Module: tfma.types

View source on GitHub

Types.

Classes

class EvalSharedModel: Shared model used during extraction and evaluation.

class FeaturesPredictionsLabels: FeaturesPredictionsLabels(input_ref, features, predictions, labels)

class MaterializedColumn: MaterializedColumn(name, value)

class ModelLoader: Model loader is responsible for loading shared model types.

class ValueWithTDistribution: Represents the t-distribution value.

Functions

is_tensor(...)

Type Aliases

DictOfFetchedTensorValues: The central part of internal API.

DictOfTensorType: The central part of internal API.

DictOfTensorValue: The central part of internal API.

Extracts: The central part of internal API.

FPLKeyType: The central part of internal API.

MaybeMultipleEvalSharedModels: The central part of internal API.

MetricVariablesType: The central part of internal API.

TensorOrOperationType: The central part of internal API.

TensorType: The central part of internal API.

TensorTypeMaybeDict: The central part of internal API.

TensorValue: The central part of internal API.

TensorValueMaybeDict: The central part of internal API.