getHist#

mlquantify.utils.method.getHist(scores, nbins)[source]#

Calculate histogram-like bin probabilities for a given set of scores.

This function divides the score range into equal bins and computes the proportion of scores in each bin, normalized by the total count.

Parameters:
scoresnp.ndarray

A 1-dimensional array of scores.

nbinsint

Number of bins for dividing the score range.

Returns:
np.ndarray

An array containing the normalized bin probabilities.

Notes

  • The bins are equally spaced between 0 and 1, with an additional upper boundary to include the maximum score.

  • The returned probabilities are normalized to account for the total number of scores.