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Code Block
mlp_classification(
source_table,
output_table,
independent_varname,
dependent_varname,
hidden_layer_sizes,
optimizer_params,
activation,
weights,
warm_start,
verbose,
grouping_col
)


Interfaces for Cross

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Validation

The general CV interface is clunky and difficult to use. Instead we should aim to incorporate CV capabilities within each relevant function. For example, the Elastic Net CV in scikit-learn includes a ‘cv’ parameter that picks best estimator using cross-validation.

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