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Train converts the FloatAttributesinto equivalently named BinaryAttributes, leaves BinaryAttributes unmodified and processes CategoricalAttributes as follows.

If the CategoricalAttribute has two values, one of them is designated 0 and the other 1, and a single identically-named binary Attribute is returned.

If the CategoricalAttribute has more than two (n) values, the Filter generates n BinaryAttributes and sets each of them if the value's observed.

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