A Machine Learning Toolkit

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Typescript port of the BYU CS 478 machine learning toolkit

Usage

In order to use this toolkit, most commands will be similar to those given on the class website for the Java and C++ toolkits. With the assumption that you already have dependencies installed, usage is straight-forward.

Example

Execute the following commands from the root directory of this repository.

mkdir datasets
wget http://axon.cs.byu.edu/~martinez/classes/478/stuff/iris.arff -P datasets/
node toolkit.manager -L baseline -A datasets/iris.arff -E training

Aside from needing to specify the module to run, commands follow the same syntax as the other toolkits.

For information on the expected syntax, run

python -m toolkit.manager --help

Creating Learners

See BaselineLearner.ts and its BaselineLearner class for an example of the format of the learner. In particular, new learners will need to override the train() and predict() functions of the SupervisedLearner base class.