Welcome to TrueLearn’s documentation!#
TrueLearn is a machine learning library for modelling lifelong learner engagement with educational resources.
See the Getting Started for a quick introduction to the package.
This file documents all notable changes to the project.
Date format is DD-MM-YYYY.
TrueLearn adheres to Semantic Versioning.
TrueLearn uses the Keep a Changelog format.
TrueLearn 1.1.0 (13-08-2023)
The option to visualise the variance in Bar, Dot, Line plotters. By default this is enabled except in the Line plotter.
Interest Classifier now uses a binary skill representation.
The INK Classifier can now be instantiated using a dictionary of parameters
Added black border to Rose Plotter to make it easier to distinguish topics of similar colour.
Locked the plotly, kaleido and wordcloud dependencies to avoid breaking changes.
Radar plotter doesnt show the variance, due to concerns about the representation of variance being misleading.
Incorrect weights used in INK prediction
Topic label overflow in Bubble plotter. This means that a reasonable number of topics (around 10 to 15) can be plotted for the default image size.
Wordcloud now fully supports Python 3.11
The orjson dependency, as JSON deserialisation is not our bottleneck and the additional dependency is not worth it.
TrueLearn 1.0.0 (14-04-2023)