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

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.