ParaMonte Fortran 2.0.0
Parallel Monte Carlo and Machine Learning Library
See the latest version documentation.
pm_sampleNorm.F90 File Reference

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Data Types

type  pm_sampleNorm::zscore_type
 This is the derived type whose instances are meant to signify a sample shifting by an amount equal to the negative of the sample mean and scaling the result by an amount equal to the inverse of the sample standard deviation or an equivalent measure.
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interface  pm_sampleNorm::getNormed
 Generate a sample of shape (nsam), or (ndim, nsam) or (nsam, ndim) that is normalized by the specified input shift and scale along the specified axis dim.
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interface  pm_sampleNorm::setNormed
 Return a sample of shape (nsam), or (ndim, nsam) or (nsam, ndim) that is normalized by the specified input shift and scale along the specified axis dim.
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Modules

module  pm_sampleNorm
 This module contains classes and procedures for normalizing univariate or multivariate samples by arbitrary amounts along specific directions.
 

Variables

character(*, SK), parameter pm_sampleNorm::MODULE_NAME = "@pm_sampleNorm"
 
type(zscore_type), parameter pm_sampleNorm::zscore = zscore_type()