tfdv.validate_instance

Validates a batch of examples against the schema provided in options.

tfdv.validate_instance(
    instance: pa.RecordBatch,
    options: tfdv.StatsOptions,
    environment: Optional[str] = None
) -> anomalies_pb2.Anomalies

If an optional environment is specified, the schema is filtered using the environment and the instance is validated against the filtered schema.

instance A batch of examples in the form of an Arrow RecordBatch.
options tfdv.StatsOptions for generating data statistics. This must contain a schema.
environment An optional string denoting the validation environment. Must be one of the default environments specified in the schema. In some cases introducing slight schema variations is necessary, for instance features used as labels are required during training (and should be validated), but are missing during serving. Environments can be used to express such requirements. For example, assume a feature named 'LABEL' is required for training, but is expected to be missing from serving. This can be expressed by defining two distinct environments in the schema: ["SERVING", "TRAINING"] and associating 'LABEL' only with environment "TRAINING".

An Anomalies protocol buffer.

ValueError If options is not a StatsOptions object.
ValueError If options does not contain a schema.