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FMLearn implementation using K Nearest Neighbor #16

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merged 15 commits into from
Jul 20, 2020
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FMLearn implementation using the K Nearest Neighbor algorithm, specifically sci-kit learn's KNeighborsClassifier.

This PR 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.

@mukeshmk mukeshmk added the enhancement New feature or request label Jul 20, 2020
@mukeshmk mukeshmk self-assigned this Jul 20, 2020
@mukeshmk mukeshmk merged commit 09060dc into master Jul 20, 2020
@mukeshmk mukeshmk deleted the wip-fmlearn branch July 20, 2020 08:14
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