ClimbsRocks / auto_ml
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master: 56%

LAST BUILD BRANCH: patch-1
DEFAULT BRANCH: master
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LAST BUILD ON BRANCH training_params
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ClimbsRocks 
adjusts upper and lower bounds to be more flexible to noise for grid search sample size smallness

1313 of 1699 relevant lines covered (77.28%)

1.54 hits per line

Relevant lines Covered
1699 RELEVANT LINES 1313 COVERED LINES
1.54 HITS PER LINE
Source Files on training_params
Coverage ∆ File Lines Relevant Covered Missed Hits/Line

Recent builds

Builds Branch Commit Type Ran Committer Via Coverage
87 training_params adjusts upper and lower bounds to be more flexible to noise for grid search sample size smallness push ClimbsRocks travis-ci pending completion  
82 training_params allows the user to pass in their own grid_search_params, which will overwrite our defaults push ClimbsRocks travis-ci pending completion  
81 training_params allows the user to pass in their own training_params, which will be passed into the estimator at init time, overwriting our defaults push ClimbsRocks travis-ci pending completion  
80 training_params adds ability for user to pass in their own training_params to ml_predictor.train() push ClimbsRocks travis-ci pending completion  
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