time.partition: Create time sensitive partitions

In XanderHorn/lazy: Automated data pre-processing and machine learning

Description

Partitions data according to a time based feature for time sensitive datasets

Usage

## S3 method for class 'partition'
time(data, time.feature, valid.sample.size = 0.3)

Arguments

data	[required | data.frame] Dataset to partition
time.feature	[required | character] Time feature present in dataset
valid.sample.size	[required | numeric | default=0.3]

Value

List with train and validation row indices

Author(s)

Xander Horn

Examples

new.iris <- iris
new.iris$date <- seq(ISOdate(2019,1,1), by = "day", length.out = nrow(new.iris))
splits <- time.partition(new.iris, "date")

XanderHorn/lazy documentation built on Jan. 16, 2021, 6:15 p.m.