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