28a98464ea
Previously, users of evaluator (`CrossValidator` and `TrainValidationSplit`) would only maximize the metric in evaluator, leading to a hacky solution which negated metrics to be minimized and caused erroneous negative values to be reported to the user. This PR adds a `isLargerBetter` attribute to the `Evaluator` base class, instructing users of `Evaluator` on whether the chosen metric should be maximized or minimized. CC jkbradley Author: Feynman Liang <fliang@databricks.com> Author: Joseph K. Bradley <joseph@databricks.com> Closes #8290 from feynmanliang/SPARK-10097. |
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| .. | ||
| param | ||
| __init__.py | ||
| classification.py | ||
| clustering.py | ||
| evaluation.py | ||
| feature.py | ||
| pipeline.py | ||
| recommendation.py | ||
| regression.py | ||
| tests.py | ||
| tuning.py | ||
| util.py | ||
| wrapper.py | ||