generate_cf_finite_optimized

oasis_stat.generate_cf_finite_optimized(X, randSeed=0, numRandInits=10)

Generates optimized column and row embeddings for the finite sample p-value. Tries multiple random initializations and returns the embeddings that maximize the finite sample p-value on the given X.

Parameters:

• X (numpy.ndarray) – The input count matrix, IxJ.

• randSeed (int, optional) – The random seed for reproducibility. Default is 0.

• numRandInits (int, optional) – The number of random initializations to try. Default is 10.

Returns:

A tuple containing the column embedding vector (c) and the row embedding vector (f).

• c (numpy.ndarray): The column embedding vector, J-dimensional.

• f (numpy.ndarray): The row embedding vector, I-dimensional.

Return type:

tuple

Description

Generates optimized column and row embeddings for the finite sample p-value. Tries multiple random initializations and returns the embeddings that maximize the finite sample p-value on the given X.