2 karma · joined January 7, 2015
Super easy automated machine learning in Python. Fast enough to run at production speeds. I'm the author, and would love any feedback you have! The whole point of the project is to make ML available to people like you who just like building things, and think their thing could be better with a bit of ML.
https://github.com/ClimbsRocs/auto_ml
My dad keeps asking me how I plan on making money from this project, given the amount of effort I've poured into it. He grew even more confused once I told him that a company called DataRobot raised over a hundred million dollars to build essentially the same product.
But it just brings me joy to make ML available to everyone.
If you have any feedback, please let me know! I'd love to know how I can make automl better for you.
Keras now throws errors when trying to use some of the metrics they've deprecated. If you run into `UnboundLocalError: local variable 'class_name' referenced before assignment`, check that all your metrics are supported.
Keras also now ignores `nb_epoch` in favor of `epochs`. I must have misread the blog post, because I thought it would support `nb_epoch` for a bit and just use that in place of `epochs`.
I'm currently quite deep into Javascript/Node, and am already comfortable with functional programming. Next I'm looking to gain more data abilities, and had assumed Python would be the natural next step. You're making me wonder whether Clojure would be a smarter step, though I am concerned that most of the jobs still appear to be in Python.