Usage
The following example shows how the step can be used in a recipe.Examples
Examples
To keep only the first row amongst a set of duplicates, identifying duplicates by inspecting
values in columns “address” and “name”
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
An input dataset to filter.
Outputs
Outputs
A dataset containing the same columns as the input dataset but including or excluding the matched rows.
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
Names of columns used to detect and filter rows containing duplicate values.
If not provided, will inspect all columns. Note that multivalued columns, i.e. those containing lists
of values will always be ignored when searching for duplicates (but will be included in the result).
Array items
Array items
Each item in array.
Which of a duplicate set of rows to keep in the result.
Specifically, whether to keep the first or last row amongst the duplicates.Values must be one of the following:
firstlast
if
true, inverts the row selection.
I.e., only rows being duplicates (in the selected columns) will be included in the resulting dataset.Row sorting before de-duplication.
E.g. when the order of first or last duplicate to retain depends on other variables. If not configured,
no sorting will be performed.
Properties
Properties
Sort column name(s).
These column(s) will be used to sort the dataset before de-duplication (if multiple, in specified order).
Options
Options
null.