Decomposition

PCA

decomposition.PCA(principal_components, mean)

InMemoryModel implementation of the PCA algorithm.

Methods:

PCA.get_attributes()	Returns the model attributes.
PCA.matrix_rotation(Phi[, gamma, q, tol])	Performs an Oblimin (Varimax, Quartimax) rotation on the input matrix.
PCA.rotate([gamma, q, tol])	Performs an Oblimin (Varimax, Quartimax) rotation on the PCA matrix.
PCA.set_attributes(**kwargs)	Sets the model attributes.
PCA.transform(X)	Transforms and applies the PCA model to the input matrix.
PCA.transform_sql(X)	Transforms and returns the SQL needed to deploy the PCA model.

Attributes:

PCA.object_type

Must be overridden in child class

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SVD

decomposition.SVD(vectors, values)

InMemoryModel implementation of the SVD Algorithm.

Methods:

SVD.get_attributes()	Returns the model attributes.
SVD.set_attributes(**kwargs)	Sets the model attributes.
SVD.transform(X)	Transforms and applies the SVD model to the input matrix.
SVD.transform_sql(X)	Transforms and returns the SQL needed to deploy the SVD model.

Attributes:

SVD.object_type

Must be overridden in child class