brusangues · January 27, 2025 17:29
diff --git a/ridge_vs_lasso.ipynb b/ridge_vs_lasso.ipynb
 {
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "collapsed_sections": [
        "zZcLVkscs8bn"
      ],
      "authorship_tag": "ABX9TyOCgCb2npK38ai2CMCZ1FbS",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/gist/brusangues/0f887c83e92a3d3df12438ec2d1d0da9/ridge_vs_lasso.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Fontes e Inicialização"
      ],
      "metadata": {
        "id": "zZcLVkscs8bn"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# https://www.analyticsvidhya.com/blog/2016/01/ridge-lasso-regression-python-complete-tutorial/\n",
        "# https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LinearRegression.html\n",
        "# https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.Ridge.html\n",
        "# https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.Lasso.html\n",
        "# https://www.youtube.com/watch?v=Xm2C_gTAl8c"
      ],
      "metadata": {
        "id": "q0WnEONgnJ7c"
      },
      "execution_count": 1,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "import random\n",
        "\n",
        "import matplotlib.pyplot as plt\n",
        "from matplotlib.pylab import rcParams\n",
        "\n",
        "pd.set_option('display.max_columns', 500)\n",
        "pd.set_option('display.max_rows', 500)"
      ],
      "metadata": {
        "id": "vxamxUdBnSoL"
      },
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Criando dataset"
      ],
      "metadata": {
        "id": "0jn0DL8QsLqb"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 452
        },
        "id": "Tm0LgRspl6LI",
        "outputId": "16c4b87f-1d8f-48ec-daa6-534ee1defef8"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "#Define input array with angles from 60deg to 300deg converted to radians\n",
        "x = np.array([i*np.pi/180 for i in range(60,300,4)])\n",
        "np.random.seed(10)  #Setting seed for reproducibility\n",
        "y = np.sin(x) + np.random.normal(0,0.15,len(x))\n",
        "data = pd.DataFrame(np.column_stack([x,y]),columns=['x','y'])\n",
        "plt.plot(data['x'],data['y'],'.')\n",
        "plt.title(\"Dataset\")\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Use standard scaler\n",
        "from sklearn.preprocessing import StandardScaler\n",
        "scaler = StandardScaler()\n",
        "data[['x']] = scaler.fit_transform(data[['x']])\n",
        "data.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "kIiOR90NwW9S",
        "outputId": "1ee68c0c-da0c-4070-8488-42866e4efdbe"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "          x         y\n",
              "0 -1.703420  1.065763\n",
              "1 -1.645677  1.006086\n",
              "2 -1.587934  0.695374\n",
              "3 -1.530191  0.949799\n",
              "4 -1.472448  1.063496"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-e809b94a-65fa-463a-a5da-185e8b07b64e\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>x</th>\n",
              "      <th>y</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>-1.703420</td>\n",
              "      <td>1.065763</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>-1.645677</td>\n",
              "      <td>1.006086</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>-1.587934</td>\n",
              "      <td>0.695374</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>-1.530191</td>\n",
              "      <td>0.949799</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>-1.472448</td>\n",
              "      <td>1.063496</td>\n",
              "    </tr>\n",
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              "</table>\n",
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              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
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              "\n",
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            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "data",
              "summary": "{\n  \"name\": \"data\",\n  \"rows\": 60,\n  \"fields\": [\n    {\n      \"column\": \"x\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.0084389681792214,\n        \"min\": -1.7034198966380234,\n        \"max\": 1.7034198966380238,\n        \"num_unique_values\": 60,\n        \"samples\": [\n          -1.7034198966380234,\n          -1.4147046599197144,\n          0.3753298077338016\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"y\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.7913519693242002,\n        \"min\": -1.0803726877190007,\n        \"max\": 1.1507513323478282,\n        \"num_unique_values\": 60,\n        \"samples\": [\n          1.0657633794038663,\n          0.8767949189043736,\n          -0.34670514483794757\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Agora, vamos criar as demais features.\n",
        "\n",
        "Cada feature adicional é apenas a potência de X.\n",
        "\n",
        "Assim, conseguiremos plotar em 2D."
      ],
      "metadata": {
        "id": "Pyegm7KHsO_S"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "for i in range(2,16):  #power of 1 is already there\n",
        "    colname = 'x_%d'%i      #new var will be x_power\n",
        "    data[colname] = data['x']**i\n",
        "data.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 226
        },
        "id": "a5_Rny5bl_ya",
        "outputId": "421d0390-a8fe-47be-ca51-78826b0fd545"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "          x         y       x_2       x_3       x_4        x_5        x_6  \\\n",
              "0 -1.703420  1.065763  2.901639 -4.942710  8.419511 -14.341962  24.430384   \n",
              "1 -1.645677  1.006086  2.708252 -4.456908  7.334630 -12.070432  19.864030   \n",
              "2 -1.587934  0.695374  2.521534 -4.004029  6.358132 -10.096294  16.032246   \n",
              "3 -1.530191  0.949799  2.341484 -3.582917  5.482546  -8.389341  12.837293   \n",
              "4 -1.472448  1.063496  2.168102 -3.192417  4.700667  -6.921487  10.191528   \n",
              "\n",
              "         x_7        x_8         x_9        x_10        x_11        x_12  \\\n",
              "0 -41.615202  70.888164 -120.752308  205.691884 -350.379648  596.843664   \n",
              "1 -32.689774  53.796804  -88.532155  145.695318 -239.767413  394.579680   \n",
              "2 -25.458145  40.425849  -64.193572  101.935143 -161.866259  257.032904   \n",
              "3 -19.643507  30.058312  -45.994951   70.381049 -107.696431  164.796083   \n",
              "4 -15.006491  22.096274  -32.535608   47.906981  -70.540524  103.867233   \n",
              "\n",
              "          x_13         x_14         x_15  \n",
              "0 -1016.675373  1731.825059 -2950.025263  \n",
              "1  -649.350645  1068.621323 -1758.605373  \n",
              "2  -408.151236   648.117144 -1029.167120  \n",
              "3  -252.169442   385.867349  -590.450649  \n",
              "4  -152.939069   225.194781  -331.587539  "
            ],
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              "      <th>0</th>\n",
              "      <td>-1.703420</td>\n",
              "      <td>1.065763</td>\n",
              "      <td>2.901639</td>\n",
              "      <td>-4.942710</td>\n",
              "      <td>8.419511</td>\n",
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              "      <td>-1758.605373</td>\n",
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              "      <td>-408.151236</td>\n",
              "      <td>648.117144</td>\n",
              "      <td>-1029.167120</td>\n",
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              "      <td>-1.530191</td>\n",
              "      <td>0.949799</td>\n",
              "      <td>2.341484</td>\n",
              "      <td>-3.582917</td>\n",
              "      <td>5.482546</td>\n",
              "      <td>-8.389341</td>\n",
              "      <td>12.837293</td>\n",
              "      <td>-19.643507</td>\n",
              "      <td>30.058312</td>\n",
              "      <td>-45.994951</td>\n",
              "      <td>70.381049</td>\n",
              "      <td>-107.696431</td>\n",
              "      <td>164.796083</td>\n",
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              "      <td>385.867349</td>\n",
              "      <td>-590.450649</td>\n",
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              "      <td>1.063496</td>\n",
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              "      <td>-3.192417</td>\n",
              "      <td>4.700667</td>\n",
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              "      <td>225.194781</td>\n",
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              "        document.querySelector('#df-5a73229c-e083-4db7-ad4e-9b2e1d3e7c49 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-5a73229c-e083-4db7-ad4e-9b2e1d3e7c49');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-100f4a92-05fd-47a0-9a8c-39ffbf5815b8\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-100f4a92-05fd-47a0-9a8c-39ffbf5815b8')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-100f4a92-05fd-47a0-9a8c-39ffbf5815b8 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
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            }
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Treinando regressão linear sem regularização\n",
        "\n",
        "Variando apenas o número de variáveis."
      ],
      "metadata": {
        "id": "w0yQHu9ytiGp"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#Import Linear Regression model from scikit-learn.\n",
        "from sklearn.linear_model import LinearRegression\n",
        "\n",
        "#Fit the model\n",
        "linreg = LinearRegression()\n",
        "linreg.fit(data.filter(regex=\"x$\"),data['y'])\n",
        "y_pred = linreg.predict(data.filter(regex=\"x$\"))\n",
        "\n",
        "#Check if a plot is to be made for the entered power\n",
        "plt.plot(data['x'],y_pred)\n",
        "plt.plot(data['x'],data['y'],'.')\n",
        "plt.title(\"Modelo utilizando apenas uma variável\")\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 453
        },
        "id": "dxJQ6WdduNsO",
        "outputId": "e9bb8fd2-d40d-4cfe-9637-80a19b5f2e33"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Na regressão ridge, vamos adicionar o seguinte termo na função objetivo:\n",
        "display(linreg.coef_)\n",
        "sum(linreg.coef_ ** 2)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 52
        },
        "id": "TD2Ecg5uyadq",
        "outputId": "608b8939-03d5-47a8-8e77-94c461fbfbf7"
      },
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "array([-0.74908525])"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.5611287137007841"
            ]
          },
          "metadata": {},
          "execution_count": 25
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Já no lasso, vamos adicionar o seguinte termo na função objetivo:\n",
        "display(linreg.coef_)\n",
        "sum(abs(linreg.coef_))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 52
        },
        "id": "ZlyUXit3yomb",
        "outputId": "a5008754-d35c-4390-806a-47fffdb658ae"
      },
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "array([-0.74908525])"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.7490852512903883"
            ]
          },
          "metadata": {},
          "execution_count": 26
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Configurando tamanho de fig padrão\n",
        "rcParams['figure.figsize'] = 12, 10\n",
        "\n",
        "def linear_regression(data, power, models_to_plot):\n",
        "    #initialize predictors:\n",
        "    predictors=['x']\n",
        "    if power>=2:\n",
        "        predictors.extend(['x_%d'%i for i in range(2,power+1)])\n",
        "\n",
        "    #Fit the model\n",
        "    linreg = LinearRegression()\n",
        "    linreg.fit(data[predictors],data['y'])\n",
        "    y_pred = linreg.predict(data[predictors])\n",
        "\n",
        "    #Check if a plot is to be made for the entered power\n",
        "    if power in models_to_plot:\n",
        "        plt.subplot(models_to_plot[power])\n",
        "        plt.tight_layout()\n",
        "        plt.plot(data['x'],y_pred)\n",
        "        plt.plot(data['x'],data['y'],'.')\n",
        "        plt.title('Plot for power: %d'%power)\n",
        "\n",
        "    #Return the result in pre-defined format\n",
        "    rss = sum((y_pred-data['y'])**2)\n",
        "    ret = [rss]\n",
        "    ret.extend([linreg.intercept_])\n",
        "    ret.extend(linreg.coef_)\n",
        "    return ret\n",
        "#Initialize a dataframe to store the results:\n",
        "col = ['rss','intercept'] + ['coef_x_%d'%i for i in range(1,16)]\n",
        "ind = ['model_pow_%d'%i for i in range(1,16)]\n",
        "coef_matrix_simple = pd.DataFrame(index=ind, columns=col)\n",
        "\n",
        "#Define the powers for which a plot is required:\n",
        "models_to_plot = {1:231,3:232,6:233,9:234,12:235,15:236}\n",
        "\n",
        "#Iterate through all powers and assimilate results\n",
        "for i in range(1,16):\n",
        "    coef_matrix_simple.iloc[i-1,0:i+2] = linear_regression(data, power=i, models_to_plot=models_to_plot)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 919
        },
        "id": "ZkK08D3PmHnt",
        "outputId": "9f3b6787-c4bc-4e81-960f-04d74842b13a"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x1000 with 6 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Set the display format to be scientific for ease of analysis\n",
        "pd.options.display.float_format = '{:,.2g}'.format\n",
        "coef_matrix_simple"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 540
        },
        "id": "M0fe-fg6mWP_",
        "outputId": "0250448a-88a6-4c56-cc01-67a91975d5be"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "              rss intercept coef_x_1 coef_x_2 coef_x_3 coef_x_4 coef_x_5  \\\n",
              "model_pow_1   3.3     0.038    -0.75      NaN      NaN      NaN      NaN   \n",
              "model_pow_2   3.3     0.047    -0.75  -0.0087      NaN      NaN      NaN   \n",
              "model_pow_3   1.1     0.047     -1.2  -0.0087     0.24      NaN      NaN   \n",
              "model_pow_4   1.1      0.07     -1.2   -0.085     0.24     0.03      NaN   \n",
              "model_pow_5     1      0.07     -1.3   -0.085     0.42     0.03   -0.053   \n",
              "model_pow_6  0.99     0.094     -1.3    -0.26     0.42      0.2   -0.053   \n",
              "model_pow_7  0.93     0.094     -1.1    -0.26   -0.056      0.2      0.3   \n",
              "model_pow_8  0.92      0.11     -1.1    -0.44   -0.056     0.54      0.3   \n",
              "model_pow_9  0.87      0.11     -1.3    -0.44     0.77     0.54    -0.78   \n",
              "model_pow_10 0.87      0.11     -1.3    -0.49     0.77     0.69    -0.78   \n",
              "model_pow_11 0.87      0.11     -1.4    -0.49      1.1     0.69     -1.5   \n",
              "model_pow_12 0.87      0.11     -1.4     -0.4      1.1      0.3     -1.5   \n",
              "model_pow_13 0.86      0.11     -1.5     -0.4      2.6      0.3     -5.6   \n",
              "model_pow_14 0.79      0.07     -1.5        1      2.6     -7.8     -5.6   \n",
              "model_pow_15  0.7      0.07     -1.9        1      7.8     -7.8      -26   \n",
              "\n",
              "             coef_x_6 coef_x_7 coef_x_8 coef_x_9 coef_x_10 coef_x_11  \\\n",
              "model_pow_1       NaN      NaN      NaN      NaN       NaN       NaN   \n",
              "model_pow_2       NaN      NaN      NaN      NaN       NaN       NaN   \n",
              "model_pow_3       NaN      NaN      NaN      NaN       NaN       NaN   \n",
              "model_pow_4       NaN      NaN      NaN      NaN       NaN       NaN   \n",
              "model_pow_5       NaN      NaN      NaN      NaN       NaN       NaN   \n",
              "model_pow_6    -0.043      NaN      NaN      NaN       NaN       NaN   \n",
              "model_pow_7    -0.043   -0.073      NaN      NaN       NaN       NaN   \n",
              "model_pow_8     -0.24   -0.073    0.035      NaN       NaN       NaN   \n",
              "model_pow_9     -0.24     0.44    0.035   -0.082       NaN       NaN   \n",
              "model_pow_10    -0.39     0.44    0.097   -0.082   -0.0088       NaN   \n",
              "model_pow_11    -0.39      1.1    0.097     -0.3   -0.0088     0.028   \n",
              "model_pow_12     0.21      1.1    -0.32     -0.3      0.12     0.028   \n",
              "model_pow_13     0.21      6.1    -0.32     -3.3      0.12      0.87   \n",
              "model_pow_14       18      6.1      -18     -3.3       9.3      0.87   \n",
              "model_pow_15       18       40      -18      -33       9.3        15   \n",
              "\n",
              "             coef_x_12 coef_x_13 coef_x_14 coef_x_15  \n",
              "model_pow_1        NaN       NaN       NaN       NaN  \n",
              "model_pow_2        NaN       NaN       NaN       NaN  \n",
              "model_pow_3        NaN       NaN       NaN       NaN  \n",
              "model_pow_4        NaN       NaN       NaN       NaN  \n",
              "model_pow_5        NaN       NaN       NaN       NaN  \n",
              "model_pow_6        NaN       NaN       NaN       NaN  \n",
              "model_pow_7        NaN       NaN       NaN       NaN  \n",
              "model_pow_8        NaN       NaN       NaN       NaN  \n",
              "model_pow_9        NaN       NaN       NaN       NaN  \n",
              "model_pow_10       NaN       NaN       NaN       NaN  \n",
              "model_pow_11       NaN       NaN       NaN       NaN  \n",
              "model_pow_12    -0.015       NaN       NaN       NaN  \n",
              "model_pow_13    -0.015    -0.091       NaN       NaN  \n",
              "model_pow_14      -2.4    -0.091      0.24       NaN  \n",
              "model_pow_15      -2.4      -3.4      0.24      0.31  "
            ],
            "text/html": [
              "\n",
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>rss</th>\n",
              "      <th>intercept</th>\n",
              "      <th>coef_x_1</th>\n",
              "      <th>coef_x_2</th>\n",
              "      <th>coef_x_3</th>\n",
              "      <th>coef_x_4</th>\n",
              "      <th>coef_x_5</th>\n",
              "      <th>coef_x_6</th>\n",
              "      <th>coef_x_7</th>\n",
              "      <th>coef_x_8</th>\n",
              "      <th>coef_x_9</th>\n",
              "      <th>coef_x_10</th>\n",
              "      <th>coef_x_11</th>\n",
              "      <th>coef_x_12</th>\n",
              "      <th>coef_x_13</th>\n",
              "      <th>coef_x_14</th>\n",
              "      <th>coef_x_15</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>model_pow_1</th>\n",
              "      <td>3.3</td>\n",
              "      <td>0.038</td>\n",
              "      <td>-0.75</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>NaN</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
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              "    <tr>\n",
              "      <th>model_pow_2</th>\n",
              "      <td>3.3</td>\n",
              "      <td>0.047</td>\n",
              "      <td>-0.75</td>\n",
              "      <td>-0.0087</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
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              "    <tr>\n",
              "      <th>model_pow_3</th>\n",
              "      <td>1.1</td>\n",
              "      <td>0.047</td>\n",
              "      <td>-1.2</td>\n",
              "      <td>-0.0087</td>\n",
              "      <td>0.24</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>model_pow_4</th>\n",
              "      <td>1.1</td>\n",
              "      <td>0.07</td>\n",
              "      <td>-1.2</td>\n",
              "      <td>-0.085</td>\n",
              "      <td>0.24</td>\n",
              "      <td>0.03</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>model_pow_5</th>\n",
              "      <td>1</td>\n",
              "      <td>0.07</td>\n",
              "      <td>-1.3</td>\n",
              "      <td>-0.085</td>\n",
              "      <td>0.42</td>\n",
              "      <td>0.03</td>\n",
              "      <td>-0.053</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>model_pow_6</th>\n",
              "      <td>0.99</td>\n",
              "      <td>0.094</td>\n",
              "      <td>-1.3</td>\n",
              "      <td>-0.26</td>\n",
              "      <td>0.42</td>\n",
              "      <td>0.2</td>\n",
              "      <td>-0.053</td>\n",
              "      <td>-0.043</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>model_pow_7</th>\n",
              "      <td>0.93</td>\n",
              "      <td>0.094</td>\n",
              "      <td>-1.1</td>\n",
              "      <td>-0.26</td>\n",
              "      <td>-0.056</td>\n",
              "      <td>0.2</td>\n",
              "      <td>0.3</td>\n",
              "      <td>-0.043</td>\n",
              "      <td>-0.073</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
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              "    <tr>\n",
              "      <th>model_pow_8</th>\n",
              "      <td>0.92</td>\n",
              "      <td>0.11</td>\n",
              "      <td>-1.1</td>\n",
              "      <td>-0.44</td>\n",
              "      <td>-0.056</td>\n",
              "      <td>0.54</td>\n",
              "      <td>0.3</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
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              "    <tr>\n",
              "      <th>model_pow_9</th>\n",
              "      <td>0.87</td>\n",
              "      <td>0.11</td>\n",
              "      <td>-1.3</td>\n",
              "      <td>-0.44</td>\n",
              "      <td>0.77</td>\n",
              "      <td>0.54</td>\n",
              "      <td>-0.78</td>\n",
              "      <td>-0.24</td>\n",
              "      <td>0.44</td>\n",
              "      <td>0.035</td>\n",
              "      <td>-0.082</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>model_pow_10</th>\n",
              "      <td>0.87</td>\n",
              "      <td>0.11</td>\n",
              "      <td>-1.3</td>\n",
              "      <td>-0.49</td>\n",
              "      <td>0.77</td>\n",
              "      <td>0.69</td>\n",
              "      <td>-0.78</td>\n",
              "      <td>-0.39</td>\n",
              "      <td>0.44</td>\n",
              "      <td>0.097</td>\n",
              "      <td>-0.082</td>\n",
              "      <td>-0.0088</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>model_pow_11</th>\n",
              "      <td>0.87</td>\n",
              "      <td>0.11</td>\n",
              "      <td>-1.4</td>\n",
              "      <td>-0.49</td>\n",
              "      <td>1.1</td>\n",
              "      <td>0.69</td>\n",
              "      <td>-1.5</td>\n",
              "      <td>-0.39</td>\n",
              "      <td>1.1</td>\n",
              "      <td>0.097</td>\n",
              "      <td>-0.3</td>\n",
              "      <td>-0.0088</td>\n",
              "      <td>0.028</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
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              "    <tr>\n",
              "      <th>model_pow_12</th>\n",
              "      <td>0.87</td>\n",
              "      <td>0.11</td>\n",
              "      <td>-1.4</td>\n",
              "      <td>-0.4</td>\n",
              "      <td>1.1</td>\n",
              "      <td>0.3</td>\n",
              "      <td>-1.5</td>\n",
              "      <td>0.21</td>\n",
              "      <td>1.1</td>\n",
              "      <td>-0.32</td>\n",
              "      <td>-0.3</td>\n",
              "      <td>0.12</td>\n",
              "      <td>0.028</td>\n",
              "      <td>-0.015</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>model_pow_13</th>\n",
              "      <td>0.86</td>\n",
              "      <td>0.11</td>\n",
              "      <td>-1.5</td>\n",
              "      <td>-0.4</td>\n",
              "      <td>2.6</td>\n",
              "      <td>0.3</td>\n",
              "      <td>-5.6</td>\n",
              "      <td>0.21</td>\n",
              "      <td>6.1</td>\n",
              "      <td>-0.32</td>\n",
              "      <td>-3.3</td>\n",
              "      <td>0.12</td>\n",
              "      <td>0.87</td>\n",
              "      <td>-0.015</td>\n",
              "      <td>-0.091</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>model_pow_14</th>\n",
              "      <td>0.79</td>\n",
              "      <td>0.07</td>\n",
              "      <td>-1.5</td>\n",
              "      <td>1</td>\n",
              "      <td>2.6</td>\n",
              "      <td>-7.8</td>\n",
              "      <td>-5.6</td>\n",
              "      <td>18</td>\n",
              "      <td>6.1</td>\n",
              "      <td>-18</td>\n",
              "      <td>-3.3</td>\n",
              "      <td>9.3</td>\n",
              "      <td>0.87</td>\n",
              "      <td>-2.4</td>\n",
              "      <td>-0.091</td>\n",
              "      <td>0.24</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>model_pow_15</th>\n",
              "      <td>0.7</td>\n",
              "      <td>0.07</td>\n",
              "      <td>-1.9</td>\n",
              "      <td>1</td>\n",
              "      <td>7.8</td>\n",
              "      <td>-7.8</td>\n",
              "      <td>-26</td>\n",
              "      <td>18</td>\n",
              "      <td>40</td>\n",
              "      <td>-18</td>\n",
              "      <td>-33</td>\n",
              "      <td>9.3</td>\n",
              "      <td>15</td>\n",
              "      <td>-2.4</td>\n",
              "      <td>-3.4</td>\n",
              "      <td>0.24</td>\n",
              "      <td>0.31</td>\n",
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            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "coef_matrix_simple",
              "summary": "{\n  \"name\": \"coef_matrix_simple\",\n  \"rows\": 15,\n  \"fields\": [\n    {\n      \"column\": \"rss\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": 0.7048223068162681,\n        \"max\": 3.2803155997970506,\n        \"num_unique_values\": 15,\n        \"samples\": [\n          0.8745780848402316,\n          0.871393007750864,\n          3.2803155997970506\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"intercept\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": 0.0380319968390351,\n        \"max\": 0.11215707326125884,\n        \"num_unique_values\": 15,\n        \"samples\": [\n          0.11215707326125884,\n          0.10861877087456165,\n          0.0380319968390351\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"coef_x_1\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": -1.8832324221215595,\n        \"max\": -0.7490852512903883,\n        \"num_unique_values\": 14,\n        \"samples\": [\n          -1.3586363599879248,\n          -1.4989986806643285,\n          -0.7490852512903883\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"coef_x_2\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": -0.49213551504808883,\n        \"max\": 0.9958330259566528,\n        \"num_unique_values\": 14,\n        \"samples\": [\n          -0.49213551504808883,\n          -0.3988321961336914,\n          -0.008710231823302213\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"coef_x_3\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": -0.055887892238329934,\n        \"max\": 7.753139063820018,\n        \"num_unique_values\": 13,\n        \"samples\": [\n          2.559636232166756,\n          1.1327912160050446,\n          0.24263764302479873\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"coef_x_4\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": -7.757843088857618,\n        \"max\": 0.6902444807042497,\n        \"num_unique_values\": 12,\n        \"samples\": [\n          -7.757843088857618,\n          0.29610850822394774,\n          0.029741659948734008\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"coef_x_5\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": -25.795227478224987,\n        \"max\": 0.2972009336224562,\n        \"num_unique_values\": 11,\n        \"samples\": [\n          -0.7792932138251087,\n          -0.05335523102973604,\n          -5.62879424866876\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"coef_x_6\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": -0.3899945649893258,\n        \"max\": 17.53391736942613,\n        \"num_unique_values\": 10,\n        \"samples\": [\n          17.53391736942613,\n          -0.04251945300765435,\n          -0.3899945649893258\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"coef_x_7\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": -0.07260597208277274,\n        \"max\": 40.4147835045321,\n        \"num_unique_values\": 9,\n        \"samples\": [\n          6.084019777529303,\n          -0.07260597208277264,\n          1.0503773825991338\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"coef_x_8\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": -17.954279867486832,\n        \"max\": 0.09717741137463205,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          0.03504888608623045,\n          -0.31772160870949484,\n          0.03504888608623138\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"coef_x_9\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": -33.13741530487261,\n        \"max\": -0.0817778293838825,\n        \"num_unique_values\": 7,\n        \"samples\": [\n          -0.08177782938388423,\n          -0.0817778293838825,\n          -3.2788059253082693\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"coef_x_10\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": -0.0088158676248354,\n        \"max\": 9.296857940840242,\n        \"num_unique_values\": 6,\n        \"samples\": [\n          -0.008815867624833716,\n          -0.0088158676248354,\n          9.296857940824667\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"coef_x_11\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": 0.02773721799685913,\n        \"max\": 14.722270606585116,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          0.02773721799685913,\n          14.722270606585116,\n          0.8712618354665408\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"coef_x_12\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": -2.3725834280814904,\n        \"max\": -0.015368115009034743,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          -0.015368115009068898,\n          -2.372583428076816,\n          -0.015368115009034743\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"coef_x_13\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": -3.352061287018822,\n        \"max\": -0.09142415438166429,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          -0.09142415438199636,\n          -0.09142415438166429,\n          -3.352061287018822\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"coef_x_14\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": 0.2370836773458318,\n        \"max\": 0.23708367734637853,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          0.2370836773458318,\n          0.23708367734637853\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"coef_x_15\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": 0.3060821950636198,\n        \"max\": 0.3060821950636198,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          0.3060821950636198\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Regressão Ridge, L2\n",
        "\n",
        "Adicionando a soma dos quadrados dos pesos à função de custo"
      ],
      "metadata": {
        "id": "UNIfu0gmtxw0"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.linear_model import Ridge\n",
        "def ridge_regression(data, predictors, alpha, models_to_plot={}):\n",
        "    #Fit the model\n",
        "    ridgereg = Ridge(alpha=alpha)\n",
        "    ridgereg.fit(data[predictors],data['y'])\n",
        "    y_pred = ridgereg.predict(data[predictors])\n",
        "\n",
        "    #Check if a plot is to be made for the entered alpha\n",
        "    if alpha in models_to_plot:\n",
        "        plt.subplot(models_to_plot[alpha])\n",
        "        plt.tight_layout()\n",
        "        plt.plot(data['x'],y_pred)\n",
        "        plt.plot(data['x'],data['y'],'.')\n",
        "        plt.title('Plot for alpha: %.3g'%alpha)\n",
        "\n",
        "    #Return the result in pre-defined format\n",
        "    rss = sum((y_pred-data['y'])**2)\n",
        "    ret = [rss]\n",
        "    ret.extend([ridgereg.intercept_])\n",
        "    ret.extend(ridgereg.coef_)\n",
        "    return ret"
      ],
      "metadata": {
        "id": "ClmZe89pme3Y"
      },
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#Initialize predictors to be set of 15 powers of x\n",
        "predictors=['x']\n",
        "predictors.extend(['x_%d'%i for i in range(2,16)])\n",
        "\n",
        "#Set the different values of alpha to be tested\n",
        "alpha_ridge = [0, 1e-10, 1e-8, 1e-4, 1e-3,1e-2, 1, 5, 10, 20]\n",
        "\n",
        "#Initialize the dataframe for storing coefficients.\n",
        "col = ['rss','intercept'] + ['coef_x_%d'%i for i in range(1,16)]\n",
        "ind = ['alpha_%.2g'%alpha_ridge[i] for i in range(0,10)]\n",
        "coef_matrix_ridge = pd.DataFrame(index=ind, columns=col)\n",
        "\n",
        "models_to_plot = {0:231, 1e-10:232, 1e-4:233, 1e-3:234, 5:235, 20:236}\n",
        "for i in range(10):\n",
        "    coef_matrix_ridge.iloc[i,] = ridge_regression(data, predictors, alpha_ridge[i], models_to_plot)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 919
        },
        "id": "jSqCkqPImiVL",
        "outputId": "3b118ddf-23bc-4055-c839-7552f78c9f45"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x1000 with 6 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Set the display format to be scientific for ease of analysis\n",
        "pd.options.display.float_format = '{:,.2g}'.format\n",
        "coef_matrix_ridge"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 383
        },
        "id": "SqR88x_5m2US",
        "outputId": "f2a5b0c1-bd40-4f9c-a191-b7f384c01706"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "              rss intercept coef_x_1 coef_x_2 coef_x_3 coef_x_4 coef_x_5  \\\n",
              "alpha_0       0.7      0.07     -1.9        1      7.8     -7.8      -26   \n",
              "alpha_1e-10   0.7      0.07     -1.9        1      7.8     -7.8      -26   \n",
              "alpha_1e-08   0.7      0.07     -1.9        1      7.8     -7.8      -26   \n",
              "alpha_0.0001 0.79     0.097     -1.4      0.1      2.4       -3     -6.2   \n",
              "alpha_0.001  0.86      0.11     -1.3    -0.46     0.91     0.21     -1.3   \n",
              "alpha_0.01   0.88      0.11     -1.2    -0.39     0.39     0.36    -0.15   \n",
              "alpha_1       1.1      0.07    -0.89   -0.092    -0.18  -0.0084    0.012   \n",
              "alpha_5       2.1     0.056    -0.62   -0.039    -0.25   -0.014   -0.094   \n",
              "alpha_10      3.2     0.051    -0.48   -0.024    -0.23    -0.01    -0.11   \n",
              "alpha_20        5     0.047    -0.35   -0.014    -0.19  -0.0067    -0.11   \n",
              "\n",
              "             coef_x_6 coef_x_7 coef_x_8 coef_x_9 coef_x_10 coef_x_11  \\\n",
              "alpha_0            18       40      -18      -33       9.3        15   \n",
              "alpha_1e-10        18       40      -18      -33       9.3        15   \n",
              "alpha_1e-08        18       40      -18      -33       9.3        15   \n",
              "alpha_0.0001      7.7      8.7     -8.4     -6.6       4.5       2.8   \n",
              "alpha_0.001       1.1      1.1     -1.8    -0.45       1.1      0.11   \n",
              "alpha_0.01       0.12    0.029    -0.34   -0.024      0.21     0.057   \n",
              "alpha_1         0.021    0.065    0.017    0.042    0.0047   -0.0072   \n",
              "alpha_5        0.0028   0.0025    0.011    0.059    0.0086     0.051   \n",
              "alpha_10       0.0002   -0.025   0.0062    0.039    0.0059     0.051   \n",
              "alpha_20     -0.00095   -0.048   0.0029   0.0079    0.0034     0.035   \n",
              "\n",
              "             coef_x_12 coef_x_13 coef_x_14 coef_x_15  \n",
              "alpha_0           -2.4      -3.4      0.24      0.31  \n",
              "alpha_1e-10       -2.4      -3.4      0.24      0.31  \n",
              "alpha_1e-08       -2.4      -3.4      0.24      0.31  \n",
              "alpha_0.0001      -1.2     -0.62      0.12     0.055  \n",
              "alpha_0.001      -0.32    -0.016     0.034    0.0008  \n",
              "alpha_0.01      -0.057    -0.026     0.006    0.0033  \n",
              "alpha_1         -0.011    -0.011    0.0025    0.0026  \n",
              "alpha_5        -0.0088     -0.04    0.0017    0.0063  \n",
              "alpha_10       -0.0051    -0.027   0.00089    0.0029  \n",
              "alpha_20       -0.0022   -0.0016   0.00032   -0.0026  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-1a844203-1e5b-402d-8258-04dfb6ab32d9\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>rss</th>\n",
              "      <th>intercept</th>\n",
              "      <th>coef_x_1</th>\n",
              "      <th>coef_x_2</th>\n",
              "      <th>coef_x_3</th>\n",
              "      <th>coef_x_4</th>\n",
              "      <th>coef_x_5</th>\n",
              "      <th>coef_x_6</th>\n",
              "      <th>coef_x_7</th>\n",
              "      <th>coef_x_8</th>\n",
              "      <th>coef_x_9</th>\n",
              "      <th>coef_x_10</th>\n",
              "      <th>coef_x_11</th>\n",
              "      <th>coef_x_12</th>\n",
              "      <th>coef_x_13</th>\n",
              "      <th>coef_x_14</th>\n",
              "      <th>coef_x_15</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>alpha_0</th>\n",
              "      <td>0.7</td>\n",
              "      <td>0.07</td>\n",
              "      <td>-1.9</td>\n",
              "      <td>1</td>\n",
              "      <td>7.8</td>\n",
              "      <td>-7.8</td>\n",
              "      <td>-26</td>\n",
              "      <td>18</td>\n",
              "      <td>40</td>\n",
              "      <td>-18</td>\n",
              "      <td>-33</td>\n",
              "      <td>9.3</td>\n",
              "      <td>15</td>\n",
              "      <td>-2.4</td>\n",
              "      <td>-3.4</td>\n",
              "      <td>0.24</td>\n",
              "      <td>0.31</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>alpha_1e-10</th>\n",
              "      <td>0.7</td>\n",
              "      <td>0.07</td>\n",
              "      <td>-1.9</td>\n",
              "      <td>1</td>\n",
              "      <td>7.8</td>\n",
              "      <td>-7.8</td>\n",
              "      <td>-26</td>\n",
              "      <td>18</td>\n",
              "      <td>40</td>\n",
              "      <td>-18</td>\n",
              "      <td>-33</td>\n",
              "      <td>9.3</td>\n",
              "      <td>15</td>\n",
              "      <td>-2.4</td>\n",
              "      <td>-3.4</td>\n",
              "      <td>0.24</td>\n",
              "      <td>0.31</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>alpha_1e-08</th>\n",
              "      <td>0.7</td>\n",
              "      <td>0.07</td>\n",
              "      <td>-1.9</td>\n",
              "      <td>1</td>\n",
              "      <td>7.8</td>\n",
              "      <td>-7.8</td>\n",
              "      <td>-26</td>\n",
              "      <td>18</td>\n",
              "      <td>40</td>\n",
              "      <td>-18</td>\n",
              "      <td>-33</td>\n",
              "      <td>9.3</td>\n",
              "      <td>15</td>\n",
              "      <td>-2.4</td>\n",
              "      <td>-3.4</td>\n",
              "      <td>0.24</td>\n",
              "      <td>0.31</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>alpha_0.0001</th>\n",
              "      <td>0.79</td>\n",
              "      <td>0.097</td>\n",
              "      <td>-1.4</td>\n",
              "      <td>0.1</td>\n",
              "      <td>2.4</td>\n",
              "      <td>-3</td>\n",
              "      <td>-6.2</td>\n",
              "      <td>7.7</td>\n",
              "      <td>8.7</td>\n",
              "      <td>-8.4</td>\n",
              "      <td>-6.6</td>\n",
              "      <td>4.5</td>\n",
              "      <td>2.8</td>\n",
              "      <td>-1.2</td>\n",
              "      <td>-0.62</td>\n",
              "      <td>0.12</td>\n",
              "      <td>0.055</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>alpha_0.001</th>\n",
              "      <td>0.86</td>\n",
              "      <td>0.11</td>\n",
              "      <td>-1.3</td>\n",
              "      <td>-0.46</td>\n",
              "      <td>0.91</td>\n",
              "      <td>0.21</td>\n",
              "      <td>-1.3</td>\n",
              "      <td>1.1</td>\n",
              "      <td>1.1</td>\n",
              "      <td>-1.8</td>\n",
              "      <td>-0.45</td>\n",
              "      <td>1.1</td>\n",
              "      <td>0.11</td>\n",
              "      <td>-0.32</td>\n",
              "      <td>-0.016</td>\n",
              "      <td>0.034</td>\n",
              "      <td>0.0008</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>alpha_0.01</th>\n",
              "      <td>0.88</td>\n",
              "      <td>0.11</td>\n",
              "      <td>-1.2</td>\n",
              "      <td>-0.39</td>\n",
              "      <td>0.39</td>\n",
              "      <td>0.36</td>\n",
              "      <td>-0.15</td>\n",
              "      <td>0.12</td>\n",
              "      <td>0.029</td>\n",
              "      <td>-0.34</td>\n",
              "      <td>-0.024</td>\n",
              "      <td>0.21</td>\n",
              "      <td>0.057</td>\n",
              "      <td>-0.057</td>\n",
              "      <td>-0.026</td>\n",
              "      <td>0.006</td>\n",
              "      <td>0.0033</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>alpha_1</th>\n",
              "      <td>1.1</td>\n",
              "      <td>0.07</td>\n",
              "      <td>-0.89</td>\n",
              "      <td>-0.092</td>\n",
              "      <td>-0.18</td>\n",
              "      <td>-0.0084</td>\n",
              "      <td>0.012</td>\n",
              "      <td>0.021</td>\n",
              "      <td>0.065</td>\n",
              "      <td>0.017</td>\n",
              "      <td>0.042</td>\n",
              "      <td>0.0047</td>\n",
              "      <td>-0.0072</td>\n",
              "      <td>-0.011</td>\n",
              "      <td>-0.011</td>\n",
              "      <td>0.0025</td>\n",
              "      <td>0.0026</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>alpha_5</th>\n",
              "      <td>2.1</td>\n",
              "      <td>0.056</td>\n",
              "      <td>-0.62</td>\n",
              "      <td>-0.039</td>\n",
              "      <td>-0.25</td>\n",
              "      <td>-0.014</td>\n",
              "      <td>-0.094</td>\n",
              "      <td>0.0028</td>\n",
              "      <td>0.0025</td>\n",
              "      <td>0.011</td>\n",
              "      <td>0.059</td>\n",
              "      <td>0.0086</td>\n",
              "      <td>0.051</td>\n",
              "      <td>-0.0088</td>\n",
              "      <td>-0.04</td>\n",
              "      <td>0.0017</td>\n",
              "      <td>0.0063</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>alpha_10</th>\n",
              "      <td>3.2</td>\n",
              "      <td>0.051</td>\n",
              "      <td>-0.48</td>\n",
              "      <td>-0.024</td>\n",
              "      <td>-0.23</td>\n",
              "      <td>-0.01</td>\n",
              "      <td>-0.11</td>\n",
              "      <td>0.0002</td>\n",
              "      <td>-0.025</td>\n",
              "      <td>0.0062</td>\n",
              "      <td>0.039</td>\n",
              "      <td>0.0059</td>\n",
              "      <td>0.051</td>\n",
              "      <td>-0.0051</td>\n",
              "      <td>-0.027</td>\n",
              "      <td>0.00089</td>\n",
              "      <td>0.0029</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>alpha_20</th>\n",
              "      <td>5</td>\n",
              "      <td>0.047</td>\n",
              "      <td>-0.35</td>\n",
              "      <td>-0.014</td>\n",
              "      <td>-0.19</td>\n",
              "      <td>-0.0067</td>\n",
              "      <td>-0.11</td>\n",
              "      <td>-0.00095</td>\n",
              "      <td>-0.048</td>\n",
              "      <td>0.0029</td>\n",
              "      <td>0.0079</td>\n",
              "      <td>0.0034</td>\n",
              "      <td>0.035</td>\n",
              "      <td>-0.0022</td>\n",
              "      <td>-0.0016</td>\n",
              "      <td>0.00032</td>\n",
              "      <td>-0.0026</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
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              "\n",
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              "type": "dataframe",
              "variable_name": "coef_matrix_ridge",
              "summary": "{\n  \"name\": \"coef_matrix_ridge\",\n  \"rows\": 10,\n  \"fields\": [\n    {\n      \"column\": \"rss\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": 0.7048223068160637,\n        \"max\": 4.999293151629137,\n        \"num_unique_values\": 10,\n        \"samples\": [\n          3.1800408304121834,\n          0.7048223068180357,\n          0.876616396673694\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"intercept\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": 0.046757869967216245,\n        \"max\": 0.11367589404711011,\n        \"num_unique_values\": 10,\n        \"samples\": [\n          0.05076201150926239,\n          0.0695330148904614,\n          0.10549749902882795\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"coef_x_1\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": -1.8832324043934514,\n        \"max\": -0.3504737051135752,\n        \"num_unique_values\": 10,\n        \"samples\": [\n          -0.48216414606962804,\n          -1.883230156531545,\n          -1.2387216610204852\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"coef_x_2\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": -0.46489110722798255,\n        \"max\": 0.9958335154150136,\n        \"num_unique_values\": 10,\n        \"samples\": [\n          -0.024303416285411918,\n          0.9958314966667315,\n          -0.38985205687664926\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"coef_x_3\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": -0.24656283505467844,\n        \"max\": 7.753138692048954,\n        \"num_unique_values\": 10,\n        \"samples\": [\n          -0.22879298555779384,\n          7.753110742801179,\n          0.38897656226120075\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"coef_x_4\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": -7.757845817084339,\n        \"max\": 0.3565935169337166,\n        \"num_unique_values\": 10,\n        \"samples\": [\n          -0.010021372783033772,\n          -7.757835000363109,\n          0.3565935169337166\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"coef_x_5\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": -25.79522568412038,\n        \"max\": 0.01177553326997804,\n        \"num_unique_values\": 10,\n        \"samples\": [\n          -0.11145870859225389,\n          -25.795123563608758,\n          -0.14958359895545764\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"coef_x_6\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": -0.0009483332372733572,\n        \"max\": 17.53392308430858,\n        \"num_unique_values\": 10,\n        \"samples\": [\n          0.0001984442703173078,\n          17.53390107678801,\n          0.11981969449170493\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"coef_x_7\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": -0.04784045642392969,\n        \"max\": 40.41478001800435,\n        \"num_unique_values\": 10,\n        \"samples\": [\n          -0.025191432525253944,\n          40.414614068657116,\n          0.029193970878680916\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"coef_x_8\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": -17.954285569444853,\n        \"max\": 0.017356823134421967,\n        \"num_unique_values\": 10,\n        \"samples\": [\n          0.006215230811120363,\n          -17.954264098172658,\n          -0.34481471583660744\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"coef_x_9\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": -33.137411988383946,\n        \"max\": 0.058996861521950356,\n        \"num_unique_values\": 10,\n        \"samples\": [\n          0.03886922905764376,\n          -33.13727286008943,\n          -0.024296977540913405\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"coef_x_10\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": 0.0033790074574293356,\n        \"max\": 9.296860859376599,\n        \"num_unique_values\": 10,\n        \"samples\": [\n          0.005889768647223833,\n          9.296850062825934,\n          0.21094582197857\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"coef_x_11\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": -0.007186026736185571,\n        \"max\": 14.722268965273278,\n        \"num_unique_values\": 10,\n        \"samples\": [\n          0.050565707467948695,\n          14.722206315475649,\n          0.05678466341561064\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"coef_x_12\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": -2.3725841680455577,\n        \"max\": -0.0022491613972543856,\n        \"num_unique_values\": 10,\n        \"samples\": [\n          -0.005122794056474715,\n          -2.3725814698626166,\n          -0.05732520880495162\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"coef_x_13\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": -3.3520608812768673,\n        \"max\": -0.0015777137200878996,\n        \"num_unique_values\": 10,\n        \"samples\": [\n          -0.026847165324807843,\n          -3.3520464903161424,\n          -0.026309576075094983\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"coef_x_14\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": 0.0003212954297420006,\n        \"max\": 0.2370837509569799,\n        \"num_unique_values\": 10,\n        \"samples\": [\n          0.000892215817653915,\n          0.23708348572373683,\n          0.006010939446101114\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"coef_x_15\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": -0.0026060271804397178,\n        \"max\": 0.30608215549249546,\n        \"num_unique_values\": 10,\n        \"samples\": [\n          0.0028521832449852013,\n          0.30608083206682873,\n          0.003346986267353794\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Regressão Lasso, L1\n",
        "Adicionando a soma dos valores absolutos dos pesos à função de custo"
      ],
      "metadata": {
        "id": "3rkSOWRot9v4"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.linear_model import Lasso\n",
        "def lasso_regression(data, predictors, alpha, models_to_plot={}):\n",
        "    #Fit the model\n",
        "    lassoreg = Lasso(alpha=alpha)\n",
        "    lassoreg.fit(data[predictors],data['y'])\n",
        "    y_pred = lassoreg.predict(data[predictors])\n",
        "\n",
        "    #Check if a plot is to be made for the entered alpha\n",
        "    if alpha in models_to_plot:\n",
        "        plt.subplot(models_to_plot[alpha])\n",
        "        plt.tight_layout()\n",
        "        plt.plot(data['x'],y_pred)\n",
        "        plt.plot(data['x'],data['y'],'.')\n",
        "        plt.title('Plot for alpha: %.3g'%alpha)\n",
        "\n",
        "    #Return the result in pre-defined format\n",
        "    rss = sum((y_pred-data['y'])**2)\n",
        "    ret = [rss]\n",
        "    ret.extend([lassoreg.intercept_])\n",
        "    ret.extend(lassoreg.coef_)\n",
        "    return ret"
      ],
      "metadata": {
        "id": "CAVYRDTauE20"
      },
      "execution_count": 12,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#Initialize predictors to all 15 powers of x\n",
        "predictors=['x']\n",
        "predictors.extend(['x_%d'%i for i in range(2,16)])\n",
        "\n",
        "#Define the alpha values to test\n",
        "alpha_lasso = [1e-15, 1e-10, 1e-8, 1e-5,1e-4, 1e-3,1e-2, 1, 5, 10]\n",
        "\n",
        "#Initialize the dataframe to store coefficients\n",
        "col = ['rss','intercept'] + ['coef_x_%d'%i for i in range(1,16)]\n",
        "ind = ['alpha_%.2g'%alpha_lasso[i] for i in range(0,10)]\n",
        "coef_matrix_lasso = pd.DataFrame(index=ind, columns=col)\n",
        "\n",
        "#Define the models to plot\n",
        "models_to_plot = {1e-10:231, 1e-5:232, 1e-3:233, 1e-2:234, 1:235, 10:236}\n",
        "\n",
        "#Iterate over the 10 alpha values:\n",
        "for i in range(10):\n",
        "    coef_matrix_lasso.iloc[i,] = lasso_regression(data, predictors, alpha_lasso[i], models_to_plot)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "GNbOz0-jvUwm",
        "outputId": "0abc01e5-ee25-43b1-fc4f-8a8d3e015f5b"
      },
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.11/dist-packages/sklearn/linear_model/_coordinate_descent.py:695: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.459e-01, tolerance: 3.695e-03\n",
            "  model = cd_fast.enet_coordinate_descent(\n",
            "/usr/local/lib/python3.11/dist-packages/sklearn/linear_model/_coordinate_descent.py:695: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.459e-01, tolerance: 3.695e-03\n",
            "  model = cd_fast.enet_coordinate_descent(\n",
            "/usr/local/lib/python3.11/dist-packages/sklearn/linear_model/_coordinate_descent.py:695: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.459e-01, tolerance: 3.695e-03\n",
            "  model = cd_fast.enet_coordinate_descent(\n",
            "/usr/local/lib/python3.11/dist-packages/sklearn/linear_model/_coordinate_descent.py:695: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.459e-01, tolerance: 3.695e-03\n",
            "  model = cd_fast.enet_coordinate_descent(\n",
            "/usr/local/lib/python3.11/dist-packages/sklearn/linear_model/_coordinate_descent.py:695: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.444e-01, tolerance: 3.695e-03\n",
            "  model = cd_fast.enet_coordinate_descent(\n",
            "/usr/local/lib/python3.11/dist-packages/sklearn/linear_model/_coordinate_descent.py:695: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.404e-01, tolerance: 3.695e-03\n",
            "  model = cd_fast.enet_coordinate_descent(\n",
            "/usr/local/lib/python3.11/dist-packages/sklearn/linear_model/_coordinate_descent.py:695: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.501e-02, tolerance: 3.695e-03\n",
            "  model = cd_fast.enet_coordinate_descent(\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x1000 with 6 Axes>"
            ],
            "image/png": 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          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "coef_matrix_lasso"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 383
        },
        "id": "vmXSbKcDw7Aa",
        "outputId": "8a10d99c-f9b2-4791-e3ab-1c746d544bfe"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "              rss intercept coef_x_1 coef_x_2 coef_x_3 coef_x_4 coef_x_5  \\\n",
              "alpha_1e-15  0.89     0.095     -1.2    -0.28     0.17     0.23    0.024   \n",
              "alpha_1e-10  0.89     0.095     -1.2    -0.28     0.17     0.23    0.024   \n",
              "alpha_1e-08  0.89     0.095     -1.2    -0.28     0.17     0.23    0.024   \n",
              "alpha_1e-05  0.89     0.095     -1.2    -0.28     0.17     0.23    0.024   \n",
              "alpha_0.0001 0.89     0.093     -1.2    -0.26     0.16     0.21    0.029   \n",
              "alpha_0.001  0.92     0.071     -1.1    -0.11    0.069    0.031    0.073   \n",
              "alpha_0.01    1.1     0.038       -1       -0        0       -0        0   \n",
              "alpha_1        24     0.038       -0       -0       -0       -0       -0   \n",
              "alpha_5        30     0.038       -0       -0       -0       -0       -0   \n",
              "alpha_10       30     0.038       -0       -0       -0       -0       -0   \n",
              "\n",
              "             coef_x_6 coef_x_7 coef_x_8 coef_x_9 coef_x_10 coef_x_11  \\\n",
              "alpha_1e-15    -0.036    0.015  -0.0088   0.0022  -0.00072  -0.00033   \n",
              "alpha_1e-10    -0.036    0.015  -0.0088   0.0022  -0.00072  -0.00033   \n",
              "alpha_1e-08    -0.036    0.015  -0.0088   0.0022  -0.00072  -0.00033   \n",
              "alpha_1e-05    -0.034    0.015  -0.0089   0.0022  -0.00074  -0.00033   \n",
              "alpha_0.0001   -0.025    0.015  -0.0095   0.0021  -0.00088  -0.00034   \n",
              "alpha_0.001      0.02    0.012  -0.0012  0.00085    -0.003  -0.00041   \n",
              "alpha_0.01         -0    0.046       -0   0.0041        -0         0   \n",
              "alpha_1             0       -0        0       -0         0    -0.019   \n",
              "alpha_5             0       -0        0       -0         0        -0   \n",
              "alpha_10            0       -0        0       -0         0        -0   \n",
              "\n",
              "             coef_x_12 coef_x_13 coef_x_14 coef_x_15  \n",
              "alpha_1e-15    0.00024  -0.00039   0.00019  -0.00019  \n",
              "alpha_1e-10    0.00024  -0.00039   0.00019  -0.00019  \n",
              "alpha_1e-08    0.00024  -0.00039   0.00019  -0.00019  \n",
              "alpha_1e-05    0.00023   -0.0004   0.00019  -0.00019  \n",
              "alpha_0.0001   0.00021   -0.0004   0.00019  -0.00019  \n",
              "alpha_0.001    -0.0001  -0.00044   0.00016  -0.00017  \n",
              "alpha_0.01           0  -0.00094   2.4e-06  -0.00026  \n",
              "alpha_1              0        -0         0     0.002  \n",
              "alpha_5              0   -0.0014         0        -0  \n",
              "alpha_10             0        -0         0  -0.00047  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-32b3c12e-5253-41aa-8f6f-7ba8e64be33d\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>rss</th>\n",
              "      <th>intercept</th>\n",
              "      <th>coef_x_1</th>\n",
              "      <th>coef_x_2</th>\n",
              "      <th>coef_x_3</th>\n",
              "      <th>coef_x_4</th>\n",
              "      <th>coef_x_5</th>\n",
              "      <th>coef_x_6</th>\n",
              "      <th>coef_x_7</th>\n",
              "      <th>coef_x_8</th>\n",
              "      <th>coef_x_9</th>\n",
              "      <th>coef_x_10</th>\n",
              "      <th>coef_x_11</th>\n",
              "      <th>coef_x_12</th>\n",
              "      <th>coef_x_13</th>\n",
              "      <th>coef_x_14</th>\n",
              "      <th>coef_x_15</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>alpha_1e-15</th>\n",
              "      <td>0.89</td>\n",
              "      <td>0.095</td>\n",
              "      <td>-1.2</td>\n",
              "      <td>-0.28</td>\n",
              "      <td>0.17</td>\n",
              "      <td>0.23</td>\n",
              "      <td>0.024</td>\n",
              "      <td>-0.036</td>\n",
              "      <td>0.015</td>\n",
              "      <td>-0.0088</td>\n",
              "      <td>0.0022</td>\n",
              "      <td>-0.00072</td>\n",
              "      <td>-0.00033</td>\n",
              "      <td>0.00024</td>\n",
              "      <td>-0.00039</td>\n",
              "      <td>0.00019</td>\n",
              "      <td>-0.00019</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>alpha_1e-10</th>\n",
              "      <td>0.89</td>\n",
              "      <td>0.095</td>\n",
              "      <td>-1.2</td>\n",
              "      <td>-0.28</td>\n",
              "      <td>0.17</td>\n",
              "      <td>0.23</td>\n",
              "      <td>0.024</td>\n",
              "      <td>-0.036</td>\n",
              "      <td>0.015</td>\n",
              "      <td>-0.0088</td>\n",
              "      <td>0.0022</td>\n",
              "      <td>-0.00072</td>\n",
              "      <td>-0.00033</td>\n",
              "      <td>0.00024</td>\n",
              "      <td>-0.00039</td>\n",
              "      <td>0.00019</td>\n",
              "      <td>-0.00019</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>alpha_1e-08</th>\n",
              "      <td>0.89</td>\n",
              "      <td>0.095</td>\n",
              "      <td>-1.2</td>\n",
              "      <td>-0.28</td>\n",
              "      <td>0.17</td>\n",
              "      <td>0.23</td>\n",
              "      <td>0.024</td>\n",
              "      <td>-0.036</td>\n",
              "      <td>0.015</td>\n",
              "      <td>-0.0088</td>\n",
              "      <td>0.0022</td>\n",
              "      <td>-0.00072</td>\n",
              "      <td>-0.00033</td>\n",
              "      <td>0.00024</td>\n",
              "      <td>-0.00039</td>\n",
              "      <td>0.00019</td>\n",
              "      <td>-0.00019</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>alpha_1e-05</th>\n",
              "      <td>0.89</td>\n",
              "      <td>0.095</td>\n",
              "      <td>-1.2</td>\n",
              "      <td>-0.28</td>\n",
              "      <td>0.17</td>\n",
              "      <td>0.23</td>\n",
              "      <td>0.024</td>\n",
              "      <td>-0.034</td>\n",
              "      <td>0.015</td>\n",
              "      <td>-0.0089</td>\n",
              "      <td>0.0022</td>\n",
              "      <td>-0.00074</td>\n",
              "      <td>-0.00033</td>\n",
              "      <td>0.00023</td>\n",
              "      <td>-0.0004</td>\n",
              "      <td>0.00019</td>\n",
              "      <td>-0.00019</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>alpha_0.0001</th>\n",
              "      <td>0.89</td>\n",
              "      <td>0.093</td>\n",
              "      <td>-1.2</td>\n",
              "      <td>-0.26</td>\n",
              "      <td>0.16</td>\n",
              "      <td>0.21</td>\n",
              "      <td>0.029</td>\n",
              "      <td>-0.025</td>\n",
              "      <td>0.015</td>\n",
              "      <td>-0.0095</td>\n",
              "      <td>0.0021</td>\n",
              "      <td>-0.00088</td>\n",
              "      <td>-0.00034</td>\n",
              "      <td>0.00021</td>\n",
              "      <td>-0.0004</td>\n",
              "      <td>0.00019</td>\n",
              "      <td>-0.00019</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>alpha_0.001</th>\n",
              "      <td>0.92</td>\n",
              "      <td>0.071</td>\n",
              "      <td>-1.1</td>\n",
              "      <td>-0.11</td>\n",
              "      <td>0.069</td>\n",
              "      <td>0.031</td>\n",
              "      <td>0.073</td>\n",
              "      <td>0.02</td>\n",
              "      <td>0.012</td>\n",
              "      <td>-0.0012</td>\n",
              "      <td>0.00085</td>\n",
              "      <td>-0.003</td>\n",
              "      <td>-0.00041</td>\n",
              "      <td>-0.0001</td>\n",
              "      <td>-0.00044</td>\n",
              "      <td>0.00016</td>\n",
              "      <td>-0.00017</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>alpha_0.01</th>\n",
              "      <td>1.1</td>\n",
              "      <td>0.038</td>\n",
              "      <td>-1</td>\n",
              "      <td>-0</td>\n",
              "      <td>0</td>\n",
              "      <td>-0</td>\n",
              "      <td>0</td>\n",
              "      <td>-0</td>\n",
              "      <td>0.046</td>\n",
              "      <td>-0</td>\n",
              "      <td>0.0041</td>\n",
              "      <td>-0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>-0.00094</td>\n",
              "      <td>2.4e-06</td>\n",
              "      <td>-0.00026</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>alpha_1</th>\n",
              "      <td>24</td>\n",
              "      <td>0.038</td>\n",
              "      <td>-0</td>\n",
              "      <td>-0</td>\n",
              "      <td>-0</td>\n",
              "      <td>-0</td>\n",
              "      <td>-0</td>\n",
              "      <td>0</td>\n",
              "      <td>-0</td>\n",
              "      <td>0</td>\n",
              "      <td>-0</td>\n",
              "      <td>0</td>\n",
              "      <td>-0.019</td>\n",
              "      <td>0</td>\n",
              "      <td>-0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.002</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>alpha_5</th>\n",
              "      <td>30</td>\n",
              "      <td>0.038</td>\n",
              "      <td>-0</td>\n",
              "      <td>-0</td>\n",
              "      <td>-0</td>\n",
              "      <td>-0</td>\n",
              "      <td>-0</td>\n",
              "      <td>0</td>\n",
              "      <td>-0</td>\n",
              "      <td>0</td>\n",
              "      <td>-0</td>\n",
              "      <td>0</td>\n",
              "      <td>-0</td>\n",
              "      <td>0</td>\n",
              "      <td>-0.0014</td>\n",
              "      <td>0</td>\n",
              "      <td>-0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>alpha_10</th>\n",
              "      <td>30</td>\n",
              "      <td>0.038</td>\n",
              "      <td>-0</td>\n",
              "      <td>-0</td>\n",
              "      <td>-0</td>\n",
              "      <td>-0</td>\n",
              "      <td>-0</td>\n",
              "      <td>0</td>\n",
              "      <td>-0</td>\n",
              "      <td>0</td>\n",
              "      <td>-0</td>\n",
              "      <td>0</td>\n",
              "      <td>-0</td>\n",
              "      <td>0</td>\n",
              "      <td>-0</td>\n",
              "      <td>0</td>\n",
              "      <td>-0.00047</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
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              "          + ' to learn more about interactive tables.';\n",
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              "\n",
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              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
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              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
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              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
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              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
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              "    (() => {\n",
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              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "\n",
              "  <div id=\"id_7d8fc80d-a1c0-4a4c-8c6f-cac7da0b4aa0\">\n",
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              "        fill: #1967D2;\n",
              "        height: 32px;\n",
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              "        width: 32px;\n",
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              "\n",
              "      .colab-df-generate:hover {\n",
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              "        box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
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              "\n",
              "      [theme=dark] .colab-df-generate {\n",
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              "      [theme=dark] .colab-df-generate:hover {\n",
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              "      }\n",
              "    </style>\n",
              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('coef_matrix_lasso')\"\n",
              "            title=\"Generate code using this dataframe.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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\"samples\": [\n          -0.008788270171941585,\n          -0.00878827094317381,\n          -0.001191909132710785\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"coef_x_9\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": -0.0,\n        \"max\": 0.0041059341431223355,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          0.0021889590792181783,\n          0.0008494732635121587,\n          0.002188959207171395\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"coef_x_10\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": -0.0029518743404299045,\n        \"max\": -0.0,\n        \"num_unique_values\": 7,\n        \"samples\": [\n          -0.0007228802521565218,\n          -0.0007228804126653177,\n          -0.0029518743404299045\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"coef_x_11\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": -0.01903594065160902,\n        \"max\": 0.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          -0.0003319370498408516,\n          -0.00040532500800355523,\n          -0.0003319370404247819\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"coef_x_12\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": -0.00010451074969717404,\n        \"max\": 0.00023504747873874223,\n        \"num_unique_values\": 7,\n        \"samples\": [\n          0.00023504747873874223,\n          0.00023504745234822675,\n          -0.00010451074969717404\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"coef_x_13\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": -0.0013736060161198581,\n        \"max\": -0.0,\n        \"num_unique_values\": 9,\n        \"samples\": [\n          -0.0,\n          -0.00039466434635258916,\n          -0.00044354309718004273\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"coef_x_14\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": 0.0,\n        \"max\": 0.0001921936333602257,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          0.00018758259237406188,\n          0.00016444795575133833,\n          0.0001875825876898844\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"coef_x_15\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": -0.0004729332458524307,\n        \"max\": 0.001954975267182855,\n        \"num_unique_values\": 10,\n        \"samples\": [\n          -0.0,\n          -0.00019369633017839353,\n          -0.00017212482474928114\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "coef_matrix_lasso.apply(lambda x: sum(x.values==0),axis=1)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 398
        },
        "id": "eqIlm4BWw55O",
        "outputId": "7d10ca0f-4feb-454c-a0b7-92462a081cdc"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "alpha_1e-15      0\n",
              "alpha_1e-10      0\n",
              "alpha_1e-08      0\n",
              "alpha_1e-05      0\n",
              "alpha_0.0001     0\n",
              "alpha_0.001      0\n",
              "alpha_0.01       9\n",
              "alpha_1         13\n",
              "alpha_5         14\n",
              "alpha_10        14\n",
              "dtype: int64"
            ],
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
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              "        vertical-align: top;\n",
              "    }\n",
              "\n",
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              "        text-align: right;\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>0</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>alpha_1e-15</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>alpha_1e-10</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>alpha_1e-08</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>alpha_1e-05</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>alpha_0.0001</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>alpha_0.001</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>alpha_0.01</th>\n",
              "      <td>9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>alpha_1</th>\n",
              "      <td>13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>alpha_5</th>\n",
              "      <td>14</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>alpha_10</th>\n",
              "      <td>14</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div><br><label><b>dtype:</b> int64</label>"
            ]
          },
          "metadata": {},
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Comparação: Porque os coeficientes do Lasso ficam zerados?"
      ],
      "metadata": {
        "id": "Jyxu36mHyQTF"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "![ridge vs 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