tfdv.update_schema

Updates input schema to conform to the input statistics.

tfdv.update_schema(
    schema: schema_pb2.Schema,
    statistics: statistics_pb2.DatasetFeatureStatisticsList,
    infer_feature_shape: Optional[bool] = True,
    max_string_domain_size: Optional[int] = 100
) -> schema_pb2.Schema

schemaA Schema protocol buffer.
statisticsA DatasetFeatureStatisticsList protocol buffer. Schema inference is currently supported only for lists with a single DatasetFeatureStatistics proto or lists with multiple DatasetFeatureStatistics protos corresponding to data slices that include the default slice (i.e., the slice with all examples). If a list with multiple DatasetFeatureStatistics protos is used, this function will update the schema to conform to the statistics corresponding to the default slice.
infer_feature_shapeDEPRECATED, do not use. If a feature specifies a shape, the shape will always be validated. If the feature does not specify a shape, this function will not try inferring a shape from the given statistics.
max_string_domain_sizeMaximum size of the domain of a string feature in order to be interpreted as a categorical feature.

A Schema protocol buffer.

TypeErrorIf the input argument is not of the expected type.
ValueErrorIf the input statistics proto contains multiple datasets, none of which corresponds to the default slice.