Enum gapi_grpc::google::cloud::aiplatform::v1beta1::explanation_metadata::input_metadata::Encoding

#[repr(i32)]pub enum Encoding {
    Unspecified,
    Identity,
    BagOfFeatures,
    BagOfFeaturesSparse,
    Indicator,
    CombinedEmbedding,
    ConcatEmbedding,
}

Defines how the feature is encoded to [encoded_tensor][]. Defaults to IDENTITY.

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][google.cloud.aiplatform.v1beta1.ExplanationMetadata.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][google.cloud.aiplatform.v1beta1.ExplanationMetadata.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][google.cloud.aiplatform.v1beta1.ExplanationMetadata.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][google.cloud.aiplatform.v1beta1.ExplanationMetadata.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][google.cloud.aiplatform.v1beta1.ExplanationMetadata.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]]

Implementations

impl Encoding

pub fn is_valid(value: i32) -> bool

Returns true if value is a variant of Encoding.

pub fn from_i32(value: i32) -> Option<Encoding>

Converts an i32 to a Encoding, or None if value is not a valid variant.

Trait Implementations

impl Clone for Encoding

fn clone(&self) -> Encoding

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Copy for Encoding

impl Debug for Encoding

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

Formats the value using the given formatter.

impl Default for Encoding

fn default() -> Encoding

Returns the “default value” for a type.

impl Eq for Encoding

impl From<Encoding> for i32

fn from(value: Encoding) -> i32

Performs the conversion.

impl Hash for Encoding

fn hash<__H: Hasher>(&self, state: &mut __H)

Feeds this value into the given Hasher.

pub fn hash_slice<H>(data: &[Self], state: &mut H) where
    H: Hasher, 

Feeds a slice of this type into the given Hasher.

impl Ord for Encoding

fn cmp(&self, other: &Encoding) -> Ordering

This method returns an Ordering between self and other.

#[must_use]pub fn max(self, other: Self) -> Self

Compares and returns the maximum of two values.

#[must_use]pub fn min(self, other: Self) -> Self

Compares and returns the minimum of two values.

#[must_use]pub fn clamp(self, min: Self, max: Self) -> Self

Restrict a value to a certain interval.

impl PartialEq<Encoding> for Encoding

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

This method tests for self and other values to be equal, and is used by ==.

#[must_use]pub fn ne(&self, other: &Rhs) -> bool

This method tests for !=.

impl PartialOrd<Encoding> for Encoding

fn partial_cmp(&self, other: &Encoding) -> Option<Ordering>

This method returns an ordering between self and other values if one exists.

#[must_use]pub fn lt(&self, other: &Rhs) -> bool

This method tests less than (for self and other) and is used by the < operator.

#[must_use]pub fn le(&self, other: &Rhs) -> bool

This method tests less than or equal to (for self and other) and is used by the <= operator.

#[must_use]pub fn gt(&self, other: &Rhs) -> bool

This method tests greater than (for self and other) and is used by the > operator.

#[must_use]pub fn ge(&self, other: &Rhs) -> bool

This method tests greater than or equal to (for self and other) and is used by the >= operator.

impl StructuralEq for Encoding

impl StructuralPartialEq for Encoding