Vertex AI V1 API - Class Google::Cloud::AIPlatform::V1::ExplanationMetadata::InputMetadata::FeatureValueDomain (v0.52.0)

Reference documentation and code samples for the Vertex AI V1 API class Google::Cloud::AIPlatform::V1::ExplanationMetadata::InputMetadata::FeatureValueDomain.

Domain details of the input feature value. Provides numeric information about the feature, such as its range (min, max). If the feature has been pre-processed, for example with z-scoring, then it provides information about how to recover the original feature. For example, if the input feature is an image and it has been pre-processed to obtain 0-mean and stddev = 1 values, then original_mean, and original_stddev refer to the mean and stddev of the original feature (e.g. image tensor) from which input feature (with mean = 0 and stddev = 1) was obtained.

Inherits

  • Object

Extended By

  • Google::Protobuf::MessageExts::ClassMethods

Includes

  • Google::Protobuf::MessageExts

Methods

#max_value

def max_value() -> ::Float
Returns
  • (::Float) — The maximum permissible value for this feature.

#max_value=

def max_value=(value) -> ::Float
Parameter
  • value (::Float) — The maximum permissible value for this feature.
Returns
  • (::Float) — The maximum permissible value for this feature.

#min_value

def min_value() -> ::Float
Returns
  • (::Float) — The minimum permissible value for this feature.

#min_value=

def min_value=(value) -> ::Float
Parameter
  • value (::Float) — The minimum permissible value for this feature.
Returns
  • (::Float) — The minimum permissible value for this feature.

#original_mean

def original_mean() -> ::Float
Returns
  • (::Float) — If this input feature has been normalized to a mean value of 0, the original_mean specifies the mean value of the domain prior to normalization.

#original_mean=

def original_mean=(value) -> ::Float
Parameter
  • value (::Float) — If this input feature has been normalized to a mean value of 0, the original_mean specifies the mean value of the domain prior to normalization.
Returns
  • (::Float) — If this input feature has been normalized to a mean value of 0, the original_mean specifies the mean value of the domain prior to normalization.

#original_stddev

def original_stddev() -> ::Float
Returns
  • (::Float) — If this input feature has been normalized to a standard deviation of 1.0, the original_stddev specifies the standard deviation of the domain prior to normalization.

#original_stddev=

def original_stddev=(value) -> ::Float
Parameter
  • value (::Float) — If this input feature has been normalized to a standard deviation of 1.0, the original_stddev specifies the standard deviation of the domain prior to normalization.
Returns
  • (::Float) — If this input feature has been normalized to a standard deviation of 1.0, the original_stddev specifies the standard deviation of the domain prior to normalization.