configure_category_colors
Configures the color of the categories of a categorical or text column.
Usage
The following example shows how the step can be used in a recipe.
Change the colors of the category ‘positive’ to white, ‘negative’ to black and ‘neutral’ to green
Change the colors of the category ‘positive’ to white, ‘negative’ to black and ‘neutral’ to green
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"
).
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)
.
Category colors. A mapping of category names to colors.
Values must match the following regex pattern:
Was this page helpful?