simpleml.models.classifiers.sklearn.naive_bayes module¶

Wrapper module around sklearn.naive_bayes

class simpleml.models.classifiers.sklearn.naive_bayes.SklearnBernoulliNB(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.naive_bayes.SklearnGaussianNB(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.naive_bayes.SklearnMultinomialNB(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.naive_bayes.WrappedSklearnBernoulliNB(alpha=1.0, binarize=0.0, fit_prior=True, class_prior=None)[source]¶

Bases: sklearn.naive_bayes.BernoulliNB, simpleml.models.classifiers.external_models.ClassificationExternalModelMixin

get_feature_metadata(features, **kwargs)[source]¶: By default nothing is implemented

class simpleml.models.classifiers.sklearn.naive_bayes.WrappedSklearnGaussianNB(priors=None, var_smoothing=1e-09)[source]¶

Bases: sklearn.naive_bayes.GaussianNB, simpleml.models.classifiers.external_models.ClassificationExternalModelMixin

get_feature_metadata(features, **kwargs)[source]¶: By default nothing is implemented

class simpleml.models.classifiers.sklearn.naive_bayes.WrappedSklearnMultinomialNB(alpha=1.0, fit_prior=True, class_prior=None)[source]¶

Bases: sklearn.naive_bayes.MultinomialNB, simpleml.models.classifiers.external_models.ClassificationExternalModelMixin

get_feature_metadata(features, **kwargs)[source]¶: By default nothing is implemented