DSD_mlbenchData: Stream Interface for Data Sets From mlbench

In stream: Infrastructure for Data Stream Mining

Stream Interface for Data Sets From mlbench

Description

Provides a convenient stream interface for data sets from the mlbench package.

Usage

DSD_mlbenchData(data = NULL, loop = FALSE, random = FALSE, scale = FALSE)

Arguments

data	The name of the dataset from mlbench. If missing then a list of all available data sets is shown and returned.
loop	logical; loop or not to loop over the data frame.
random	logical; should the data be used a random order?
scale	logical; apply scaling to the data?

Details

The DSD_mlbenchData class is designed to be a wrapper class for data from the mlbench package.

All data is held in memory in either data frame or matrix form. It is served as a stream using the DSD_Memory class. The stream can be reset to position 1 using reset_stream().

Call DSD_mlbenchData with a missing value for data to get a list of all available data sets.

Value

Returns a DSD_mlbenchData object which is also of class DSD_Memory.

Author(s)

Michael Hahsler and Matthew Bolanos

See Also

Other DSD: DSD_BarsAndGaussians(), DSD_Benchmark(), DSD_Cubes(), DSD_Gaussians(), DSD_MG(), DSD_Memory(), DSD_Mixture(), DSD_NULL(), DSD_ReadDB(), DSD_ReadStream(), DSD_Target(), DSD_UniformNoise(), DSD_mlbenchGenerator(), DSD(), DSF(), animate_data(), close_stream(), get_points(), plot.DSD(), reset_stream()

Examples

DSD_mlbenchData()

stream <- DSD_mlbenchData("Shuttle")
stream

get_points(stream, n = 5)

plot(stream, n = 100)

stream documentation built on March 7, 2023, 6:09 p.m.