fix tests
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parent
0510cf4491
commit
81a2cbb4eb
@ -48,7 +48,7 @@ def can_run_model(model: str) -> None:
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('XGBoostRegressor', False, True, False, True, False, 10),
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('XGBoostRegressor', False, True, False, True, False, 10),
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('XGBoostRFRegressor', False, False, False, True, False, 0),
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('XGBoostRFRegressor', False, False, False, True, False, 0),
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('CatboostRegressor', False, False, False, True, True, 0),
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('CatboostRegressor', False, False, False, True, True, 0),
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('MLPPyTorchRegressor', False, False, False, True, False, 0),
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('PyTorchMLPRegressor', False, False, False, True, False, 0),
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('ReinforcementLearner', False, True, False, True, False, 0),
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('ReinforcementLearner', False, True, False, True, False, 0),
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('ReinforcementLearner_multiproc', False, False, False, True, False, 0),
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('ReinforcementLearner_multiproc', False, False, False, True, False, 0),
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('ReinforcementLearner_test_3ac', False, False, False, False, False, 0),
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('ReinforcementLearner_test_3ac', False, False, False, False, False, 0),
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@ -86,7 +86,7 @@ def test_extract_data_and_train_model_Standard(mocker, freqai_conf, model, pca,
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if 'test_3ac' in model or 'test_4ac' in model:
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if 'test_3ac' in model or 'test_4ac' in model:
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freqai_conf["freqaimodel_path"] = str(Path(__file__).parents[1] / "freqai" / "test_models")
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freqai_conf["freqaimodel_path"] = str(Path(__file__).parents[1] / "freqai" / "test_models")
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if 'MLPPyTorchRegressor' in model:
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if 'PyTorchMLPRegressor' in model:
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model_save_ext = 'zip'
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model_save_ext = 'zip'
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freqai_conf['freqai']['model_training_parameters'].update({
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freqai_conf['freqai']['model_training_parameters'].update({
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"learning_rate": 3e-4,
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"learning_rate": 3e-4,
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@ -214,7 +214,7 @@ def test_extract_data_and_train_model_Classifiers(mocker, freqai_conf, model):
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freqai.extract_data_and_train_model(new_timerange, "ADA/BTC",
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freqai.extract_data_and_train_model(new_timerange, "ADA/BTC",
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strategy, freqai.dk, data_load_timerange)
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strategy, freqai.dk, data_load_timerange)
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if 'MLPPyTorchClassifier':
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if 'PyTorchMLPClassifier':
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freqai_conf['freqai']['model_training_parameters'].update({
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freqai_conf['freqai']['model_training_parameters'].update({
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"learning_rate": 3e-4,
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"learning_rate": 3e-4,
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"trainer_kwargs": {
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"trainer_kwargs": {
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