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Model description

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Intended uses & limitations

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Training Procedure

Hyperparameters

The model is trained with below hyperparameters.

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Hyperparameter Value
activation relu
alpha 0.0001
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_fun 15000
max_iter 200
momentum 0.9
n_iter_no_change 10
nesterovs_momentum True
power_t 0.5
random_state
shuffle True
solver adam
tol 0.0001
validation_fraction 0.1
verbose False
warm_start False

Model Plot

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MLPClassifier()
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How to Get Started with the Model

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Model Card Authors

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Citation

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