openla-feature-representation 0.1.0a3

A Python module that adds features to OpenLA data to make it easier to use for ML

openla-feature-representation: generate features EventStream data

Introduction

openla-feature-representation is an open-source Python module that generates features from OpenLA EventStream data to make the data easier to use for ML.

Installation

Until this module is available on PyPI or as a release on the GitHub repository, we recommend building a wheel using poetry and installing that file using pip:

poetry build
pip install dist/openla_feature_representation-0.1.0-py3-none-any.whl

Usage

This is how to call the constructor:

E2Vec(fT_model_path, EduData, course_id)

• fT_model_path is the path to a fastText language model trained for this task
• EduData is the path to a directory with the dataset (see below)
• course_id is a string to identify files for the course to analyze within the EduData directory

After that, all methods the class provides can be used.

Datasets for OpenLA

This module uses data in the same format as OpenLA. Please refer to the OpenLA documentation for further information.