GitHub - timvieira/lazygrad: Lazily regularized updates for Adagrad with sparse features. Implemented in Cython for efficiency.

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Lazily regularized updates for Adagrad with sparse features. Implemented in Cython for efficiency.

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Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
lazygrad		lazygrad
.hgignore		.hgignore
Makefile		Makefile
README		README
setup.py		setup.py

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Lazily regularized updates for Adagrad with sparse features. Implemented in Cython for efficiency.

Compile and install

$ pip install -e .

Run test
$ python -c 'import lazygrad.adagrad as a; a.test()'

Implementation is based on

Kummerfeld et al. 2015, "An Empirical Analysis of Optimization for Max-Margin NLP"