recpack.postprocessing.filters.PostFilter

class recpack.postprocessing.filters.PostFilter

Abstract baseclass for postprocessing filter implementations

A filter needs to implement an apply() method, which takes as input a csr_matrix, and returns a processed csr_matrix.

Methods

`apply`(X_pred)	Process the predictions, and return the processed matrix.
`apply_all`(*csr_matrices)	Apply the filter to each of the matrices.

abstract apply(X_pred: scipy.sparse._csr.csr_matrix) → scipy.sparse._csr.csr_matrix

Process the predictions, and return the processed matrix.

apply_all(*csr_matrices: scipy.sparse._csr.csr_matrix) → List[scipy.sparse._csr.csr_matrix]

Apply the filter to each of the matrices.

Parameters: csr_matrices (csr_matrix) – The matrices to apply the filter to.
Returns: The list of processed csr_matrices
Return type: List[csr_matrix]