ai.onnx.ml#

This page lists all operators in the ai.onnx.ml domain.

Operator

Since version

Deprecated

Short description

ArrayFeatureExtractor

1

No

Select elements of the input tensor based on the indices passed.

Binarizer

1

No

Maps the values of the input tensor to either 0 or 1, element-wise, based on …

CastMap

1

No

Converts a map to a tensor. The map key must be an int64 and the values will …

CategoryMapper

1

No

Converts strings to integers and vice versa.

DictVectorizer

1

No

Uses an index mapping to convert a dictionary to an array.

FeatureVectorizer

1

No

Concatenates input tensors into one continuous output.

Imputer

1

No

Replaces inputs that equal one value with another, leaving all other elements…

LabelEncoder

4

No

Maps each element in the input tensor to another value.

LinearClassifier

1

No

Linear classifier

LinearRegressor

1

No

Generalized linear regression evaluation.

Normalizer

1

No

Normalize the input. There are three normalization modes, which have the cor…

OneHotEncoder

1

No

Replace each input element with an array of ones and zeros, where a single

SVMClassifier

1

No

Support Vector Machine classifier

SVMRegressor

1

No

Support Vector Machine regression prediction and one-class SVM anomaly detect…

Scaler

1

No

Rescale input data, for example to standardize features by removing the mean …

TreeEnsemble

5

No

Tree Ensemble operator. Returns the regressed values for each input in a batch.

TreeEnsembleClassifier

5

Yes

This operator is DEPRECATED. Please use TreeEnsemble with provides similar fu…

TreeEnsembleRegressor

5

Yes

This operator is DEPRECATED. Please use TreeEnsemble instead which provides t…

ZipMap

1

No

Creates a map from the input and the attributes.