MLXBackend.norm_scores

MLXBackend.norm_scores(arr, exp_sq, sq_exp, n_obs, eps, out)

Normalizes arr by the standard deviation ensuring numerical stability.

Parameters:

arrBackendArray

The input array to be normalized.

exp_sqBackendArray

Non-normalized expectation square.

sq_expBackendArray

Non-normalized expectation.

n_obsint

Number of observations for normalization.

epsfloat

Numbers below this threshold will be ignored in division.

outBackendArray

Output array to write the result to.

Returns:

BackendArray

The normalized array with the same shape as arr.

See also

tme.matching_exhaustive.flc_scoring()