Partition: blkbox paritioning

In blkbox: Data Exploration with Multiple Machine Learning Algorithms

Description

Prepares data for standard training and testing, data will be split into training and holdout set and output in a list which can be directly supplied to blkbox.

Usage

Partition(data, labels, size, seed)

Arguments

data	A data.frame of the data. Rows represent samples and columns features.
labels	The labels corresponding to the data, order must match with order of rows in data.
size	determines the size of the holdout data, must be a numeric value between 0 and 1 that. Default is 0.8.
seed	Determines the seed used to randomly sample the data by row.

Author(s)

Zachary Davies, Boris Guennewig

Examples

# Partitioning Data
my_partition = Partition(data = my_data,
                         labels = my_labels)
# Creating a Training & Testing Model
model_1 <- blkbox(data = my_partition)

blkbox documentation built on May 2, 2019, 8:32 a.m.