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| author | David Luevano <55825613+luevano@users.noreply.github.com> | 2020-01-23 18:59:34 -0700 |
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| committer | David Luevano <55825613+luevano@users.noreply.github.com> | 2020-01-23 18:59:34 -0700 |
| commit | 6e9b439d4b3d303b246d9e66b3ed3852e3fad9a5 (patch) | |
| tree | e9c04b1af5552fc149f26553e7e53735f57cf435 /lj_matrix/__main__.py | |
| parent | 5a48f2e69e301875c7d86f40ae1dab5d27f7fd0f (diff) | |
Rename lj_matrix to ml_exp
Diffstat (limited to 'lj_matrix/__main__.py')
| -rw-r--r-- | lj_matrix/__main__.py | 38 |
1 files changed, 0 insertions, 38 deletions
diff --git a/lj_matrix/__main__.py b/lj_matrix/__main__.py deleted file mode 100644 index 688e5adcc..000000000 --- a/lj_matrix/__main__.py +++ /dev/null @@ -1,38 +0,0 @@ -"""MIT License - -Copyright (c) 2019 David Luevano Alvarado - -Permission is hereby granted, free of charge, to any person obtaining a copy -of this software and associated documentation files (the "Software"), to deal -in the Software without restriction, including without limitation the rights -to use, copy, modify, merge, publish, distribute, sublicense, and/or sell -copies of the Software, and to permit persons to whom the Software is -furnished to do so, subject to the following conditions: - -The above copyright notice and this permission notice shall be included in all -copies or substantial portions of the Software. - -THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR -IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, -FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE -AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER -LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, -OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE -SOFTWARE. -""" -from lj_matrix.do_ml import do_ml -# from lj_matrix.misc import plot_benchmarks - -if __name__ == '__main__': - do_ml(min_training_size=1500, - max_training_size=2000, - training_increment_size=500, - test_size=None, - ljm_diag_value=None, - ljm_sigma=1.0, - ljm_epsilon=1.0, - r_seed=111, - save_benchmarks=False, - show_msgs=True) - # plot_benchmarks() - print('OK!') |