makeFizzbuzzProblem: Fizzbuzz Classification Problem

In ja-thomas/dlbench: Deep Learning Benchmark Problems

Description

This problem is inspired by this blog post http://joelgrus.com/2016/05/23/fizz-buzz-in-tensorflow/. Obviously this is not a serious benchmarking problem, but it isn't totally trivial to solve. Each observation is one number encoded in 32-bit binary. The target if

• "fizz" if the number is dividable by 3.

• "buzz" if the number is dividable by 5.

• "fizzbuzz" if the number is dividable by 15.

• "number" otherwise.

Usage

makeFizzbuzzProblem(n = 10^4, create.task = TRUE)

Arguments

n	[integer(1)] Number of observations to create. Default is 5000L.
create.task	[logical(1)] Should a task be created? If TRUE a mlr classification task (see makeClassifTask is returned. Otherwise a data.frame is returned.

Value

ClassifTask | data.frame.

Examples

 makeFizzbuzzProblem(1, create.task = FALSE)

ja-thomas/dlbench documentation built on May 18, 2019, 7:15 a.m.