label_encode
Encode categories with values between 0 and N-1, where N is the number of unique categories.
In other words, the first category will be assigned the number 0 and the last category a value of N-1.
Usage
The following shows how the step can be used in a recipe.
Examples
Examples
General syntax for using the step in a recipe. Shows the inputs and outputs the step is expected to receive and will produce respectively. For futher details see sections below.
General syntax for using the step in a recipe. Shows the inputs and outputs the step is expected to receive and will produce respectively. For futher details see sections below.
Inputs & Outputs
The following are the inputs expected by the step and the outputs it produces. These are generally
columns (ds.first_name), datasets (ds or ds[["first_name", "last_name"]]) or models (referenced
by name e.g. "churn-clf").
Inputs
Inputs
A categorical column.
Outputs
Outputs
A numeric column where labels have been replaced with values between 0 and N-1.
Configuration
The following parameters can be used to configure the behaviour of the step by including them in
a json object as the last “input” to the step, i.e. step(..., {"param": "value", ...}) -> (output).
Parameters
Parameters
This step doesn’t expect any configuration.