LinearPairwisePredictor

class rlscore.predictor.pairwise_predictor.LinearPairwisePredictor(W, inds_X1training=None, inds_X2training=None, weights=None)

Bases: object

Linear pairwise predictor.

Parameters:

W : {array-like}, shape = [n_features1, n_features2]

primal coefficients for the Kronecker product features

Attributes:

W : {array-like}, shape = [n_features1, n_features2]

primal coefficients for the Kronecker product features

predict(X1pred, X2pred, inds_X1pred=None, inds_X2pred=None, pko=None)

Computes predictions for test examples.

Parameters:

X1pred : array-like, shape = [n_samples1, n_features1]

the first part of the test data matrix

X2pred : array-like, shape = [n_samples2, n_features2]

the second part of the test data matrix

inds_X1pred : list of indices, shape = [n_test_pairs], optional

maps rows of X1pred to vector of predictions P. If not supplied, predictions are computed for all possible test pair combinations.

inds_X2pred : list of indices, shape = [n_test_pairs], optional

maps rows of X2pred to vector of predictions P. If not supplied, predictions are computed for all possible test pair combinations.

Returns:

P : array, shape = [n_test_pairs] or [n_samples1*n_samples2]

predictions, either ordered according to the supplied row indices, or if no such are supplied by default prediction for (X1[i], X2[j]) maps to P[i + j*n_samples1].