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Axelrod-Python / axelrod-dojo / 13 / 2
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master: 86%

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DEFAULT BRANCH: master
Ran 05 Aug 2017 02:59PM UTC
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05 Aug 2017 02:57PM UTC coverage: 92.857% (+0.05%) from 92.808%
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Add weights to objective (#28)

* Use numpy average in score_params.

This is with a view to use the weights so that we can weight scoring
according to weights for each opponent.
(Mainly to be able to use the regression model type work in Axelrod's
second paper.)

* Write tests for weights in utils.score_params.

* Add ability to weight opponents.

This is with a view to use the coefficients from the regression analysis
in the training.

* Remove tqdm

273 of 294 relevant lines covered (92.86%)

0.93 hits per line

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