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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.