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