Package org.datavec.api.transform.transform.categorical

Class Summary

Class	Description
CategoricalToIntegerTransform	Created by Alex on 4/03/2016.
CategoricalToOneHotTransform	Created by Alex on 4/03/2016.
FirstDigitTransform	FirstDigitTransform converts a column to a categorical column, with values being the first digit of the number. For example, "3.1415" becomes "3" and "2.0" becomes "2". Negative numbers ignore the sign: "-7.123" becomes "7". Note that two FirstDigitTransform.Modes are supported, which determines how non-numerical entries should be handled: EXCEPTION_ON_INVALID: output has 10 category values ("0", ..., "9"), and any non-numerical values result in an exception INCLUDE_OTHER_CATEGORY: output has 11 category values ("0", ..., "9", "Other"), all non-numerical values are mapped to "Other" FirstDigitTransform is useful (combined with CategoricalToOneHotTransform and Reductions) to implement Benford's law.
IntegerToCategoricalTransform	Convert an integer column to a categorical column, using a provided Map<Integer,String>
PivotTransform	Pivot transform operates on two columns: - a categorical column that operates as a key, and - Another column that contains a value Essentially, Pivot transform takes keyvalue pairs and breaks them out into separate columns.
StringToCategoricalTransform	Convert a String column to a categorical column

Enum Summary

Enum	Description
FirstDigitTransform.Mode	Mode determines how non-numerical entries should be handled: EXCEPTION_ON_INVALID: output has 10 category values ("0", ..., "9"), and any non-numerical values result in an exception INCLUDE_OTHER_CATEGORY: output has 11 category values ("0", ..., "9", "Other"), all non-numerical values are mapped to "Other"