One Hot Encoder Advanced Transform =========== Maps a column of label indices to a column of binary vectors, with at most a single one-value Input -------------- It takes in a DataFrame and transforms it to another DataFrame Output -------------- The output DataFrame contains a new column which contains the mapping of a column of label indices to a column of binary vectors, with at most a single one-value. Type --------- ml-predict Class --------- fire.nodes.ml.NodeOneHotEncoderAdvancedTransform Fields --------- .. list-table:: :widths: 10 5 10 :header-rows: 1 * - Name - Title - Description Details ------- One Hot Encoder Advanced Transform Node Details +++++++++++++++ The One Hot Encoder Advanced Transform Node is used to map a column of label indices to a column of binary vectors, with at most a single one-value. It takes in an input DataFrame and transforms it to another DataFrame. It also takes in a fit model as input, which is typically the output of a previous One Hot Encoder Advanced Estimator Node. The transformed DataFrame contains a new column with the mapping of a column of label indices to a column of binary vectors, with at most a single one-value. Input Parameters +++++++++++++++ FIT MODEL : The output of a previous One Hot Encoder Advanced Estimator Node, which contains the information about the column to be encoded and the specifications for the encoding. Examples ------- One Hot Encoder Advanced Transform Node Example +++++++++++++++ Consider the following example, where we have a DataFrame with a column 'color' containing categorical values. We use a One Hot Encoder Advanced Estimator Node to specify the column to be encoded and the specifications for the encoding, creating a fit model. Then, we use the One Hot Encoder Advanced Transform Node to transform the 'color' column using the fit model. Input DataFrame: id color 1 red 2 green 3 blue Output id color color_encoded 1 red [1.0, 0.0, 0.0] 2 green [0.0, 1.0, 0.0] 3 blue [0.0, 0.0, 1.0] In this example, the input column is 'color' and the output column is 'color_encoded'. The fit model is created using the One Hot Encoder Advanced Estimator Node. The One Hot Encoder Advanced Transform Node uses this fit model to transform the 'color' column, creating a new column 'color_encoded' with the binary vectors of the encoded values.