def run(self, model, matrix=None, matrix_name=None, matrix_type=None):
if matrix is not None:
return BasePipeline.run(self,
matrix_name=matrix.name,
matrix_type=matrix.type,
model=model)
else:
return BasePipeline.run(self,
matrix_name=matrix_name,
matrix_type=matrix_type,
model=model)
def run(self, dataset, model):
return BasePipeline.run(self, dataset=dataset, model=model)
def run(self, X, Y, model):
return BasePipeline.run(self, X=X, Y=Y, model=model)
def run(self, dataset, model, class_column):
return BasePipeline.run(self,
dataset=dataset,
model=model,
extra_params={"class_column": class_column})