create_project
Prepare project using the final dataset.
Usage
The following examples show how the step can be used in a recipe.
Examples
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:
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:
Alternatively, explicitly exclude columns you are not interested in, using the negation ”!”:
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 dataset containing the columns to be included in the project visualization.
Outputs
Outputs
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.