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add config params to tests

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This commit is contained in:
Yinon Polak 2023-03-20 18:08:38 +02:00
parent 68728409aa
commit 0510cf4491
1 changed files with 30 additions and 0 deletions
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30
tests/freqai/test_freqai_interface.py
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@ -88,6 +88,19 @@ def test_extract_data_and_train_model_Standard(mocker, freqai_conf, model, pca,
if 'MLPPyTorchRegressor' in model: if 'MLPPyTorchRegressor' in model:
model_save_ext = 'zip' model_save_ext = 'zip'
freqai_conf['freqai']['model_training_parameters'].update({
"learning_rate": 3e-4,
"trainer_kwargs": {
"max_iters": 1,
"batch_size": 64,
"max_n_eval_batches": 1,
},
"model_kwargs": {
"hidden_dim": 32,
"dropout_percent": 0.2,
"n_layer": 1,
}
})
strategy = get_patched_freqai_strategy(mocker, freqai_conf) strategy = get_patched_freqai_strategy(mocker, freqai_conf)
exchange = get_patched_exchange(mocker, freqai_conf) exchange = get_patched_exchange(mocker, freqai_conf)
@ -200,6 +213,23 @@ def test_extract_data_and_train_model_Classifiers(mocker, freqai_conf, model):
freqai.extract_data_and_train_model(new_timerange, "ADA/BTC", freqai.extract_data_and_train_model(new_timerange, "ADA/BTC",
strategy, freqai.dk, data_load_timerange) strategy, freqai.dk, data_load_timerange)
if 'MLPPyTorchClassifier':
freqai_conf['freqai']['model_training_parameters'].update({
"learning_rate": 3e-4,
"trainer_kwargs": {
"max_iters": 1,
"batch_size": 64,
"max_n_eval_batches": 1,
},
"model_kwargs": {
"hidden_dim": 32,
"dropout_percent": 0.2,
"n_layer": 1,
}
})
if freqai.dd.model_type == 'joblib': if freqai.dd.model_type == 'joblib':
model_file_extension = ".joblib" model_file_extension = ".joblib"
elif freqai.dd.model_type == "pytorch": elif freqai.dd.model_type == "pytorch":