- 0.61.0 (latest)
- 0.60.0
- 0.59.0
- 0.58.0
- 0.57.0
- 0.56.0
- 0.55.0
- 0.54.0
- 0.53.0
- 0.52.0
- 0.51.0
- 0.50.0
- 0.49.0
- 0.48.0
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Training pipeline will perform following transformation functions.
- The value converted to float32.
- The z_score of the value.
- log(value+1) when the value is greater than or equal to 0. Otherwise, this transformation is not applied and the value is considered a missing value.
- z_score of log(value+1) when the value is greater than or equal to 0. Otherwise, this transformation is not applied and the value is considered a missing value.
- A boolean value that indicates whether the value is valid.
Inherits
- Object
Extended By
- Google::Protobuf::MessageExts::ClassMethods
Includes
- Google::Protobuf::MessageExts
Methods
#column_name
def column_name() -> ::String
Returns
- (::String)
#column_name=
def column_name=(value) -> ::String
Parameter
- value (::String)
Returns
- (::String)
#invalid_values_allowed
def invalid_values_allowed() -> ::Boolean
Returns
- (::Boolean) — If invalid values is allowed, the training pipeline will create a boolean feature that indicated whether the value is valid. Otherwise, the training pipeline will discard the input row from trainining data.
#invalid_values_allowed=
def invalid_values_allowed=(value) -> ::Boolean
Parameter
- value (::Boolean) — If invalid values is allowed, the training pipeline will create a boolean feature that indicated whether the value is valid. Otherwise, the training pipeline will discard the input row from trainining data.
Returns
- (::Boolean) — If invalid values is allowed, the training pipeline will create a boolean feature that indicated whether the value is valid. Otherwise, the training pipeline will discard the input row from trainining data.