def component_vector(self, index):
return MeanLinearModel.component(self, index)
def project_out_vector(self, instance_vector):
return MeanLinearModel.project_out(self, instance_vector)
def reconstruct_vector(self, instance_vector):
return MeanLinearModel.reconstruct(self, instance_vector)
def instance_vector(self, weights):
return MeanLinearModel.instance(self, weights)
def project_out_vector(self, instance_vector):
return MeanLinearModel.project_out(self, instance_vector)
def __init__(self, components, mean):
MeanLinearModel.__init__(self, components, mean.as_vector())
VectorizableBackedModel.__init__(self, mean)
def component_vector(self, index):
return MeanLinearModel.component(self, index)
def instance_vector(self, weights):
return MeanLinearModel.instance(self, weights)
def reconstruct_vector(self, instance_vector):
return MeanLinearModel.reconstruct(self, instance_vector)
def __init__(self, components, mean):
MeanLinearModel.__init__(self, components, mean.as_vector())
VectorizableBackedModel.__init__(self, mean)
def project_vector(self, instance_vector, project_weight=None):
return MeanLinearModel.project(self, instance_vector, project_weight)
