simpleml.models.classifiers.sklearn.neural_network module

Wrapper module around sklearn.neural_network

class simpleml.models.classifiers.sklearn.neural_network.SklearnMLPClassifier(has_external_files=True, external_model_kwargs={}, params={}, **kwargs)[source]

Bases: simpleml.models.classifiers.sklearn.base_sklearn_classifier.SklearnClassifier

author
created_timestamp
feature_metadata
filepaths
has_external_files
hash_
id
metadata_
modified_timestamp
name
params
pipeline
pipeline_id
project
registered_name
version
version_description
class simpleml.models.classifiers.sklearn.neural_network.WrappedSklearnMLPClassifier(hidden_layer_sizes=(100, ), activation='relu', solver='adam', alpha=0.0001, batch_size='auto', learning_rate='constant', learning_rate_init=0.001, power_t=0.5, max_iter=200, shuffle=True, random_state=None, tol=0.0001, verbose=False, warm_start=False, momentum=0.9, nesterovs_momentum=True, early_stopping=False, validation_fraction=0.1, beta_1=0.9, beta_2=0.999, epsilon=1e-08, n_iter_no_change=10)[source]

Bases: sklearn.neural_network.multilayer_perceptron.MLPClassifier, simpleml.models.classifiers.external_models.ClassificationExternalModelMixin

get_feature_metadata(features, **kwargs)[source]

By default nothing is implemented