- Cython optimization for performance –
- Adaptive learning rate – instead of , is used where is the gradient of the associated weight.
- Type correction – change the type of index from
You can upgrade
Kaggler either by using
$ (sudo) pip install -U Kaggler
or from the source at github:
$ git fetch origin
$ git rebase origin/master
$ python setup.py build_ext --inplace
$ (sudo) python setup.py install
I haven’t had a chance to use it with real competition data yet – after the Avazu competition, I deleted whole build directory 🙁 – and I don’t have numbers for how much faster (or slower?!) it becomes after these changes yet.
I will jump into another competition soon, and let you know how it works. 🙂