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Usage

The following examples show how the step can be used in a recipe.

Examples

You can subset the columns to be included in the project in two ways. To explicitly include the columns you want to preserve using a list of their names:
create_project(ds[["column_1", "keep_column_2"]])

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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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ds
dataset
required
A dataset containing the columns to be included in the project visualization.

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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

This step doesn’t expect any configuration.