FMLearn implementation using the K Nearest Neighbor algorithm, specifically sci-kit learn's KNeighborsClassifier.
This release also introduces additional features like:
- #12 force new model to be trained once data has been reloaded.
- #13 throw error if the data is not loaded before training.
- #14 check the shape of the input data frame.
- #15 force retrain of the model if the model is older than a set time frame.
And bug fixes like:
- #17 Heroku deployment failed: reason - empty database.
- #18 prediction of an algorithm when no model/dataset exists (cold start problem)
- #19 when to load the data and train model for the first time
This is also the first release after the publication of my paper, and hence an update to the website including the details of the publication.