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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 RaggedTensorValue: RaggedTensorValue encapsulates a batch of ragged tensor values.
class SparseTensorValue: SparseTensorValue encapsulates a batch of sparse tensor values.
class StructuredMetricValue: The base class for all structured metrics used within TFMA.
class ValueWithTDistribution: Represents the t-distribution value.
class VarLenTensorValue: VarLenTensorValue encapsulates a batch of varlen dense tensor values.