Classification Class

Defines the names of classification algorithms used in automated ML.

Azure supports these classification algorithms, but you as a user do not need to specify the algorithms directly. Use the allowed_models and blocked_models parameters of AutoMLConfig class to include or exclude models.

To learn more about in automated ML in Azure see:

• What is automated ML

• How to define a machine learning task

• Configure automated ML experiments in Python

• TensorFlowDNN, TensorFlowLinearClassifier are deprecated.

Inheritance

builtins.object

Classification

Constructor

Classification()

Attributes

AveragedPerceptronClassifier

AveragedPerceptronClassifier = 'AveragedPerceptronClassifier'

BernoulliNB

BernoulliNB = 'BernoulliNaiveBayes'

DecisionTree

DecisionTree = 'DecisionTree'

ExtraTrees

ExtraTrees = 'ExtremeRandomTrees'

GradientBoosting

GradientBoosting = 'GradientBoosting'

KNearestNeighborsClassifier

KNearestNeighborsClassifier = 'KNN'

LightGBMClassifier

LightGBMClassifier = 'LightGBM'

LinearSupportVectorMachine

LinearSupportVectorMachine = 'LinearSVM'

LogisticRegression

LogisticRegression = 'LogisticRegression'

MultinomialNB

MultinomialNB = 'MultinomialNaiveBayes'

RandomForest

RandomForest = 'RandomForest'

SGDClassifier

SGDClassifier = 'SGD'

SupportVectorMachine

SupportVectorMachine = 'SVM'

TabNetClassifier

TabNetClassifier = 'TabnetClassifier'

TensorFlowDNNClassifier

TensorFlowDNNClassifier = 'TensorFlowDNN'

TensorFlowLinearClassifier

TensorFlowLinearClassifier = 'TensorFlowLinearClassifier'

XGBoostClassifier

XGBoostClassifier = 'XGBoostClassifier'