add config params to tests
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@ -88,6 +88,19 @@ def test_extract_data_and_train_model_Standard(mocker, freqai_conf, model, pca,
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if 'MLPPyTorchRegressor' in model:
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model_save_ext = 'zip'
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freqai_conf['freqai']['model_training_parameters'].update({
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"learning_rate": 3e-4,
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"trainer_kwargs": {
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"max_iters": 1,
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"batch_size": 64,
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"max_n_eval_batches": 1,
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},
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"model_kwargs": {
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"hidden_dim": 32,
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"dropout_percent": 0.2,
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"n_layer": 1,
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}
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})
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strategy = get_patched_freqai_strategy(mocker, freqai_conf)
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exchange = get_patched_exchange(mocker, freqai_conf)
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@ -200,6 +213,23 @@ 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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strategy, freqai.dk, data_load_timerange)
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if 'MLPPyTorchClassifier':
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freqai_conf['freqai']['model_training_parameters'].update({
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"learning_rate": 3e-4,
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"trainer_kwargs": {
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"max_iters": 1,
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"batch_size": 64,
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"max_n_eval_batches": 1,
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},
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"model_kwargs": {
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"hidden_dim": 32,
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"dropout_percent": 0.2,
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"n_layer": 1,
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}
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})
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if freqai.dd.model_type == 'joblib':
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model_file_extension = ".joblib"
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elif freqai.dd.model_type == "pytorch":
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