geolime.geostats.math.gauss_score

Functions:

gauss_score(z[, weights])

Function to obtain the (standard) Gaussian scores of a sample.

Data:

logger

By CarrizoV, ArxiteK.
geolime.geostats.math.gauss_score.gauss_score(z: numpy.ndarray, weights: numpy.ndarray = None)

Function to obtain the (standard) Gaussian scores of a sample.

Parameters

  • z (np.ndarray) – numpy array containing the data.

  • weights (np.ndarray) – probability weights associated to each interval defined by the order statisticals of the data. Numpy array of size Z.size+1, with non-negative values adding 1 (if not adding 1, they are normalized). weights[j] represent the probability that an anamorphosed standard Gaussian variable according to the empirical cumulative distribution function of Z falls into the interval (Z_(j-1) , Z_(j) ], being Z_(j) the order statistical, j = 1 , … , N+1, with N the sample size, Z_(0) = -inf, and Z_(N+1) = +inf. If None, a uniform weight vector is used.

Returns

Returns a numpy array that contains the Gaussian scores

Return type

np.ndarray

geolime.geostats.math.gauss_score.logger = <Logger geolime.geostats.math.gauss_score (WARNING)>

By CarrizoV, ArxiteK. For DeepLime.