filter_with_formula
Filter rows using a (pandas-compatible) formula.
Allowed elements in the fomula are column names as well as common operators and values for comparison (strings need to be specified using single quotes, see example below).
For more details about valid formulas see here.
Usage
The following examples show how the step can be used in a recipe.
The first example keeps those rows where the “salary” column is either “low” or “high”:
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).
A formula describing the matching operation to perform on each row.
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