folds

A vector of values or a data.table object

nfolds

If x is a vector then TRUE or FALSE indicating whether x's split the class's of x proportionally. If x
is a data.table then <code>stratified</code> should be FALSE or the name of a column in x on which to perform stratification.

stratified

seed


Map an object <code>x</code> into equal (or nearly equal) size folds.
If <code>x</code> is a vector, a matching vector of FoldIDs is returned.
If <code>x</code> is a data.table, a list of partitions of x is returned.


A collection of machine learning helper functions, particularly assisting in the Exploratory Data Analysis phase.
Makes heacy use of the 'data.table' package for optimal speed and memory efficiency. Highlights include a versatile bin_data()
function, sparsify() for converting a data.table to sparse matrix format with one-hot encoding, fast evaluation metrics, and
empirical_cdf() for calculating empirical Multivariate Cumulative Distribution Functions.

folds: Cross Validation Folds

Description

Usage

Arguments

Details

Examples