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scikit-learn-contrib / polylearn / 82
97%

Build:
DEFAULT BRANCH: master
Ran 21 Dec 2016 04:57PM UTC
Jobs 1
Files 13
Run time 1s
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Pull #8

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Update scaling and initialization.

Regularization scaling is now ON by default. I think this is
sensible, because it keeps the choice independent of data split.

Adagrad seems very sensitive to the initial norm of P, so I changed
the init to have unit variance rather than 0.01.
Makes benchmark more reasonable but norms are still weird.
Finnicky tests (fm warm starts) had to be updated, but most
things behave well.
Pull Request #8: [WIP] Adagrad solver for arbitrary orders.

197 of 197 new or added lines in 8 files covered. (100.0%)

946 of 971 relevant lines covered (97.43%)

0.97 hits per line

New Missed Lines in Diff

Lines Coverage ∆ File
1
100.0
polylearn/tests/test_adagrad.py
1
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polylearn/tests/test_common.py
6
100.0
polylearn/factorization_machine.py

Uncovered Existing Lines

Lines Coverage ∆ File
2
100.0
polylearn/tests/test_factorization_machine.py
2
100.0
polylearn/factorization_machine.py
4
100.0
polylearn/tests/test_common.py
Jobs
ID Job ID Ran Files Coverage
2 82.2 (DISTRIB="conda" PYTHON_VERSION="3.5" COVERAGE="true" NUMPY_VERSION="1.10.4" SCIPY_VERSION="0.17.0" CYTHON_VERSION="0.23.4" SKLEARN_VERSION="0.17.1") 21 Dec 2016 04:57PM UTC 0
97.43
Travis Job 82.2
Source Files on build 82
Detailed source file information is not available for this build.
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