Published May 29, 2020
| Version v0.11.4
Software
Open
EpistasisLab/tpot: TPOT v0.11.4 minor release
Creators
- Weixuan Fu1
- Randy Olson2
- Nathan3
- Grishma Jena
- PGijsbers
- Tom Augspurger4
- Joe Romano1
- PRONOjit Saha
- Sahil Shah
- Sebastian Raschka5
- sohnam
- DanKoretsky
- kadarakos
- Jaimecclin
- bartdp1
- Geoffrey Bradway
- Jose Ortiz6
- Jorijn Jacko Smit
- Jan-Hendrik Menke7
- Michal Ficek8
- Akshay Varik9
- Anderson Chaves
- James Myatt10
- Ted
- Adrian Garcia Badaracco
- Christian Kastner
- Crypto Jerônimo11
- Hristo
- Matthew Rocklin12
- Randy Carnevale
- 1. University of Pennsylvania
- 2. Life Epigenetics, Inc.
- 3. USC
- 4. @ContinuumIO
- 5. UW-Madison
- 6. University of Arizona
- 7. University of Kassel
- 8. Freelancer
- 9. Opex Corporation
- 10. @Tessella
- 11. Crypto Jerônimo's Musings
- 12. NVIDIA
Description
- Add a new built configuration "TPOT NN" which includes all operators in "Default TPOT" plus additional neural network estimators written in PyTorch (currently
tpot.builtins.PytorchLRClassifierandtpot.builtins.PytorchMLPClassifierfor classification tasks only) - Refine
log_fileparameter's behavior
Files
EpistasisLab/tpot-v0.11.4.zip
Files
(2.4 MB)
| Name | Size | Download all |
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md5:0b62de188857b23818048850bd889d92
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2.4 MB | Preview Download |
Additional details
Related works
- Is supplement to
- https://github.com/EpistasisLab/tpot/tree/v0.11.4 (URL)