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| 0.00283329 | |
| 0 |
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| import jubatus | |
| from jubatus.common import Datum | |
| import random | |
| import time | |
| cl = jubatus.Anomaly("localhost", 9199, "test", 0) | |
| random.seed(1) | |
| datum_list = [] | |
| datum_length = 100 |
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| -*- coding:utf-8 -*- | |
| import jubatus | |
| from jubatus.common import Datum | |
| import random | |
| import time | |
| cl = jubatus.Anomaly("localhost", 9199, "test", 0) | |
| cl.clear() |
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| Hi, Jubatus guys. | |
| We are glad to announce that Jubatus 1.0.6 is now available. | |
| This release contains the following feature improvements and bug fixes. | |
| * Recommender: Add new APIs which return similar points using a filtering condition. similar_row_from_{id,datum}_and_score returns points which have greater similarity score than user specified score. similar_row_from_{id,datum}_and_rate returns points which have N% highest similarity score of all. Note that updating clients library is necessary to use these APIs. | |
| * Fix the problem that build fails on macOS High Sierra. | |
| * Jubakit: Drop support for python 2.6. |
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| { | |
| "converter" : { | |
| "string_filter_types": {}, | |
| "string_filter_rules":[], | |
| "num_filter_types": {}, | |
| "num_filter_rules": [], | |
| "string_types": {}, | |
| "string_rules":[ | |
| {"key" : "*", "type" : "str", "sample_weight":"bin", "global_weight" : "bin"} | |
| ], |
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| import subprocess | |
| import time | |
| import jubatus | |
| from jubatus.common import Datum | |
| cmd = "jubaanomaly" | |
| juba = subprocess.Popen([cmd, "-f", "light_lof.json"]) | |
| time.sleep(5) |
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| OutOfData Traceback (most recent call last) | |
| <ipython-input-3-d4cacf0e18b0> in <module>() | |
| 18 m = JubaModel() | |
| 19 m = m.load_binary(open("/tmp/127.0.0.1_29179_classifier_iris.jubatus", "rb")) | |
| ---> 20 m = m.transform("nearest_neighbor") | |
| 21 # Stop the classifier. | |
| 22 classifier.stop() | |
| /home/udagawa/work/jubakit/jubakit/jubakit/model.py in transform(self, service) | |
| 261 else: |
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| import random | |
| import time | |
| import jubatus | |
| from jubatus.common import Datum | |
| def generate_data(num = 10, mu = 1.0, sigma = 1.0): | |
| res = [] | |
| for i in range(num): | |
| x = random.gauss(mu, sigma) |
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| test: inverted_index_test.cpp | |
| g++ -O2 -o test inverted_index_test.cpp `pkg-config jubatus-client --libs --cflags jubatus jubatus_core` |
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| from jubatus.common import Datum | |
| from jubatus.regression.client import Regression | |
| import sys | |
| import math | |
| def read_file(filename): | |
| with open(filename) as f: | |
| return f.readlines() | |
| def make_datum(line): |
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