Google Cloud Ai Platform V1 Client - Class FeatureValueDomain (1.2.0)

Reference documentation and code samples for the Google Cloud Ai Platform V1 Client class 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.

Generated from protobuf message google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.FeatureValueDomain

Namespace

Google \ Cloud \ AIPlatform \ V1 \ ExplanationMetadata \ InputMetadata

Methods

__construct

Constructor.

Parameters
Name Description
data array

Optional. Data for populating the Message object.

↳ min_value float

The minimum permissible value for this feature.

↳ max_value float

The maximum permissible value for this feature.

↳ original_mean 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 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.

getMinValue

The minimum permissible value for this feature.

Returns
Type Description
float

setMinValue

The minimum permissible value for this feature.

Parameter
Name Description
var float
Returns
Type Description
$this

getMaxValue

The maximum permissible value for this feature.

Returns
Type Description
float

setMaxValue

The maximum permissible value for this feature.

Parameter
Name Description
var float
Returns
Type Description
$this

getOriginalMean

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
Type Description
float

setOriginalMean

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.

Parameter
Name Description
var float
Returns
Type Description
$this

getOriginalStddev

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
Type Description
float

setOriginalStddev

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.

Parameter
Name Description
var float
Returns
Type Description
$this