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Usage

The following example shows how the step can be used in a recipe.

Examples

Change the colors of the category ‘positive’ to white, ‘negative’ to black and ‘neutral’ to green
configure_category_colors(ds.sentiment, {
    "postive": "#FFFFFF",
    "negative": "#000000",
    "neutral": "#00ff00" 
})

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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").
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column
column[category|list[category]|text|boolean|list[boolean]]
required
Column to be configured.

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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

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Items
string
Category colors. A mapping of category names to colors.Values must match the following regex pattern:
^#([a-fA-F0-9]{6}|[a-fA-F0-9]{3})$