# Step 1: Spliting Training and Test Sets
training_set, test_set = train_test_split(UKB, test_size=0.3, stratify=True, random_seed=42)
# Step 2 (Outer Loop): Hyperparameter optimization with 20 iterations
for i in 20:
hyperparameters = ChooseHyperParameters(...)
| ,ข้อมูลอัปเดต เมื่อ 01/04/2020 18:25 | |
| จำนวนคนที่ถูกตรวจและมีผลบวกเพิ่มเติม,120 | |
| จำนวนผู้ป่วยที่เสียชีวิตในวันนี้,2 |
| { | |
| "nbformat": 4, | |
| "nbformat_minor": 0, | |
| "metadata": { | |
| "colab": { | |
| "name": "Stats-W6-Hypothesis-Testing", | |
| "provenance": [], | |
| "collapsed_sections": [] | |
| }, | |
| "kernelspec": { |
M=01::beta=1e-03::strategy=oneshot 5 M=01::beta=1e-03::strategy=seq/d:10|e:1 5 M=01::beta=1e-03::strategy=seq/d:20|e:1 5 M=01::beta=1e-03::strategy=seq/d:5|e:1 5 M=03::beta=1e-03::strategy=oneshot 5 M=03::beta=1e-03::strategy=seq/d:10|e:1 5 M=03::beta=1e-03::strategy=seq/d:20|e:1 5 M=03::beta=1e-03::strategy=seq/d:5|e:1 5
M=01::beta=1e-03::strategy=oneshot 5 M=01::beta=1e-03::strategy=seq/d:10|e:1 5 M=01::beta=1e-03::strategy=seq/d:20|e:1 5 M=01::beta=1e-03::strategy=seq/d:5|e:1 5 M=03::beta=1e-03::strategy=oneshot 5 M=03::beta=1e-03::strategy=seq/d:10|e:1 5 M=03::beta=1e-03::strategy=seq/d:20|e:1 5 M=03::beta=1e-03::strategy=seq/d:5|e:1 5