Properties¶
Summary¶
property 
class parent 
truncated documentation 

SkLearnParameters 
Returns parameter names. 


PipelineCache 


PipelineCache 


PipelineCache 


PipelineCache 

TransformedTargetClassifier2 
Returns the classes. 

TimeSeriesDifference 
Returns the degree. 


PiecewiseTreeRegressor 
Return the feature importances. The importance of a feature is computed as the (normalized) total reduction … 

TraceableTfidfVectorizer 


PipelineCache 
Apply inverse transformations in reverse order All estimators in the pipeline must support 
IntervalRegressor 
Returns the number of estimators = the number of buckets the data was split in. 


PiecewiseClassifier 
Returns the number of estimators = the number of buckets the data was split in. 
PiecewiseEstimator 
Returns the number of estimators = the number of buckets the data was split in. 


PiecewiseRegressor 
Returns the number of estimators = the number of buckets the data was split in. 
PipelineCache 


TraceableTfidfVectorizer 


CustomizedMultilayerPerceptron 
Update the model with a single iteration over the given data. Parameters ——— X : {arraylike, … 

QuantileMLPRegressor 
Update the model with a single iteration over the given data. Parameters ——— X : {arraylike, … 

TraceableTfidfVectorizer 


TraceableTfidfVectorizer 


PipelineCache 
Apply transforms, and transform with the final estimator This also works where final estimator is 

TraceableTfidfVectorizer 