simpleml.models.classifiers.sklearn.multiclass module

Wrapper module around sklearn.multiclass

class simpleml.models.classifiers.sklearn.multiclass.SklearnOneVsOneClassifier(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.multiclass.SklearnOneVsRestClassifier(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.multiclass.SklearnOutputCodeClassifier(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.multiclass.WrappedSklearnOneVsOneClassifier(estimator, n_jobs=None)[source]

Bases: sklearn.multiclass.OneVsOneClassifier, simpleml.models.classifiers.external_models.ClassificationExternalModelMixin

get_feature_metadata(features, **kwargs)[source]

By default nothing is implemented

class simpleml.models.classifiers.sklearn.multiclass.WrappedSklearnOneVsRestClassifier(estimator, n_jobs=None)[source]

Bases: sklearn.multiclass.OneVsRestClassifier, simpleml.models.classifiers.external_models.ClassificationExternalModelMixin

get_feature_metadata(features, **kwargs)[source]

By default nothing is implemented

class simpleml.models.classifiers.sklearn.multiclass.WrappedSklearnOutputCodeClassifier(estimator, code_size=1.5, random_state=None, n_jobs=None)[source]

Bases: sklearn.multiclass.OutputCodeClassifier, simpleml.models.classifiers.external_models.ClassificationExternalModelMixin

get_feature_metadata(features, **kwargs)[source]

By default nothing is implemented