tpot: Support for regression problems
Creators
- 1. University of Pennsylvania
- 2. Knowledge Lab
- 3. Michigan State University
- 4. Commonwealth Bank
- 5. @betteroutcomes
Description
TPOT now supports regression problems! We have created two separate TPOTClassifier and TPOTRegressor classes to support classification and regression problems, respectively. The command-line interface also supports this feature through the -mode parameter.
TPOT now allows you to specify a time limit for the optimization process with the max_time_mins parameter, so you don't need to guess how long TPOT will take any more to recommend a pipeline to you.
Added a new operator that performs feature selection using ExtraTrees feature importance scores.
XGBoost has been added as an optional dependency to TPOT. If you have XGBoost installed, TPOT will automatically detect your installation and use the XGBoostClassifier and XGBoostRegressor in its pipelines.
TPOT now offers a verbosity level of 3 ("science mode"), which outputs the entire Pareto front instead of only the current best score. This feature may be useful for users looking to make a trade-off between pipeline complexity and score.
Files
tpot-v0.6.zip
Files
(2.2 MB)
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md5:c51ddf665098765ab35c6f2107bb503c
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Additional details
Related works
- Is supplement to
- https://github.com/rhiever/tpot/tree/v0.6 (URL)