(transform-one-hot column-selector strategy)(transform-one-hot column-selector strategy options)Transformer which mapps categorical variables to numbers. Each value of the column gets its won column in one-hot-encoding.
To handle different levls of a variable between train an test data, three strategies are available:
:full The levels are retrieved from a dataset at key :metamorph.ml/full-ds in the context:independent One-hot columns are fitted and transformed independently for train and test data:fit The mapping fitted in mode :fit is used in :transform, and it is assumed that all levels are present in the data during :fitoptions can be:
:table-args allows to specify the precise mapping as a sequence of pairs of [val idx] or as a sorted seq of values.:result-datatype Datatype of the one-hot-mapping columnTransformer which mapps categorical variables to numbers. Each value of the column gets its won column in one-hot-encoding. To handle different levls of a variable between train an test data, three strategies are available: * `:full` The levels are retrieved from a dataset at key :metamorph.ml/full-ds in the context * `:independent` One-hot columns are fitted and transformed independently for train and test data * `:fit` The mapping fitted in mode :fit is used in :transform, and it is assumed that all levels are present in the data during :fit `options` can be: * `:table-args` allows to specify the precise mapping as a sequence of pairs of [val idx] or as a sorted seq of values. * `:result-datatype` Datatype of the one-hot-mapping column
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