Enum Encoding 

#[non_exhaustive]
pub enum Encoding {
    Unspecified,
    Identity,
    BagOfFeatures,
    BagOfFeaturesSparse,
    Indicator,
    CombinedEmbedding,
    ConcatEmbedding,
    UnknownValue(UnknownValue),
}

Available on crate features dataset-service or deployment-resource-pool-service or endpoint-service or job-service or model-service or pipeline-service only.

Defines how a feature is encoded. Defaults to IDENTITY.

Working with unknown values

This enum is defined as #[non_exhaustive] because Google Cloud may add additional enum variants at any time. Adding new variants is not considered a breaking change. Applications should write their code in anticipation of:

• New values appearing in future releases of the client library, and
• New values received dynamically, without application changes.

Please consult the Working with enums section in the user guide for some guidelines.

Variants (Non-exhaustive)

Non-exhaustive enums could have additional variants added in future. Therefore, when matching against variants of non-exhaustive enums, an extra wildcard arm must be added to account for any future variants.

Unspecified

Default value. This is the same as IDENTITY.

Identity

The tensor represents one feature.

BagOfFeatures

The tensor represents a bag of features where each index maps to a feature. InputMetadata.index_feature_mapping must be provided for this encoding. For example:

input = [27, 6.0, 150]
index_feature_mapping = ["age", "height", "weight"]

BagOfFeaturesSparse

The tensor represents a bag of features where each index maps to a feature. Zero values in the tensor indicates feature being non-existent. InputMetadata.index_feature_mapping must be provided for this encoding. For example:

input = [2, 0, 5, 0, 1]
index_feature_mapping = ["a", "b", "c", "d", "e"]

Indicator

The tensor is a list of binaries representing whether a feature exists or not (1 indicates existence). InputMetadata.index_feature_mapping must be provided for this encoding. For example:

input = [1, 0, 1, 0, 1]
index_feature_mapping = ["a", "b", "c", "d", "e"]

CombinedEmbedding

The tensor is encoded into a 1-dimensional array represented by an encoded tensor. InputMetadata.encoded_tensor_name must be provided for this encoding. For example:

input = ["This", "is", "a", "test", "."]
encoded = [0.1, 0.2, 0.3, 0.4, 0.5]

ConcatEmbedding

Select this encoding when the input tensor is encoded into a 2-dimensional array represented by an encoded tensor. InputMetadata.encoded_tensor_name must be provided for this encoding. The first dimension of the encoded tensor’s shape is the same as the input tensor’s shape. For example:

input = ["This", "is", "a", "test", "."]
encoded = [[0.1, 0.2, 0.3, 0.4, 0.5],
           [0.2, 0.1, 0.4, 0.3, 0.5],
           [0.5, 0.1, 0.3, 0.5, 0.4],
           [0.5, 0.3, 0.1, 0.2, 0.4],
           [0.4, 0.3, 0.2, 0.5, 0.1]]

UnknownValue(UnknownValue)

If set, the enum was initialized with an unknown value.

Applications can examine the value using Encoding::value or Encoding::name.

Implementations

impl Encoding

pub fn value(&self) -> Option<i32>

Gets the enum value.

Returns None if the enum contains an unknown value deserialized from the string representation of enums.

pub fn name(&self) -> Option<&str>

Gets the enum value as a string.

Returns None if the enum contains an unknown value deserialized from the integer representation of enums.

Trait Implementations

impl Clone for Encoding

fn clone(&self) -> Encoding

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for Encoding

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for Encoding

fn default() -> Self

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for Encoding

fn deserialize<D>(deserializer: D) -> Result<Self, D::Error>

where D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Display for Encoding

fn fmt(&self, f: &mut Formatter<'_>) -> Result<(), Error>

Formats the value using the given formatter.

impl From<&str> for Encoding

fn from(value: &str) -> Self

Converts to this type from the input type.

impl From<i32> for Encoding

fn from(value: i32) -> Self

Converts to this type from the input type.

impl PartialEq for Encoding

fn eq(&self, other: &Encoding) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl Serialize for Encoding

fn serialize<S>(&self, serializer: S) -> Result<S::Ok, S::Error>

where S: Serializer,

Serialize this value into the given Serde serializer.

impl StructuralPartialEq for Encoding