# NormalizationCatalog Class

## Definition

Collection of extension methods for TransformsCatalog to create instances of numerical normalization components.

public static class NormalizationCatalog
type NormalizationCatalog = class
Public Module NormalizationCatalog
Inheritance
NormalizationCatalog

## Methods

 Create a NormalizingEstimator, which normalizes by assigning the data into bins with equal density. Create a NormalizingEstimator, which normalizes by assigning the data into bins with equal density. Create a GlobalContrastNormalizingEstimator, which normalizes columns individually applying global contrast normalization. Setting ensureZeroMean to true, will apply a pre-processing step to make the specified column's mean be the zero vector. Create a NormalizingEstimator, which normalizes based on the computed mean and variance of the logarithm of the data. Create a NormalizingEstimator, which normalizes based on the computed mean and variance of the logarithm of the data. Create a NormalizingEstimator, which normalizes based on the computed mean and variance of the logarithm of the data. Create a NormalizingEstimator, which normalizes based on the computed mean and variance of the logarithm of the data. Create a LpNormNormalizingEstimator, which normalizes (scales) vectors in the input column to the unit norm. The type of norm that is used is defined by norm. Setting ensureZeroMean to true, will apply a pre-processing step to make the specified column's mean be a zero vector. Create a NormalizingEstimator, which normalizes based on the computed mean and variance of the data. Create a NormalizingEstimator, which normalizes based on the computed mean and variance of the data. Create a NormalizingEstimator, which normalizes based on the observed minimum and maximum values of the data. Create a NormalizingEstimator, which normalizes based on the observed minimum and maximum values of the data. Create a NormalizingEstimator, which normalizes by assigning the data into bins based on correlation with the labelColumnName column. Create a NormalizingEstimator, which normalizes by assigning the data into bins based on correlation with the labelColumnName column.