Published November 5, 2019
| Version v0.11.0
Software
Open
EpistasisLab/tpot: Version 0.11.0
Creators
- Randy Olson1
- Weixuan Fu2
- Nathan3
- PGijsbers
- Grishma Jena
- Tom Augspurger4
- PRONOjit Saha
- Sebastian Raschka5
- sahilshah1194
- sohnam
- DanKoretsky
- kadarakos
- Geoffrey Bradway
- bartdp1
- Jose Ortiz6
- Michal Ficek7
- Akshay Varik2
- Ted
- James Myatt8
- screwed99
- Matt Ritter
- kamalasaurus
- Randy Carnevale
- Matthew Rocklin9
- Hristo
- David Cottrell
- Bharat Raghunathan
- Alexander Whipp10
- 1. Life Epigenetics, Inc.
- 2. University of Pennsylvania
- 3. USC
- 4. @ContinuumIO
- 5. UW-Madison
- 6. University of Arizona
- 7. Freelancer
- 8. @Tessella
- 9. NVIDIA
- 10. @booz-allen-hamilton
Description
- Support for Python 3.4 and below has been officially dropped. Also support for scikit-learn 0.20 or below has been dropped.
- The support of a metric function with the signature
score_func(y_true, y_pred)
forscoring parameter
has been dropped. - Refine
StackingEstimator
for not stacking NaN/Infinity predication probabilities. - Fix a bug that population doesn't persist by
warm_start=True
whenmax_time_mins
is not default value. - Now the
random_state
parameter in TPOT is used for pipeline evaluation instead of using a fixed random seed of 42 before. Theset_param_recursive
function has been moved toexport_utils.py
and it can be used in exported codes for settingrandom_state
recursively in scikit-learn Pipeline. It is used to setrandom_state
infitted_pipeline_
attribute and exported pipelines. - TPOT can independently use
generations
andmax_time_mins
to limit the optimization process through using one of the parameters or both. .export()
function will return string of exported pipeline if output filename is not specified.- Add
SGDClassifier
andSGDRegressor
into TPOT default configs. - Documentation has been updated.
- Fix minor bugs.
Files
EpistasisLab/tpot-v0.11.0.zip
Files
(2.5 MB)
Name | Size | Download all |
---|---|---|
md5:a05c7b58e085649a8818bec18ea18313
|
2.5 MB | Preview Download |
Additional details
Related works
- Is supplement to
- https://github.com/EpistasisLab/tpot/tree/v0.11.0 (URL)