dm_learn: DM Learn

Description Usage Arguments

View source: R/dm_functions.R

Description

Implements different data mining algorithms (SVM, CIT and DT).

Usage

1
2
dm_learn(raw_data, model_name = "svm", CallPut = "call", randseed = 0,
  export_plots = FALSE, ...)

Arguments

raw_data

The option data set given in the format of uslfin_ds_1.

model_name

The name of the data mining model to use. Currently there are three options: Support Vector Machine ("svm") of e1071 package, Decision Tree ("dt") of rpart package and Conditional Inference Tree ("cit") of the partykit package.

CallPut

It denotes whether to use the call or put options.

randseed

To set the randomness seed to a known value. Good for reproducibility.

...

Parameters to pass to data mining algorithm functions. (See individual functions for further explanations.)


learnfin/learnfin documentation built on May 21, 2017, 10:34 a.m.