- 0.58.0 (latest)
- 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
- 0.47.0
- 0.46.0
- 0.45.0
- 0.44.0
- 0.43.0
- 0.42.0
- 0.41.0
- 0.40.0
- 0.39.0
- 0.38.0
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- 0.36.0
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- 0.34.0
- 0.33.0
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- 0.9.1
- 0.8.0
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- 0.4.0
- 0.3.0
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- 0.1.0
Treats the column as numerical array and performs following transformation functions.
- All transformations for Numerical types applied to the average of the all elements.
- The average of empty arrays is treated as zero.
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.