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tfma.default_evaluators

Returns the default evaluators for use in ExtractAndEvaluate.

eval_shared_model Optional shared model (single-model evaluation) or list of shared models (multi-model evaluation). Only required if there are metrics to be computed in-graph using the model.
eval_config Eval config.
schema A schema to use for customizing default evaluators.
compute_confidence_intervals Deprecated (use eval_config).
min_slice_size Deprecated (use eval_config).
serialize Deprecated.
random_seed_for_testing Provide for deterministic tests only.
config_version Optional config version for this evaluation. This should not be explicitly set by users. It is only intended to be used in cases where the provided eval_config was generated internally, and thus not a reliable indicator of user intent.
tensor_adapter_config Tensor adapter config which specifies how to obtain tensors from the Arrow RecordBatch. The model's signature will be invoked with those tensors (matched by names). If None, an attempt will be made to create an adapter based on the model's input signature otherwise the model will be invoked with raw examples (assuming a signature of a single 1-D string tensor).