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

The model plot is below.

MLPClassifier()

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How to Get Started with the Model

Use the code below to get started with the model.

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Model Card Authors

This model card is written by following authors:

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Model Card Contact

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Citation

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BibTeX:

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