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
Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.
Dependabot commands and options
You can trigger Dependabot actions by commenting on this PR:
- `@dependabot rebase` will rebase this PR
- `@dependabot recreate` will recreate this PR, overwriting any edits that have been made to it
- `@dependabot merge` will merge this PR after your CI passes on it
- `@dependabot squash and merge` will squash and merge this PR after your CI passes on it
- `@dependabot cancel merge` will cancel a previously requested merge and block automerging
- `@dependabot reopen` will reopen this PR if it is closed
- `@dependabot close` will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually
- `@dependabot ignore this major version` will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself)
- `@dependabot ignore this minor version` will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself)
- `@dependabot ignore this dependency` will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)
- `@dependabot use these labels` will set the current labels as the default for future PRs for this repo and language
- `@dependabot use these reviewers` will set the current reviewers as the default for future PRs for this repo and language
- `@dependabot use these assignees` will set the current assignees as the default for future PRs for this repo and language
- `@dependabot use this milestone` will set the current milestone as the default for future PRs for this repo and language
- `@dependabot badge me` will comment on this PR with code to add a "Dependabot enabled" badge to your readme
Additionally, you can set the following in your Dependabot [dashboard](https://app.dependabot.com):
- Update frequency (including time of day and day of week)
- Pull request limits (per update run and/or open at any time)
- Automerge options (never/patch/minor, and dev/runtime dependencies)
- Out-of-range updates (receive only lockfile updates, if desired)
- Security updates (receive only security updates, if desired)
Bumps tpot from 0.11.0 to 0.11.7.
Release notes
Sourced from tpot's releases.
Commits
6448bdbMerge pull request #1159 from EpistasisLab/development5020c7bversion 0.11.789ef24aMerge pull request #1158 from weixuanfu/sklearn024cad11abadd support for scikit-learn0.24247a158Merge pull request #1143 from weixuanfu/issue1142e2eb3e7fix bug2384bf2fix conflictsac595dcfor fixing a bug for the issue #11421e60942Update _version.py0b444a6Merge pull request #1141 from weixuanfu/issue1139Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting
@dependabot rebase.Dependabot commands and options
You can trigger Dependabot actions by commenting on this PR: - `@dependabot rebase` will rebase this PR - `@dependabot recreate` will recreate this PR, overwriting any edits that have been made to it - `@dependabot merge` will merge this PR after your CI passes on it - `@dependabot squash and merge` will squash and merge this PR after your CI passes on it - `@dependabot cancel merge` will cancel a previously requested merge and block automerging - `@dependabot reopen` will reopen this PR if it is closed - `@dependabot close` will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually - `@dependabot ignore this major version` will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this minor version` will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this dependency` will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself) - `@dependabot use these labels` will set the current labels as the default for future PRs for this repo and language - `@dependabot use these reviewers` will set the current reviewers as the default for future PRs for this repo and language - `@dependabot use these assignees` will set the current assignees as the default for future PRs for this repo and language - `@dependabot use this milestone` will set the current milestone as the default for future PRs for this repo and language - `@dependabot badge me` will comment on this PR with code to add a "Dependabot enabled" badge to your readme Additionally, you can set the following in your Dependabot [dashboard](https://app.dependabot.com): - Update frequency (including time of day and day of week) - Pull request limits (per update run and/or open at any time) - Automerge options (never/patch/minor, and dev/runtime dependencies) - Out-of-range updates (receive only lockfile updates, if desired) - Security updates (receive only security updates, if desired)