With lightning, you can train linear models on large-scale data using
recent state-of-the-art optimization algorithms which are too cutting-edge
for including in scikit-learn (e.g., SDCA or SAGA). If you just want to
train a logistic regression on 1000 samples, you don't need lightning :)
Mathieu
I imagine a lot of people might be interested in this, but be in a position
where they need to justify bringing in a new package that mimics sklearn,
rather than just using the linear models that are already available there.
Could you day a but more about how/why this is better?
Thanks!
Fred.
On M
Dear all,
I'm pleased to announce the first public release of lightning (
http://contrib.scikit-learn.org/lightning/).
lightning is a library for large-scale linear classification, regression
and ranking in Python.
Highlights:
* follows the scikit-learn API conventions.
* supports nativ
