Created
November 26, 2021 06:55
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MLP = MLPRegressor(activation='relu', alpha=10, batch_size='auto', beta_1=0.9, | |
beta_2=0.999, early_stopping=False, epsilon=1e-08, | |
hidden_layer_sizes=(100,), learning_rate='constant', | |
learning_rate_init=0.001, max_iter=500, momentum=0.9, | |
nesterovs_momentum=True, power_t=0.5, random_state=None, | |
shuffle=True, solver='adam', tol=0.0001, validation_fraction=0.1, | |
verbose=False, warm_start=False) | |
# scores | |
model_score_error(MLP) |
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