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1
- 2023-08-02 14:12:27,447:WARNING:
2
- 'cuml' is a soft dependency and not included in the pycaret installation. Please run: `pip install cuml` to install.
3
- 2023-08-02 14:12:27,447:WARNING:
4
- 'cuml' is a soft dependency and not included in the pycaret installation. Please run: `pip install cuml` to install.
5
- 2023-08-02 14:12:27,447:WARNING:
6
- 'cuml' is a soft dependency and not included in the pycaret installation. Please run: `pip install cuml` to install.
7
- 2023-08-02 14:12:27,447:WARNING:
8
- 'cuml' is a soft dependency and not included in the pycaret installation. Please run: `pip install cuml` to install.
9
- 2023-08-02 14:12:59,595:WARNING:/Users/macbookpro/.pyenv/versions/3.9.16/lib/python3.9/site-packages/sklearn/base.py:493: FutureWarning: The feature names should match those that were passed during fit. Starting version 1.2, an error will be raised.
10
- Feature names unseen at fit time:
11
- - Unnamed: 0
12
- - default
13
-
14
- warnings.warn(message, FutureWarning)
15
-
16
- 2023-08-02 14:13:32,228:INFO:Initializing predict_model()
17
- 2023-08-02 14:13:32,228:INFO:predict_model(self=<pycaret.classification.oop.ClassificationExperiment object at 0x1780812b0>, estimator=Pipeline(memory=FastMemory(location=/var/folders/vh/81ldn_315vdf1b2_lnntkb080000gn/T/joblib),
18
- steps=[('combine',
19
- TransformerWrapper(transformer=TransformerWrapper(include=['ed'],
20
- transformer=Combine()))),
21
- ('remove outlier',
22
- TransformerWrapper(transformer=TransformerWrapper(transformer=RemoveOutliers(random_state=42)))),
23
- ('normalize',
24
- TransformerWrapper(transformer=TransformerWrapper(exclude=['ed',
25
- 'age'],
26
- transformer=RobustScaler()))),
27
- ('actual_estimator',
28
- LogisticRegression(C=8.956999999999999,
29
- class_weight='balanced', max_iter=1000,
30
- random_state=42))]), probability_threshold=None, encoded_labels=False, raw_score=False, round=4, verbose=True, ml_usecase=None, preprocess=True, encode_labels=<function _SupervisedExperiment.predict_model.<locals>.encode_labels at 0x178089430>)
31
- 2023-08-02 14:13:32,229:INFO:Checking exceptions
32
- 2023-08-02 14:13:32,229:INFO:Preloading libraries
33
- 2023-08-02 14:13:32,229:INFO:Set up data.
34
- 2023-08-02 14:13:32,236:INFO:Set up index.
35
- 2023-08-02 14:14:55,424:INFO:Initializing predict_model()
36
- 2023-08-02 14:14:55,424:INFO:predict_model(self=<pycaret.classification.oop.ClassificationExperiment object at 0x1780c2310>, estimator=Pipeline(memory=FastMemory(location=/var/folders/vh/81ldn_315vdf1b2_lnntkb080000gn/T/joblib),
37
- steps=[('combine',
38
- TransformerWrapper(transformer=TransformerWrapper(include=['ed'],
39
- transformer=Combine()))),
40
- ('remove outlier',
41
- TransformerWrapper(transformer=TransformerWrapper(transformer=RemoveOutliers(random_state=42)))),
42
- ('normalize',
43
- TransformerWrapper(transformer=TransformerWrapper(exclude=['ed',
44
- 'age'],
45
- transformer=RobustScaler()))),
46
- ('actual_estimator',
47
- LogisticRegression(C=8.956999999999999,
48
- class_weight='balanced', max_iter=1000,
49
- random_state=42))]), probability_threshold=None, encoded_labels=False, raw_score=False, round=4, verbose=True, ml_usecase=None, preprocess=True, encode_labels=<function _SupervisedExperiment.predict_model.<locals>.encode_labels at 0x1784c8940>)
50
- 2023-08-02 14:14:55,425:INFO:Checking exceptions
51
- 2023-08-02 14:14:55,425:INFO:Preloading libraries
52
- 2023-08-02 14:14:55,425:INFO:Set up data.
53
- 2023-08-02 14:14:55,430:INFO:Set up index.
54
- 2023-08-03 07:20:31,034:WARNING:
55
- 'cuml' is a soft dependency and not included in the pycaret installation. Please run: `pip install cuml` to install.
56
- 2023-08-03 07:20:31,035:WARNING:
57
- 'cuml' is a soft dependency and not included in the pycaret installation. Please run: `pip install cuml` to install.
58
- 2023-08-03 07:20:31,035:WARNING:
59
- 'cuml' is a soft dependency and not included in the pycaret installation. Please run: `pip install cuml` to install.
60
- 2023-08-03 07:20:31,035:WARNING:
61
- 'cuml' is a soft dependency and not included in the pycaret installation. Please run: `pip install cuml` to install.
62
- 2023-08-03 07:20:41,626:INFO:Initializing predict_model()
63
- 2023-08-03 07:20:41,626:INFO:predict_model(self=<pycaret.classification.oop.ClassificationExperiment object at 0x16da13e20>, estimator=Pipeline(memory=FastMemory(location=/var/folders/vh/81ldn_315vdf1b2_lnntkb080000gn/T/joblib),
64
- steps=[('combine',
65
- TransformerWrapper(transformer=TransformerWrapper(include=['ed'],
66
- transformer=Combine()))),
67
- ('remove outlier',
68
- TransformerWrapper(transformer=TransformerWrapper(transformer=RemoveOutliers(random_state=42)))),
69
- ('normalize',
70
- TransformerWrapper(transformer=TransformerWrapper(exclude=['ed',
71
- 'age'],
72
- transformer=RobustScaler()))),
73
- ('actual_estimator',
74
- LogisticRegression(C=8.956999999999999,
75
- class_weight='balanced', max_iter=1000,
76
- random_state=42))]), probability_threshold=None, encoded_labels=False, raw_score=False, round=4, verbose=True, ml_usecase=None, preprocess=True, encode_labels=<function _SupervisedExperiment.predict_model.<locals>.encode_labels at 0x17e0d9160>)
77
- 2023-08-03 07:20:41,626:INFO:Checking exceptions
78
- 2023-08-03 07:20:41,626:INFO:Preloading libraries
79
- 2023-08-03 07:20:41,629:INFO:Set up data.
80
- 2023-08-03 07:20:41,637:INFO:Set up index.
81
- 2023-08-03 07:21:17,448:INFO:Initializing predict_model()
82
- 2023-08-03 07:21:17,449:INFO:predict_model(self=<pycaret.classification.oop.ClassificationExperiment object at 0x16dab19d0>, estimator=Pipeline(memory=FastMemory(location=/var/folders/vh/81ldn_315vdf1b2_lnntkb080000gn/T/joblib),
83
- steps=[('combine',
84
- TransformerWrapper(transformer=TransformerWrapper(include=['ed'],
85
- transformer=Combine()))),
86
- ('remove outlier',
87
- TransformerWrapper(transformer=TransformerWrapper(transformer=RemoveOutliers(random_state=42)))),
88
- ('normalize',
89
- TransformerWrapper(transformer=TransformerWrapper(exclude=['ed',
90
- 'age'],
91
- transformer=RobustScaler()))),
92
- ('actual_estimator',
93
- LogisticRegression(C=8.956999999999999,
94
- class_weight='balanced', max_iter=1000,
95
- random_state=42))]), probability_threshold=None, encoded_labels=False, raw_score=False, round=4, verbose=True, ml_usecase=None, preprocess=True, encode_labels=<function _SupervisedExperiment.predict_model.<locals>.encode_labels at 0x17e0d9dc0>)
96
- 2023-08-03 07:21:17,449:INFO:Checking exceptions
97
- 2023-08-03 07:21:17,449:INFO:Preloading libraries
98
- 2023-08-03 07:21:17,449:INFO:Set up data.
99
- 2023-08-03 07:21:17,455:INFO:Set up index.
100
- 2023-08-03 07:22:14,797:INFO:Initializing predict_model()
101
- 2023-08-03 07:22:14,797:INFO:predict_model(self=<pycaret.classification.oop.ClassificationExperiment object at 0x16da4d670>, estimator=Pipeline(memory=FastMemory(location=/var/folders/vh/81ldn_315vdf1b2_lnntkb080000gn/T/joblib),
102
- steps=[('combine',
103
- TransformerWrapper(transformer=TransformerWrapper(include=['ed'],
104
- transformer=Combine()))),
105
- ('remove outlier',
106
- TransformerWrapper(transformer=TransformerWrapper(transformer=RemoveOutliers(random_state=42)))),
107
- ('normalize',
108
- TransformerWrapper(transformer=TransformerWrapper(exclude=['ed',
109
- 'age'],
110
- transformer=RobustScaler()))),
111
- ('actual_estimator',
112
- LogisticRegression(C=8.956999999999999,
113
- class_weight='balanced', max_iter=1000,
114
- random_state=42))]), probability_threshold=None, encoded_labels=False, raw_score=False, round=4, verbose=True, ml_usecase=None, preprocess=True, encode_labels=<function _SupervisedExperiment.predict_model.<locals>.encode_labels at 0x16e275a60>)
115
- 2023-08-03 07:22:14,797:INFO:Checking exceptions
116
- 2023-08-03 07:22:14,797:INFO:Preloading libraries
117
- 2023-08-03 07:22:14,798:INFO:Set up data.
118
- 2023-08-03 07:22:14,801:INFO:Set up index.
119
- 2023-08-03 10:58:46,504:WARNING:
120
- 'cuml' is a soft dependency and not included in the pycaret installation. Please run: `pip install cuml` to install.
121
- 2023-08-03 10:58:46,505:WARNING:
122
- 'cuml' is a soft dependency and not included in the pycaret installation. Please run: `pip install cuml` to install.
123
- 2023-08-03 10:58:46,505:WARNING:
124
- 'cuml' is a soft dependency and not included in the pycaret installation. Please run: `pip install cuml` to install.
125
- 2023-08-03 10:58:46,505:WARNING:
126
- 'cuml' is a soft dependency and not included in the pycaret installation. Please run: `pip install cuml` to install.
127
- 2023-08-03 10:58:55,777:WARNING:/Users/macbookpro/.pyenv/versions/3.9.16/lib/python3.9/site-packages/sklearn/base.py:493: FutureWarning: The feature names should match those that were passed during fit. Starting version 1.2, an error will be raised.
128
- Feature names unseen at fit time:
129
- - Unnamed: 0
130
-
131
- warnings.warn(message, FutureWarning)
132
-
133
- 2023-08-03 10:59:21,797:WARNING:
134
- 'cuml' is a soft dependency and not included in the pycaret installation. Please run: `pip install cuml` to install.
135
- 2023-08-03 10:59:21,797:WARNING:
136
- 'cuml' is a soft dependency and not included in the pycaret installation. Please run: `pip install cuml` to install.
137
- 2023-08-03 10:59:21,797:WARNING:
138
- 'cuml' is a soft dependency and not included in the pycaret installation. Please run: `pip install cuml` to install.
139
- 2023-08-03 10:59:21,797:WARNING:
140
- 'cuml' is a soft dependency and not included in the pycaret installation. Please run: `pip install cuml` to install.
141
- 2023-08-03 10:59:29,378:INFO:Initializing predict_model()
142
- 2023-08-03 10:59:29,379:INFO:predict_model(self=<pycaret.classification.oop.ClassificationExperiment object at 0x15f564c70>, estimator=Pipeline(memory=FastMemory(location=/var/folders/vh/81ldn_315vdf1b2_lnntkb080000gn/T/joblib),
143
- steps=[('combine',
144
- TransformerWrapper(transformer=TransformerWrapper(include=['ed'],
145
- transformer=Combine()))),
146
- ('remove outlier',
147
- TransformerWrapper(transformer=TransformerWrapper(transformer=RemoveOutliers(random_state=42)))),
148
- ('normalize',
149
- TransformerWrapper(transformer=TransformerWrapper(exclude=['ed',
150
- 'age'],
151
- transformer=RobustScaler()))),
152
- ('actual_estimator',
153
- LogisticRegression(C=8.956999999999999,
154
- class_weight='balanced', max_iter=1000,
155
- random_state=42))]), probability_threshold=None, encoded_labels=False, raw_score=False, round=4, verbose=True, ml_usecase=None, preprocess=True, encode_labels=<function _SupervisedExperiment.predict_model.<locals>.encode_labels at 0x15f4a9280>)
156
- 2023-08-03 10:59:29,379:INFO:Checking exceptions
157
- 2023-08-03 10:59:29,379:INFO:Preloading libraries
158
- 2023-08-03 10:59:29,379:INFO:Set up data.
159
- 2023-08-03 10:59:29,386:INFO:Set up index.
160
- 2023-08-04 07:20:45,982:WARNING:
161
- 'cuml' is a soft dependency and not included in the pycaret installation. Please run: `pip install cuml` to install.
162
- 2023-08-04 07:20:45,982:WARNING:
163
- 'cuml' is a soft dependency and not included in the pycaret installation. Please run: `pip install cuml` to install.
164
- 2023-08-04 07:20:45,982:WARNING:
165
- 'cuml' is a soft dependency and not included in the pycaret installation. Please run: `pip install cuml` to install.
166
- 2023-08-04 07:20:45,982:WARNING:
167
- 'cuml' is a soft dependency and not included in the pycaret installation. Please run: `pip install cuml` to install.
168
- 2023-08-04 07:20:53,862:INFO:Initializing predict_model()
169
- 2023-08-04 07:20:53,862:INFO:predict_model(self=<pycaret.classification.oop.ClassificationExperiment object at 0x28219fd00>, estimator=Pipeline(memory=FastMemory(location=/var/folders/vh/81ldn_315vdf1b2_lnntkb080000gn/T/joblib),
170
- steps=[('combine',
171
- TransformerWrapper(transformer=TransformerWrapper(include=['ed'],
172
- transformer=Combine()))),
173
- ('remove outlier',
174
- TransformerWrapper(transformer=TransformerWrapper(transformer=RemoveOutliers(random_state=42)))),
175
- ('normalize',
176
- TransformerWrapper(transformer=TransformerWrapper(exclude=['ed',
177
- 'age'],
178
- transformer=RobustScaler()))),
179
- ('actual_estimator',
180
- LogisticRegression(C=8.956999999999999,
181
- class_weight='balanced', max_iter=1000,
182
- random_state=42))]), probability_threshold=None, encoded_labels=False, raw_score=False, round=4, verbose=True, ml_usecase=None, preprocess=True, encode_labels=<function _SupervisedExperiment.predict_model.<locals>.encode_labels at 0x282183310>)
183
- 2023-08-04 07:20:53,862:INFO:Checking exceptions
184
- 2023-08-04 07:20:53,862:INFO:Preloading libraries
185
- 2023-08-04 07:20:53,864:INFO:Set up data.
186
- 2023-08-04 07:20:53,873:INFO:Set up index.
187
- 2023-08-04 07:22:16,503:WARNING:
188
- 'cuml' is a soft dependency and not included in the pycaret installation. Please run: `pip install cuml` to install.
189
- 2023-08-04 07:22:16,503:WARNING:
190
- 'cuml' is a soft dependency and not included in the pycaret installation. Please run: `pip install cuml` to install.
191
- 2023-08-04 07:22:16,503:WARNING:
192
- 'cuml' is a soft dependency and not included in the pycaret installation. Please run: `pip install cuml` to install.
193
- 2023-08-04 07:22:16,503:WARNING:
194
- 'cuml' is a soft dependency and not included in the pycaret installation. Please run: `pip install cuml` to install.
195
- 2023-08-04 07:23:22,156:INFO:Initializing predict_model()
196
- 2023-08-04 07:23:22,157:INFO:predict_model(self=<pycaret.classification.oop.ClassificationExperiment object at 0x1715802e0>, estimator=Pipeline(memory=FastMemory(location=/var/folders/vh/81ldn_315vdf1b2_lnntkb080000gn/T/joblib),
197
- steps=[('combine',
198
- TransformerWrapper(transformer=TransformerWrapper(include=['ed'],
199
- transformer=Combine()))),
200
- ('remove outlier',
201
- TransformerWrapper(transformer=TransformerWrapper(transformer=RemoveOutliers(random_state=42)))),
202
- ('normalize',
203
- TransformerWrapper(transformer=TransformerWrapper(exclude=['ed',
204
- 'age'],
205
- transformer=RobustScaler()))),
206
- ('actual_estimator',
207
- LogisticRegression(C=8.956999999999999,
208
- class_weight='balanced', max_iter=1000,
209
- random_state=42))]), probability_threshold=None, encoded_labels=False, raw_score=False, round=4, verbose=True, ml_usecase=None, preprocess=True, encode_labels=<function _SupervisedExperiment.predict_model.<locals>.encode_labels at 0x171536dc0>)
210
- 2023-08-04 07:23:22,157:INFO:Checking exceptions
211
- 2023-08-04 07:23:22,157:INFO:Preloading libraries
212
- 2023-08-04 07:23:22,159:INFO:Set up data.
213
- 2023-08-04 07:23:22,167:INFO:Set up index.
214
- 2023-08-04 07:30:25,503:WARNING:
215
- 'cuml' is a soft dependency and not included in the pycaret installation. Please run: `pip install cuml` to install.
216
- 2023-08-04 07:30:25,503:WARNING:
217
- 'cuml' is a soft dependency and not included in the pycaret installation. Please run: `pip install cuml` to install.
218
- 2023-08-04 07:30:25,503:WARNING:
219
- 'cuml' is a soft dependency and not included in the pycaret installation. Please run: `pip install cuml` to install.
220
- 2023-08-04 07:30:25,503:WARNING:
221
- 'cuml' is a soft dependency and not included in the pycaret installation. Please run: `pip install cuml` to install.
222
- 2023-08-04 07:30:33,393:INFO:Initializing predict_model()
223
- 2023-08-04 07:30:33,393:INFO:predict_model(self=<pycaret.classification.oop.ClassificationExperiment object at 0x2847f71c0>, estimator=Pipeline(memory=FastMemory(location=/var/folders/vh/81ldn_315vdf1b2_lnntkb080000gn/T/joblib),
224
- steps=[('combine',
225
- TransformerWrapper(transformer=TransformerWrapper(include=['ed'],
226
- transformer=Combine()))),
227
- ('remove outlier',
228
- TransformerWrapper(transformer=TransformerWrapper(transformer=RemoveOutliers(random_state=42)))),
229
- ('normalize',
230
- TransformerWrapper(transformer=TransformerWrapper(exclude=['ed',
231
- 'age'],
232
- transformer=RobustScaler()))),
233
- ('actual_estimator',
234
- LogisticRegression(C=8.956999999999999,
235
- class_weight='balanced', max_iter=1000,
236
- random_state=42))]), probability_threshold=None, encoded_labels=False, raw_score=False, round=4, verbose=True, ml_usecase=None, preprocess=True, encode_labels=<function _SupervisedExperiment.predict_model.<locals>.encode_labels at 0x2847c2550>)
237
- 2023-08-04 07:30:33,393:INFO:Checking exceptions
238
- 2023-08-04 07:30:33,393:INFO:Preloading libraries
239
- 2023-08-04 07:30:33,395:INFO:Set up data.
240
- 2023-08-04 07:30:33,403:INFO:Set up index.
241
- 2023-08-08 22:18:02,376:WARNING:
242
- 'cuml' is a soft dependency and not included in the pycaret installation. Please run: `pip install cuml` to install.
243
- 2023-08-08 22:18:02,376:WARNING:
244
- 'cuml' is a soft dependency and not included in the pycaret installation. Please run: `pip install cuml` to install.
245
- 2023-08-08 22:18:02,376:WARNING:
246
- 'cuml' is a soft dependency and not included in the pycaret installation. Please run: `pip install cuml` to install.
247
- 2023-08-08 22:18:02,376:WARNING:
248
- 'cuml' is a soft dependency and not included in the pycaret installation. Please run: `pip install cuml` to install.
249
- 2023-08-08 22:26:27,519:INFO:Initializing predict_model()
250
- 2023-08-08 22:26:27,519:INFO:predict_model(self=<pycaret.classification.oop.ClassificationExperiment object at 0x285b30f70>, estimator=Pipeline(memory=FastMemory(location=/var/folders/vh/81ldn_315vdf1b2_lnntkb080000gn/T/joblib),
251
- steps=[('combine',
252
- TransformerWrapper(transformer=TransformerWrapper(include=['ed'],
253
- transformer=Combine()))),
254
- ('remove outlier',
255
- TransformerWrapper(transformer=TransformerWrapper(transformer=RemoveOutliers(random_state=42)))),
256
- ('normalize',
257
- TransformerWrapper(transformer=TransformerWrapper(exclude=['ed',
258
- 'age'],
259
- transformer=RobustScaler()))),
260
- ('actual_estimator',
261
- LogisticRegression(C=8.956999999999999,
262
- class_weight='balanced', max_iter=1000,
263
- random_state=42))]), probability_threshold=None, encoded_labels=False, raw_score=False, round=4, verbose=True, ml_usecase=None, preprocess=True, encode_labels=<function _SupervisedExperiment.predict_model.<locals>.encode_labels at 0x2857929d0>)
264
- 2023-08-08 22:26:27,519:INFO:Checking exceptions
265
- 2023-08-08 22:26:27,519:INFO:Preloading libraries
266
- 2023-08-08 22:26:27,522:INFO:Set up data.
267
- 2023-08-08 22:26:27,534:INFO:Set up index.
268
- 2023-08-08 22:27:05,991:INFO:Initializing predict_model()
269
- 2023-08-08 22:27:05,992:INFO:predict_model(self=<pycaret.classification.oop.ClassificationExperiment object at 0x16e1b5100>, estimator=Pipeline(memory=FastMemory(location=/var/folders/vh/81ldn_315vdf1b2_lnntkb080000gn/T/joblib),
270
- steps=[('combine',
271
- TransformerWrapper(transformer=TransformerWrapper(include=['ed'],
272
- transformer=Combine()))),
273
- ('remove outlier',
274
- TransformerWrapper(transformer=TransformerWrapper(transformer=RemoveOutliers(random_state=42)))),
275
- ('normalize',
276
- TransformerWrapper(transformer=TransformerWrapper(exclude=['ed',
277
- 'age'],
278
- transformer=RobustScaler()))),
279
- ('actual_estimator',
280
- LogisticRegression(C=8.956999999999999,
281
- class_weight='balanced', max_iter=1000,
282
- random_state=42))]), probability_threshold=None, encoded_labels=False, raw_score=False, round=4, verbose=True, ml_usecase=None, preprocess=True, encode_labels=<function _SupervisedExperiment.predict_model.<locals>.encode_labels at 0x16e1c3550>)
283
- 2023-08-08 22:27:05,992:INFO:Checking exceptions
284
- 2023-08-08 22:27:05,992:INFO:Preloading libraries
285
- 2023-08-08 22:27:05,992:INFO:Set up data.
286
- 2023-08-08 22:27:05,998:INFO:Set up index.
287
- 2023-08-08 22:45:35,556:WARNING:
288
- 'cuml' is a soft dependency and not included in the pycaret installation. Please run: `pip install cuml` to install.
289
- 2023-08-08 22:45:35,556:WARNING:
290
- 'cuml' is a soft dependency and not included in the pycaret installation. Please run: `pip install cuml` to install.
291
- 2023-08-08 22:45:35,556:WARNING:
292
- 'cuml' is a soft dependency and not included in the pycaret installation. Please run: `pip install cuml` to install.
293
- 2023-08-08 22:45:35,556:WARNING:
294
- 'cuml' is a soft dependency and not included in the pycaret installation. Please run: `pip install cuml` to install.
295
- 2023-08-08 22:45:36,129:INFO:Initializing load_model()
296
- 2023-08-08 22:45:36,129:INFO:load_model(model_name=model, platform=None, authentication=None, verbose=True)
297
- 2023-08-08 22:45:39,904:INFO:Initializing load_model()
298
- 2023-08-08 22:45:39,905:INFO:load_model(model_name=model, platform=None, authentication=None, verbose=True)
299
- 2023-08-08 22:45:39,951:INFO:Initializing predict_model()
300
- 2023-08-08 22:45:39,951:INFO:predict_model(self=<pycaret.classification.oop.ClassificationExperiment object at 0x281b923d0>, estimator=Pipeline(memory=FastMemory(location=/var/folders/vh/81ldn_315vdf1b2_lnntkb080000gn/T/joblib),
301
- steps=[('combine',
302
- TransformerWrapper(transformer=TransformerWrapper(include=['ed'],
303
- transformer=Combine()))),
304
- ('remove outlier',
305
- TransformerWrapper(transformer=TransformerWrapper(transformer=RemoveOutliers(random_state=42)))),
306
- ('normalize',
307
- TransformerWrapper(transformer=TransformerWrapper(exclude=['ed',
308
- 'age'],
309
- transformer=RobustScaler()))),
310
- ('actual_estimator',
311
- LogisticRegression(C=8.956999999999999,
312
- class_weight='balanced', max_iter=1000,
313
- random_state=42))]), probability_threshold=None, encoded_labels=False, raw_score=False, round=4, verbose=True, ml_usecase=None, preprocess=True, encode_labels=<function _SupervisedExperiment.predict_model.<locals>.encode_labels at 0x281bb7f70>)
314
- 2023-08-08 22:45:39,952:INFO:Checking exceptions
315
- 2023-08-08 22:45:39,952:INFO:Preloading libraries
316
- 2023-08-08 22:45:39,954:INFO:Set up data.
317
- 2023-08-08 22:45:39,960:INFO:Set up index.
318
- 2023-08-08 22:46:02,637:INFO:Initializing load_model()
319
- 2023-08-08 22:46:02,638:INFO:load_model(model_name=model, platform=None, authentication=None, verbose=True)
320
- 2023-08-08 22:46:05,250:INFO:Initializing load_model()
321
- 2023-08-08 22:46:05,250:INFO:load_model(model_name=model, platform=None, authentication=None, verbose=True)
322
- 2023-08-08 22:46:05,281:INFO:Initializing predict_model()
323
- 2023-08-08 22:46:05,281:INFO:predict_model(self=<pycaret.classification.oop.ClassificationExperiment object at 0x133e7d250>, estimator=Pipeline(memory=FastMemory(location=/var/folders/vh/81ldn_315vdf1b2_lnntkb080000gn/T/joblib),
324
- steps=[('combine',
325
- TransformerWrapper(transformer=TransformerWrapper(include=['ed'],
326
- transformer=Combine()))),
327
- ('remove outlier',
328
- TransformerWrapper(transformer=TransformerWrapper(transformer=RemoveOutliers(random_state=42)))),
329
- ('normalize',
330
- TransformerWrapper(transformer=TransformerWrapper(exclude=['ed',
331
- 'age'],
332
- transformer=RobustScaler()))),
333
- ('actual_estimator',
334
- LogisticRegression(C=8.956999999999999,
335
- class_weight='balanced', max_iter=1000,
336
- random_state=42))]), probability_threshold=None, encoded_labels=False, raw_score=False, round=4, verbose=True, ml_usecase=None, preprocess=True, encode_labels=<function _SupervisedExperiment.predict_model.<locals>.encode_labels at 0x133e57ca0>)
337
- 2023-08-08 22:46:05,281:INFO:Checking exceptions
338
- 2023-08-08 22:46:05,281:INFO:Preloading libraries
339
- 2023-08-08 22:46:05,282:INFO:Set up data.
340
- 2023-08-08 22:46:05,286:INFO:Set up index.
341
- 2023-08-09 11:50:35,699:WARNING:
342
- 'cuml' is a soft dependency and not included in the pycaret installation. Please run: `pip install cuml` to install.
343
- 2023-08-09 11:50:35,699:WARNING:
344
- 'cuml' is a soft dependency and not included in the pycaret installation. Please run: `pip install cuml` to install.
345
- 2023-08-09 11:50:35,699:WARNING:
346
- 'cuml' is a soft dependency and not included in the pycaret installation. Please run: `pip install cuml` to install.
347
- 2023-08-09 11:50:35,699:WARNING:
348
- 'cuml' is a soft dependency and not included in the pycaret installation. Please run: `pip install cuml` to install.
349
- 2023-08-09 11:50:36,267:INFO:Initializing load_model()
350
- 2023-08-09 11:50:36,267:INFO:load_model(model_name=model, platform=None, authentication=None, verbose=True)
351
- 2023-08-09 11:57:39,125:INFO:Initializing load_model()
352
- 2023-08-09 11:57:39,127:INFO:load_model(model_name=model, platform=None, authentication=None, verbose=True)
353
- 2023-08-09 11:57:39,226:WARNING:/Users/macbookpro/.pyenv/versions/3.9.16/lib/python3.9/site-packages/sklearn/base.py:493: FutureWarning: The feature names should match those that were passed during fit. Starting version 1.2, an error will be raised.
354
- Feature names unseen at fit time:
355
- - Unnamed: 0
356
-
357
- warnings.warn(message, FutureWarning)
358
-
359
- 2023-08-09 13:23:42,768:WARNING:
360
- 'cuml' is a soft dependency and not included in the pycaret installation. Please run: `pip install cuml` to install.
361
- 2023-08-09 13:23:42,769:WARNING:
362
- 'cuml' is a soft dependency and not included in the pycaret installation. Please run: `pip install cuml` to install.
363
- 2023-08-09 13:23:42,769:WARNING:
364
- 'cuml' is a soft dependency and not included in the pycaret installation. Please run: `pip install cuml` to install.
365
- 2023-08-09 13:23:42,769:WARNING:
366
- 'cuml' is a soft dependency and not included in the pycaret installation. Please run: `pip install cuml` to install.
367
- 2023-08-09 13:23:43,346:INFO:Initializing load_model()
368
- 2023-08-09 13:23:43,347:INFO:load_model(model_name=model, platform=None, authentication=None, verbose=True)
369
- 2023-08-09 13:23:48,047:INFO:Initializing load_model()
370
- 2023-08-09 13:23:48,048:INFO:load_model(model_name=model, platform=None, authentication=None, verbose=True)
371
- 2023-08-09 13:23:48,200:WARNING:/Users/macbookpro/.pyenv/versions/3.9.16/lib/python3.9/site-packages/sklearn/base.py:493: FutureWarning: The feature names should match those that were passed during fit. Starting version 1.2, an error will be raised.
372
- Feature names unseen at fit time:
373
- - Unnamed: 0
374
-
375
- warnings.warn(message, FutureWarning)
376
-
377
- 2023-08-09 13:24:02,865:INFO:Initializing load_model()
378
- 2023-08-09 13:24:02,866:INFO:load_model(model_name=model, platform=None, authentication=None, verbose=True)
379
- 2023-08-09 13:24:08,907:INFO:Initializing load_model()
380
- 2023-08-09 13:24:08,908:INFO:load_model(model_name=model, platform=None, authentication=None, verbose=True)
381
- 2023-08-09 13:24:08,996:WARNING:/Users/macbookpro/.pyenv/versions/3.9.16/lib/python3.9/site-packages/sklearn/base.py:493: FutureWarning: The feature names should match those that were passed during fit. Starting version 1.2, an error will be raised.
382
- Feature names unseen at fit time:
383
- - Unnamed: 0
384
-
385
- warnings.warn(message, FutureWarning)
386
-
387
- 2023-08-09 13:24:18,518:INFO:Initializing load_model()
388
- 2023-08-09 13:24:18,519:INFO:load_model(model_name=model, platform=None, authentication=None, verbose=True)
389
- 2023-08-09 13:24:18,606:WARNING:/Users/macbookpro/.pyenv/versions/3.9.16/lib/python3.9/site-packages/sklearn/base.py:493: FutureWarning: The feature names should match those that were passed during fit. Starting version 1.2, an error will be raised.
390
- Feature names unseen at fit time:
391
- - Unnamed: 0
392
-
393
- warnings.warn(message, FutureWarning)
394
-
395
- 2023-08-09 13:24:22,089:INFO:Initializing load_model()
396
- 2023-08-09 13:24:22,089:INFO:load_model(model_name=model, platform=None, authentication=None, verbose=True)
397
- 2023-08-09 13:24:22,180:WARNING:/Users/macbookpro/.pyenv/versions/3.9.16/lib/python3.9/site-packages/sklearn/base.py:493: FutureWarning: The feature names should match those that were passed during fit. Starting version 1.2, an error will be raised.
398
- Feature names unseen at fit time:
399
- - Unnamed: 0
400
-
401
- warnings.warn(message, FutureWarning)
402
-
403
- 2023-08-09 13:24:25,303:INFO:Initializing load_model()
404
- 2023-08-09 13:24:25,303:INFO:load_model(model_name=model, platform=None, authentication=None, verbose=True)
405
- 2023-08-09 13:24:25,328:INFO:Initializing load_model()
406
- 2023-08-09 13:24:25,328:INFO:load_model(model_name=model, platform=None, authentication=None, verbose=True)
407
- 2023-08-09 13:24:25,467:WARNING:/Users/macbookpro/.pyenv/versions/3.9.16/lib/python3.9/site-packages/sklearn/base.py:493: FutureWarning: The feature names should match those that were passed during fit. Starting version 1.2, an error will be raised.
408
- Feature names unseen at fit time:
409
- - Unnamed: 0
410
-
411
- warnings.warn(message, FutureWarning)
412
-
413
- 2023-08-09 13:24:46,666:INFO:Initializing load_model()
414
- 2023-08-09 13:24:46,667:INFO:load_model(model_name=model, platform=None, authentication=None, verbose=True)
415
- 2023-08-09 13:24:46,767:WARNING:/Users/macbookpro/.pyenv/versions/3.9.16/lib/python3.9/site-packages/sklearn/base.py:493: FutureWarning: The feature names should match those that were passed during fit. Starting version 1.2, an error will be raised.
416
- Feature names unseen at fit time:
417
- - Unnamed: 0
418
- - default
419
-
420
- warnings.warn(message, FutureWarning)
421
-
422
- 2023-08-09 13:24:49,282:INFO:Initializing load_model()
423
- 2023-08-09 13:24:49,282:INFO:load_model(model_name=model, platform=None, authentication=None, verbose=True)
424
- 2023-08-09 13:24:49,312:INFO:Initializing load_model()
425
- 2023-08-09 13:24:49,371:INFO:load_model(model_name=model, platform=None, authentication=None, verbose=True)
426
- 2023-08-09 13:24:49,447:WARNING:/Users/macbookpro/.pyenv/versions/3.9.16/lib/python3.9/site-packages/sklearn/base.py:493: FutureWarning: The feature names should match those that were passed during fit. Starting version 1.2, an error will be raised.
427
- Feature names unseen at fit time:
428
- - Unnamed: 0
429
- - default
430
-
431
- warnings.warn(message, FutureWarning)
432
-
433
- 2023-08-09 13:24:51,850:INFO:Initializing load_model()
434
- 2023-08-09 13:24:51,851:INFO:load_model(model_name=model, platform=None, authentication=None, verbose=True)
435
- 2023-08-09 13:24:54,740:INFO:Initializing load_model()
436
- 2023-08-09 13:24:54,741:INFO:load_model(model_name=model, platform=None, authentication=None, verbose=True)
437
- 2023-08-09 13:24:54,819:WARNING:/Users/macbookpro/.pyenv/versions/3.9.16/lib/python3.9/site-packages/sklearn/base.py:493: FutureWarning: The feature names should match those that were passed during fit. Starting version 1.2, an error will be raised.
438
- Feature names unseen at fit time:
439
- - Unnamed: 0
440
- - default
441
-
442
- warnings.warn(message, FutureWarning)
443
-
444
- 2023-08-09 13:25:06,993:INFO:Initializing load_model()
445
- 2023-08-09 13:25:06,993:INFO:load_model(model_name=model, platform=None, authentication=None, verbose=True)
446
- 2023-08-09 13:25:12,986:INFO:Initializing load_model()
447
- 2023-08-09 13:25:12,987:INFO:load_model(model_name=model, platform=None, authentication=None, verbose=True)
448
- 2023-08-09 13:26:09,546:INFO:Initializing load_model()
449
- 2023-08-09 13:26:09,547:INFO:load_model(model_name=model, platform=None, authentication=None, verbose=True)
450
- 2023-08-09 13:26:12,129:INFO:Initializing load_model()
451
- 2023-08-09 13:26:12,130:INFO:load_model(model_name=model, platform=None, authentication=None, verbose=True)
452
- 2023-08-09 14:08:43,175:WARNING:
453
- 'cuml' is a soft dependency and not included in the pycaret installation. Please run: `pip install cuml` to install.
454
- 2023-08-09 14:08:43,175:WARNING:
455
- 'cuml' is a soft dependency and not included in the pycaret installation. Please run: `pip install cuml` to install.
456
- 2023-08-09 14:08:43,175:WARNING:
457
- 'cuml' is a soft dependency and not included in the pycaret installation. Please run: `pip install cuml` to install.
458
- 2023-08-09 14:08:43,175:WARNING:
459
- 'cuml' is a soft dependency and not included in the pycaret installation. Please run: `pip install cuml` to install.