Comments (2)
Hi @hawkerpl!
Crap, thanks for pointing that out. I just refactored to use requirements.txt, but I've got a longstanding .gitignore block on all .txt files, so it didn't get uploaded. I just pushed it up as soon as I saw your comment.
I'll go through and do a couple test installs on various computers momentarily, and be back with anything else I find. I'll be around all day if you want to try again with some support!
from machinejs.
I just tested this out on two different systems, and it appears to install cleanly now that requirements.txt has been pushed up. Thanks for reporting that! Again, I'll be around all day and I'd love to hear what other issues you run into as you get started on this.
I'm going through and simplifying the getting started documentation right now, so I'm highly receptive to any comments you have :)
from machinejs.
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
- stop training after a single round if a model is performing very poorly
- Store validation score in file for ensemble learning HOT 2
- Questions on hyperparameter distributions and validation percentage
- MultinomialNB fails when features have negative values HOT 2
- Windows multithreading doesn't work
- List index out of range
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