dfs: Deep Feature Synthesis

In magnusfurugard/featuretoolsR: Interact with the 'Python' Module 'Featuretools'

Description

The main function from featuretools used to create new features.

Usage

dfs(entityset, target_entity, agg_primitives = NULL,
  trans_primitives = NULL, max_depth = 2L, ...)

Arguments

entityset	The entityset on which to perform dfs.
target_entity	The name of the entity on which to perform dfs.
agg_primitives	Primitives passed to relational data.
trans_primitives	Primitives passed to non-relational data.
max_depth	Controls the maximum depth of features.
...	Additional parameters passed to 'featuretools.dfs'.

Value

A 'featuretools' feature matrix.

Examples

es <- as_entityset(cars, index = "row_number")
dfs(es, target_entity = "df1", trans_primitives = c("and"))

magnusfurugard/featuretoolsR documentation built on April 27, 2020, 11:36 p.m.