Related Issues (20)
- add in more linear models
- reduce number of times we train each model HOT 1
- Blog Post Series: How to customize machineJS
- new installation script HOT 1
- tag some of these issues as quick wins and steadily knock them out
- add in a table showing an example dataDescription for the .csv files
- update documentation to make it stupid easy to get started with
- generally simplify documentation
- verify we're running RandomizedSearchCV only once for each model during the ensembler round HOT 1
- send an email out with updates
- bump down the boost for numRounds for linear models HOT 1
- investigate how we handle skipping an algo HOT 1
- for the validationRound, write the score from the hyperparameter search, not the final training run HOT 2
- Error in installation guide HOT 2
- stop training after a single round if a model is performing very poorly
- Store validation score in file for ensemble learning HOT 2
- MultinomialNB fails when features have negative values HOT 2
- Windows multithreading doesn't work
- List index out of range
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