Warning
This repository has been archived and is no longer maintained. The code is provided for historical reference and may contain unpatched or unknown vulnerabilities. It should not be used in production systems.
Scramble was designed to deal with heterogeneous n values in modeling classes. This can occur when sample sizes differ between the classes the model is trying to identify. A reality of data that is gathered from real world environments. Scramble takes the principle of cross-validation, that resampling of data sets is critical to accurately estimate model accuracy during the training and testing process and utilizes the principle in the module’s functions. Scramble requires a user to provide the number of iterations (eg., 5). The module will then randomize each model class k number of times and then split the resulting randomize data sets along a user designated percentage training/testing split (eg., 80 % training and 20% testing). The module will then activate the user designated machine learning model they wish to use. This process will then be repeated k number of times. While this process is occurring Scramble will record progress and output them to the user’s IDLE console.
A little history. Scramble was originally developed for a computer vision project. The version of Scramble pushed to this repo uses labels and directory system structures inspired by the Functional Map of the World (fMoW) data set. https://github.com/fMoW/dataset
A note to potential users. Scramble was developed during the course of a low TRL R&D project. As such this code base has been thoroughly tested and used. However, the code base is not polished, and you will have to update a few variables for the code to work for your use case. All required updates are flagged in comments in the code.
Scramble performs cross-validation for n number of times. Ideally giving users a better idea of how their models will perform in a real world environment.
Scramble will work with the standard Python 3 install
Elizabeth Klaehn
Go check out our lovely License doc.
At this time no further development of Scramble is planned.