DEFAULT_ASSESSMENTS#

scikitplot.feature_selection.DEFAULT_ASSESSMENTS = {'binary': AssessmentSpec(provider='binary', params=(), enabled=True), 'categorical': AssessmentSpec(provider='categorical', params=(), enabled=True), 'constant': AssessmentSpec(provider='constant', params=(), enabled=True), 'discrete': AssessmentSpec(provider='discrete', params=(), enabled=True), 'has_infinite': AssessmentSpec(provider='has_infinite', params=(), enabled=True), 'has_missing': AssessmentSpec(provider='has_missing', params=(), enabled=True), 'has_outliers': AssessmentSpec(provider='has_outliers', params=(), enabled=True), 'high_cardinality': AssessmentSpec(provider='high_cardinality', params=(), enabled=True), 'high_missing': AssessmentSpec(provider='high_missing', params=(), enabled=True), 'identifier_like': AssessmentSpec(provider='identifier_like', params=(), enabled=True), 'integer_valued': AssessmentSpec(provider='integer_valued', params=(), enabled=True), 'near_constant': AssessmentSpec(provider='near_constant', params=(), enabled=True), 'non_negative': AssessmentSpec(provider='non_negative', params=(), enabled=True), 'skewed': AssessmentSpec(provider='skewed', params=(), enabled=True)}#

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