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# Now its time to train the model!
axgb = AutoXGB(
train_filename=train_filename,
output=output,
test_filename=test_filename,
task=task,
idx=idx,
targets=targets,
features=features,
categorical_features=categorical_features,
use_gpu=use_gpu,
num_folds=num_folds,
seed=seed,
num_trials=num_trials,
time_limit=time_limit,
fast=fast,
)
axgb.train()
log:
2023-08-04 14:31:55.744 | INFO | autoxgb.autoxgb:__post_init__:42 - Output directory: output3
2023-08-04 14:31:55.744 | INFO | autoxgb.autoxgb:_process_data:149 - Reading training data
2023-08-04 14:31:55.765 | INFO | autoxgb.utils:reduce_memory_usage:48 - Mem. usage decreased to 0.79 Mb (37.5% reduction)
2023-08-04 14:31:55.767 | INFO | autoxgb.autoxgb:_determine_problem_type:140 - Problem type: multi_label_classification
2023-08-04 14:31:55.767 | INFO | autoxgb.autoxgb:_create_folds:58 - Creating folds
2023-08-04 14:31:55.772 | INFO | autoxgb.autoxgb:_process_data:195 - Found 18 categorical features.
2023-08-04 14:31:55.772 | INFO | autoxgb.autoxgb:_process_data:198 - Encoding categorical features
2023-08-04 14:31:55.924 | INFO | autoxgb.autoxgb:_process_data:236 - Model config: train_filename='/data_16t/hongziwen/autoxgb-main/data_samples/multi_label_classification.csv' test_filename=None idx='id' targets=['service_a', 'service_b'] problem_type=<ProblemType.multi_label_classification: 3> output='output3' features=['release', 'n_0047', 'n_0050', 'n_0052', 'n_0061', 'n_0067', 'n_0075', 'n_0078', 'n_0091', 'n_0108', 'n_0109', 'o_0176', 'o_0264', 'c_0466', 'c_0500', 'c_0638', 'c_0699', 'c_0738', 'c_0761', 'c_0770', 'c_0838', 'c_0870', 'c_0980', 'c_1145', 'c_1158', 'c_1189', 'c_1223', 'c_1227', 'c_1244', 'c_1259'] num_folds=5 use_gpu=True seed=42 categorical_features=['release', 'c_0466', 'c_0500', 'c_0638', 'c_0699', 'c_0738', 'c_0761', 'c_0770', 'c_0838', 'c_0870', 'c_0980', 'c_1145', 'c_1158', 'c_1189', 'c_1223', 'c_1227', 'c_1244', 'c_1259'] num_trials=100 time_limit=360 fast=False
2023-08-04 14:31:55.924 | INFO | autoxgb.autoxgb:_process_data:237 - Saving model config
2023-08-04 14:31:55.925 | INFO | autoxgb.autoxgb:_process_data:241 - Saving encoders
error
Exception has occurred: AssertionError
exception: no description
File "/data_16t//autoxgb-main/examples/multi_label_classification.py", line 39, in <module>
axgb.train()
AssertionError:
I reproduce it according to the readme.md file.
The text was updated successfully, but these errors were encountered:
executed code
log:
error
I reproduce it according to the readme.md file.
The text was updated successfully, but these errors were encountered: