#NEWLINE# def __init__( self , * args , **kwargs ) : #NEWLINE# #INDENT# ' Assemble a proper SVM using sklearn tools regressor ' #NEWLINE# local_kwargs = { key : kwargs . pop ( key ) for key in kwargs . keys ( ) if ( ( key != 'steps' ) and ( len ( key . split ( '__' , 1 ) ) == 1 ) ) } #NEWLINE# self . pipeline = Pipeline ( [ ( 'empty_dims_remover' , VarianceThreshold ( ) ) , ( 'scaler' , StandardScaler ( ) ) , ( 'svm' , SVR ( * args , ** local_kwargs ) ) ] ) . set_params ( ** kwargs )