Example #1
0
 def component_vector(self, index):
     return MeanLinearModel.component(self, index)
Example #2
0
 def project_out_vector(self, instance_vector):
     return MeanLinearModel.project_out(self, instance_vector)
Example #3
0
 def reconstruct_vector(self, instance_vector):
     return MeanLinearModel.reconstruct(self, instance_vector)
Example #4
0
 def instance_vector(self, weights):
     return MeanLinearModel.instance(self, weights)
Example #5
0
 def project_out_vector(self, instance_vector):
     return MeanLinearModel.project_out(self, instance_vector)
Example #6
0
 def __init__(self, components, mean):
     MeanLinearModel.__init__(self, components, mean.as_vector())
     VectorizableBackedModel.__init__(self, mean)
Example #7
0
 def component_vector(self, index):
     return MeanLinearModel.component(self, index)
Example #8
0
 def instance_vector(self, weights):
     return MeanLinearModel.instance(self, weights)
Example #9
0
 def reconstruct_vector(self, instance_vector):
     return MeanLinearModel.reconstruct(self, instance_vector)
Example #10
0
 def __init__(self, components, mean):
     MeanLinearModel.__init__(self, components, mean.as_vector())
     VectorizableBackedModel.__init__(self, mean)
Example #11
0
 def project_vector(self, instance_vector, project_weight=None):
     return MeanLinearModel.project(self, instance_vector, project_weight)