Structs

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Description of the data the model was trained on.

Description of the input features in the data set.

Description of the categorical values of this feature.

List of all the categories for this feature in the data set.

Description of the numeric values of this feature.

Description of multiple-word text values of this feature.

Description of the output value or label.

Description of the output values in the data set.

Description of the output labels in the data set.

Description of the model.

A builder providing access to all methods supported on hostedmodel resources. It is not used directly, but through the Prediction hub.

Submit input and request an output against a hosted model.

There is no detailed description.

Input to the model for a prediction.

There is no detailed description.

There is no detailed description.

Model metadata.

Instances to train model on.

There is no detailed description.

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A list of class labels with their estimated probabilities (Categorical models only).

Central instance to access all Prediction related resource activities

Get analysis of the model and the data the model was trained on.

Delete a trained model.

Check training status of your model.

Train a Prediction API model.

List available models.

A builder providing access to all methods supported on trainedmodel resources. It is not used directly, but through the Prediction hub.

Submit model id and request a prediction.

Add new data to a trained model.

There is no detailed description.

Enums

Identifies the an OAuth2 authorization scope. A scope is needed when requesting an authorization token.