Default values for DistributionConstraints fields.

Prototype feature, not used in experiments yet.

Used in user-facing experiments.

Only exists for debugging purposes.

No longer supported: do not use in new models.

Planned feature, may not be created yet.

Used in a significant fraction of user traffic.

Unknown stage.

Number of days since 1970-01-01.

Time values, containing hour/minute/second/nanos, encoded into 8-byte bit fields following the ZetaSQL convention: 6 5 4 3 2 1 MSB 3210987654321098765432109876543210987654321098765432109876543210 LSB | H || M || S ||---------- nanos -----------|.

Enum value maps for FeatureNameStatistics_Type.

Enum value maps for FeatureNameStatistics_Type.

Enum value maps for FeatureType.

Enum value maps for FeatureType.

Enum value maps for Histogram_HistogramType.

Enum value maps for Histogram_HistogramType.

Enum value maps for LifecycleStage.

Enum value maps for LifecycleStage.

Enum value maps for TimeDomain_IntegerTimeFormat.

Enum value maps for TimeDomain_IntegerTimeFormat.

Enum value maps for TimeOfDayDomain_IntegerTimeOfDayFormat.

Enum value maps for TimeOfDayDomain_IntegerTimeOfDayFormat.

Additional information about the schema or about a feature.

Encodes information about the domain of a boolean attribute that encodes its TRUE/FALSE values as strings, or 0=false, 1=true.

Statistics for a bytes feature in a dataset.

Common statistics for all feature types.

Stores the name and value of any custom statistic.

Constraints on the entire dataset.

The feature statistics for a single dataset.

A list of features statistics for different datasets.

Models constraints on the distribution of a feature's values.

Describes schema-level information about a specific feature.

The complete set of statistics for a given feature name for a dataset.

Describes constraints on the presence of the feature in the data.

Records constraints on the presence of a feature inside a "group" context (e.g., .presence inside a group of features that define a sequence).

Specifies a fixed shape for the feature's values.

An axis in a multi-dimensional feature representation.

Encodes information for domains of float values.

The data used to create a histogram of a numeric feature for a dataset.

Each bucket defines its low and high values along with its count.

Image data.

Checks that the L-infinity norm is below a certain threshold between the two discrete distributions.

Encodes information for domains of integer values.

Container for lift information for a specific y-value.

A bucket for referring to binned numeric features.

A container for lift information about a specific value of path_x.

Knowledge graph ID, see: https://www.wikidata.org/wiki/Property:P646.

Natural language text.

Statistics for a numeric feature in a dataset.

Checks that the ratio of the current value to the previous value is not below the min_fraction_threshold or above the max_fraction_threshold.

A path is a more general substitute for the name of a field or feature that can be used for flat examples as well as structured data.

The data used to create a rank histogram of a non-numeric feature of a dataset.

Each bucket defines its start and end ranks along with its count.

Message to represent schema information.

A sparse feature represents a sparse tensor that is encoded with a combination of raw features, namely index features and a value feature.

Encodes information for domains of string values.

Statistics for a string feature in a dataset.

Domain for a recursive struct.

A TensorRepresentation captures the intent for converting columns in a dataset to TensorFlow Tensors (or more generally, tf.CompositeTensors).

A tf.Tensor.

A tf.SparseTensor whose indices and values come from separate data columns.

A ragged tf.SparseTensor that models nested lists.

A TensorRepresentationGroup is a collection of TensorRepresentations with names.

Time or date representation.

Time of day, without a particular date.

A URL, see: https://en.wikipedia.org/wiki/URL.

Limits on maximum and minimum number of values in a single example (when the feature is present).

Common weighted statistics for all feature types.

Represents a weighted feature that is encoded as a combination of raw base features.

Statistics for a weighted numeric feature in a dataset.

Statistics for a weighted string feature in a dataset.

The types supported by the feature statistics.

Describes the physical representation of a feature.

The type of the histogram.

LifecycleStage.