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hackingmaterials / automatminer

An automatic engine for predicting materials properties.
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Bump tpot from 0.11.0 to 0.11.6.post3 #358

Closed dependabot-preview[bot] closed 3 years ago

dependabot-preview[bot] commented 3 years ago

Bumps tpot from 0.11.0 to 0.11.6.post3.

Release notes

Sourced from tpot's releases.

0.11.6.post3

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

v0.11.6.post2

  • make XGBoost as a required dependency

v0.11.6.post1

  • Refine the logic of checking the type of an operator.

Version 0.11.6

  • 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

v0.11.5

  • Make Pytorch as an optional dependency
  • Refine installation documentation

TPOT v0.11.4 minor release

  • 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.PytorchLRClassifier and tpot.builtins.PytorchMLPClassifier for classification tasks only)
  • Refine log_file parameter's behavior

TPOT v0.11.3 minor release

  • Fix a bug in TPOTRegressor in v0.11.2
  • Add -log option in command line interface to save process log to a file.

TPOT v0.11.2 Minor Release

  • Fix early_stop parameter does not work properly
  • TPOT built-in OneHotEncoder can refit to different datasets
  • Fix the issue that the attribute evaluated_individuals_ cannot record correct generation info.
  • Add a new parameter log_file to output logs to a file instead of sys.stdout
  • Fix some code quality issues and mistakes in documentations
  • Fix minor bugs

TPOT v0.11.1 Minor Release

  • Fix compatibility issue with scikit-learn v0.22
  • warm_start now saves both Primitive Sets and evaluated_pipelines_ from previous runs;
  • Fix the error that TPOT assign wrong fitness scores to non-evaluated pipelines (interrupted by max_min_mins or KeyboardInterrupt) ;
  • Fix the bug that mutation operator cannot generate new pipeline when template is not default value and warm_start is True;
  • Fix the bug that max_time_mins cannot stop optimization process when search space is limited.
  • Fix a bug in exported codes when the exported pipeline is only 1 estimator
  • Fix spelling mistakes in documentations
  • Fix some code quality issues

Covariate adjustments branch

  • Development branch based on TPOT 0.11.1 for adjusting covariate without data leakage.
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dependabot-preview[bot] commented 3 years ago

Superseded by #360.