BlockedTransformer Struct

Definition

Namespace:

Azure.ResourceManager.MachineLearning.Models

Assembly:

Azure.ResourceManager.MachineLearning.dll

Package:

Azure.ResourceManager.MachineLearning v1.1.1

Source:

BlockedTransformer.cs

Enum for all classification models supported by AutoML.

public readonly struct BlockedTransformer : IEquatable<Azure.ResourceManager.MachineLearning.Models.BlockedTransformer>

type BlockedTransformer = struct

Public Structure BlockedTransformer
Implements IEquatable(Of BlockedTransformer)

Inheritance

ValueType

BlockedTransformer

Implements

IEquatable<BlockedTransformer>

Constructors

BlockedTransformer(String)

Initializes a new instance of BlockedTransformer.

Properties

CatTargetEncoder	Target encoding for categorical data.
CountVectorizer	Count Vectorizer converts a collection of text documents to a matrix of token counts.
HashOneHotEncoder	Hashing One Hot Encoder can turn categorical variables into a limited number of new features. This is often used for high-cardinality categorical features.
LabelEncoder	Label encoder converts labels/categorical variables in a numerical form.
NaiveBayes	Naive Bayes is a classified that is used for classification of discrete features that are categorically distributed.
OneHotEncoder	Ohe hot encoding creates a binary feature transformation.
TextTargetEncoder	Target encoding for text data.
TfIdf	Tf-Idf stands for, term-frequency times inverse document-frequency. This is a common term weighting scheme for identifying information from documents.
WoETargetEncoder	Weight of Evidence encoding is a technique used to encode categorical variables. It uses the natural log of the P(1)/P(0) to create weights.
WordEmbedding	Word embedding helps represents words or phrases as a vector, or a series of numbers.

Methods

Equals(BlockedTransformer)	Indicates whether the current object is equal to another object of the same type.
ToString()	Returns the fully qualified type name of this instance.

Operators

Equality(BlockedTransformer, BlockedTransformer)	Determines if two BlockedTransformer values are the same.
Implicit(String to BlockedTransformer)	Converts a string to a BlockedTransformer.
Inequality(BlockedTransformer, BlockedTransformer)	Determines if two BlockedTransformer values are not the same.