Bump tpot from 0.11.0 to 0.11.7

[dependabot-preview]

Bumps tpot from 0.11.0 to 0.11.7.

Release notes

Sourced from tpot's releases.

v0.11.7 minor release

• 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

• 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

Commits

• 6448bdb Merge pull request #1159 from EpistasisLab/development
• 5020c7b version 0.11.7
• 89ef24a Merge pull request #1158 from weixuanfu/sklearn024
• cad11ab add support for scikit-learn0.24
• 247a158 Merge pull request #1143 from weixuanfu/issue1142
• e2eb3e7 fix bug
• 2384bf2 fix conflicts
• ac595dc for fixing a bug for the issue #1142
• 1e60942 Update _version.py
• 0b444a6 Merge pull request #1141 from weixuanfu/issue1139
• Additional commits viewable in compare view

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