761e09d280
The Vowpal Wabbit (VW) project is a fast out-of-core learning system sponsored by Microsoft Research and (previously) Yahoo! Research. There are two ways to have a fast learning algorithm: (a) start with a slow algorithm and speed it up, or (b) build an intrinsically fast learning algorithm. This project is about approach (b), and it's reached a state where it may be useful to others as a platform for research and experimentation. There are several optimization algorithms available with the baseline being sparse gradient descent (GD) on a loss function (several are available). WWW: https://github.com/JohnLangford/vowpal_wabbit/wiki
23 lines
599 B
Plaintext
23 lines
599 B
Plaintext
bin/active_interactor
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bin/library_example
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bin/spanning_tree
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bin/vw
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include/vowpalwabbit/allreduce.h
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include/vowpalwabbit/comp_io.h
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include/vowpalwabbit/config.h
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include/vowpalwabbit/example.h
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include/vowpalwabbit/global_data.h
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include/vowpalwabbit/hash.h
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include/vowpalwabbit/io_buf.h
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include/vowpalwabbit/learner.h
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include/vowpalwabbit/loss_functions.h
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include/vowpalwabbit/parse_primitives.h
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include/vowpalwabbit/parser.h
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include/vowpalwabbit/simple_label.h
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include/vowpalwabbit/v_array.h
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include/vowpalwabbit/vw.h
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include/vowpalwabbit/vwdll.h
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lib/liballreduce.a
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lib/libvw.a
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lib/libvw_c_wrapper.a
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