Tpot Versions Save

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

v0.12.2

2 months ago

What's Changed

New Contributors

Full Changelog: https://github.com/EpistasisLab/tpot/compare/v0.12.1...v0.12.2

v0.12.1

8 months ago

Fixes issue with runs terminating too early

What's Changed

v0.12.0

11 months ago
  • Fix numpy compatibility
  • Dask optimizations
  • Minor bug fixes

v0.11.7

3 years ago
  • Fix compatibility issue with scikit-learn 0.24 and xgboost 1.3.0
  • Fix a bug causing that TPOT does not work when classifying more than 50 classes
  • Add initial support Resampler from imblearn
  • Fix minor bugs

0.11.6.post3

3 years ago
  • A patch to fix compatibility issues with the latest version of xgboost (v1.3.0)

v0.11.6.post2

3 years ago
  • make XGBoost as a required dependency

v0.11.6.post1

3 years ago
  • Refine the logic of checking the type of an operator.

0.11.6

3 years ago
  • Fix a bug causing point mutation function does not work properly with using template option
  • Add a new built configuration called "TPOT cuML" which TPOT will search over a restricted configuration using the GPU-accelerated estimators in RAPIDS cuML and DMLC XGBoost. This configuration requires an NVIDIA Pascal architecture or better GPU with compute capability 6.0+, and that the library cuML is installed.
  • Add string path support for log/log_file parameter
  • Fix a bug in version 0.11.5 causing no update in stdout after each generation
  • Fix minor bugs

v0.11.1-resAdj

3 years ago
  • Development branch based on TPOT 0.11.1 for adjusting covariate without data leakage.

v0.11.5

3 years ago
  • Make Pytorch as an optional dependency
  • Refine installation documentation