diff --git a/.github/workflows/check-changelog.yaml b/.github/workflows/check-changelog.yaml
new file mode 100644
index 00000000..9f85cd92
--- /dev/null
+++ b/.github/workflows/check-changelog.yaml
@@ -0,0 +1,32 @@
+name: check-changelog
+
+on:
+  push:
+    branches:
+      - master
+
+jobs:
+  changelog:
+    runs-on: ubuntu-latest
+
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v4
+        with:
+          fetch-depth: 0
+
+      - name: Install git-cliff
+        uses: taiki-e/install-action@v2
+        with:
+          tool: git-cliff
+
+      - name: Check Changelog for New Updates
+        run: |
+          if git diff --quiet origin/master..HEAD -- CHANGELOG.md; then
+            echo "No changes in CHANGELOG.md detected. Please update the changelog, suggested changes: ▶️▶️▶️"
+            CHANGES=$(git-cliff origin/master..HEAD)
+            echo "$CHANGES"
+            exit 1
+          else
+            echo "CHANGELOG.md has been updated. ✅"
+          fi
diff --git a/CHANGELOG.md b/CHANGELOG.md
new file mode 100644
index 00000000..f0ff74b2
--- /dev/null
+++ b/CHANGELOG.md
@@ -0,0 +1,1917 @@
+# Changelog
+
+All notable changes to this project will be documented in this file.
+
+The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
+and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
+
+## [Unreleased]
+
+### Added
+- Add changelog and the workflow
+
+### Changed
+- Use git-cliff for tracing changes
+- Update ifbo dependency version in pyproject.toml
+- Remove global (cross-worker) stopping criteria
+- Enhancing analysis docs discoverability
+- Import pre-evaluated trials
+- Cache uv prune unused wheels
+
+### Fixed
+- A test
+- Update ifbo dependency version in pyproject.toml
+- Docs & remove .trace.lock
+- Update contributors
+
+### Removed
+- Remove write_summary_to_disk
+
+## [0.14.0] - 2025-09-16
+
+### Added
+- Add ask and tell Documentations
+- Add ask and tell example
+- Add primo to algorithms
+- Add primo
+- Add primo
+- Add primo
+- Added trajectory and best incumbent. Solved warning in plot
+- Added documentation and logging of incumbent
+- Add requires_prior test case
+- Add noqa comments to suppress linting warnings in algorithms and bayesian optimization modules
+- Add tests fail comment
+
+### Changed
+- Bump version: 0.13.0 → 0.14.0
+- Update Contributors
+- Async Saving Evaluation Result
+- Change Worker ID
+- Make defualt worker-id shorter
+- Make worker id chosen by user
+- Txt files fidelity stopping crit
+- Fix Async and HB brackets
+- Numpy>=2
+- Modify tests for MOMF opts
+- Allow None confidence centers for MO priors
+- Update primo
+- Add PriMO
+- Change tests for MO
+- Update api with MO and fix runtime issues
+- Numpy version update
+- Example fixed
+- Fixed tests
+- Fixed trace error in case of multiple runs
+- Logging messages changed
+- Merged branch with new txt files
+- Merge remote-tracking branch 'origin/master' into trace_csv_file
+- Neps.plot fixed
+- Rename overwrite_working_directory => overwrite_root_directory
+- Fixed multi-fidelity stopping criteria
+- Optimizer - fidelities to spend
+- Mf example
+- Introduction of fidelities_to_spend
+- Renaming max_cost_total to cost_to_spend
+- Renaming max_evalutaions_total to evaluations_to_spend
+- Multi-objective algorithms
+- Upgrade to Python 3.13
+- Fidelity and prior compatibility checks in optimization algorithms
+- Update Documentation
+- Enhances fidelity handling in optimization algorithms
+- Assign trial_report to trial in tell and tell_custom
+- Add Multi-objective Bayesian Optimization using qLNEHVI
+- Add Multiobjective algorithms: syne-tune apache license
+- Add MO_Hyperband
+- Add MOASHA - add MOASHA to test neps state
+- Add MOASHA - add optimizer in algorithms and modify bracketoptimizer
+- Add MOASHA - add epsnet MO promotion strategy
+- Add MOASHA - multi-objective brackets for promotion using MO strategies
+- Clip decoded value oveflow after torch.exp
+- Update LICENSE
+- Update LICENSE
+
+### Fixed
+- Fix Multi-fidelity algorithms
+- HyperBand bracket priority
+- Skip tests for PriMO for now
+- Fix more ruff-formatting
+- Fix ruff-format in status.py
+- Disable info_dict logging
+- Disable info_dict logging
+- Fix CONTRIBUTING.md headers
+- 123-optimizers-multifidelity-algorithms-should-check-for-min_budget-0
+- Allow partial priors
+- Allow partial priors in priors test
+- Partial priors in space
+- Merge branch 'master' into neps-mo
+- Trial_report not being updated in Ask-Tell
+- Clarify prior parameter requirements and error handling in documentation
+- Simplify error message formatting in random_search function
+- Improve error messages for prior usage in optimization functions
+- Set default value for ignore_fidelity in grid_search function
+- Insert pibo in requires prior in tests
+- Tensor decoded value overflow for parameters with log
+- Tensor decoded values overflow for parameters with log with torch.float64
+
+### Removed
+- Remove upper bounds clip warning
+- Removed info_dict from logging
+- Removed comment
+- Remove cli
+- Remove roadmap and fix contributing docs
+- Remove extras from prior test
+
+## [0.13.0] - 2025-04-11
+
+### Added
+- Adding only incumbent tblogger and docs
+- Add mypy error ignore comments for portalocker lock module attributes, making pre-commit usable again
+- Add image, removed code from README
+- Added image-segmentation example
+- Added image-segmentation pipeline example
+- Added landing page
+- Added FSDP examples with Neps
+- Added FSDP examples with Neps
+- Add warning if no stopping criterion are set
+- Added native Pytorch DDP example with neps
+- Added example for DDP with PyTorch Lightning
+- Added support for PyTorch Lightning in the DDP backend.
+- Added BOHB tips
+- Add more details and links
+- Add equation support
+- Add more content and image captions
+- Add images and SH explanation
+- Added ifBO, changed graph
+- Added diagram
+- Added optimizer pages outline
+- Add python 3.12 support
+- Add ifbo
+- Add cli to declarative usage docs + add declarative usage to README
+- Add run-pipeline to neps run cli argument
+- Add template of 'run_args' to neps init + add pipeline_space to neps run arguments
+
+### Changed
+- Bump version: 0.12.2 → 0.13.0
+- NePS tblogger feature refactoring
+- Updating Docs
+- Fix exception handling with tblogger
+- Handle TensorBoard tracking errors and disable feature
+- Running end trial callbacks under lock
+- NePS tblogger feature refactoring
+- Enhance optimizer documentation and structure
+- Real world examples
+- Updated optimizer.md to reflect recent changes to how optimizers are defined, passed and configured. Removed mentions of yaml-based customization.
+- Finished restructuring algorithm pages
+- Catch up optimizers page with changes to neps.run
+- Landing page for algorithm section
+- Merge remote-tracking branch 'origin/master' into optimizers_documentation
+- TOC in Getting Started
+- Cut down MF and Prior explanation
+- Expandable boxes
+- Algorithms as chapter point
+- Whats next section in getting started page
+- Convert pngs to jpgs
+- Merge remote-tracking branch 'origin/master' into optimizers_documentation
+- Lower the number of first stage samples for BO strat
+- Model based bracket optimizers
+- Simplify `Prior`, `Sampler` and `ConfigEncoder` construction
+- Initial multi-objective support
+- Added support for PyTorch Lightning in the DDP backend.
+- Added native Pytorch DDP example with neps
+- Merge master into ddp-pytorch-lightning
+- Enable uv caching for github actions workflows
+- Use env var to share config with higher rank workers
+- Hacky fix for multiple DDP launches
+- Reformatted algorithm names
+- Filled MF and MF+Prior pages
+- Small fixes and ideas
+- Ask and tell
+- Bump ytanikin/PRConventionalCommits from 1.2.0 to 1.3.0
+- A lot
+- Enable uv cache
+- Renaming several functions
+- Changed equation optics
+- BO page
+- Prior explanation
+- Rename default to prior
+- Restructuring optimizers page, inserting low-level-MF and prior explanations
+- Newline in optimizers.md
+- More detail and fixes for optimizer pages
+- Switch from poetry to uv
+- Enforcing conventional commit naming in PR titles
+- Improve examples
+- Update roadmap
+- Update citations
+- Improve conciseness of README
+- Fix structuring of CONTRIBUTING docs
+- Fixed `priorband_template.py` example
+- Fixed pytest with new fidelity parameter checks
+- Fixed `priorband_template.py` example
+- New commands for CLI: sample-config, report-config, init, results ; Refactoring CLI
+- Update roadmap
+- Rename `neps.XParameter` to `neps.X`
+- Rename `neps.XParameter` to `neps.X`
+- Remove as many methods from SearchSpace as possible
+- Use `vulture` to remove dead code
+- Use `ask()` instead of two-stage `load_optimization_state()` and `get_config_and_ids()`
+- BO and ifBO
+- New cli commands help, info-config, errors, status, results + Documentation
+- Refactor Declarative Usage (CLI) + Documentation
+- Enable pipeline_space keyword in seperate yaml
+- Change run-args to optional argument for neps run
+- Provide a log message indicating summary data has been generated
+- Improve message on how to deal with an error from a worker
+- Modularize file state
+- Introduce CLI
+- Derive type(int, float, str) from str input of searcher-kwargs cli
+- Introduce cli neps (init, run)
+- Introduce Settings Class and Default() Arguments
+
+### Fixed
+- Add mypy error ignore comments for portalocker lock module attributes
+- Prevent prior definition for fidelity parameters
+- Prevent prior value assignment for fidelity parameters in Float and Integer classes
+- Spelling mistakes
+- Making config ordering deterministic
+- Explicit path print on successful 3D plotting
+- Explicit path print on successful 3D plotting'
+- Example and post-run plotting
+- Ifbo plotting path and keys
+- Example and post-run plotting
+- Allowing None as constant HP in yamls
+- Removing comment and unused import
+- Making config ordering deterministic
+- Allowing None as constant HP in yamls + minor fix to tblogger
+- Use initial passed in value
+- Fixup ruff pre-commit
+- `Categorical` domain is `is_categorical=True`
+- Populate prior
+- Fixed bracket display
+- Transformation of categoricals and handling of unusual fidelity bounds
+- Fixed math display
+- Fix headings
+- Fix typo
+- Filelock issues
+- Fix typo in README
+- Fix indendation in roadmap
+- Debug env vars better
+- Timeout set explicitly to 120 seconds, debug on env vars
+- Fix np converting lists to np types
+- Deprecation warning over concat with empty dataframe
+- Use absolute path for previous config location
+
+### Removed
+- Remove unused files
+- Remove `centers` and `priors`
+- Remove unused deps
+- Removes a lot of methods from `SearchSpace`
+
+## [0.12.2] - 2024-07-09
+
+### Added
+- Add example for running neps on slurm scripts
+
+### Changed
+- 0.12.2
+- Update pyproject.toml
+- Refactor declarative usage
+- Merge of master
+- Improve rendering of README and docs landing page
+- Improve README.md and update docs landing page
+
+## [0.12.1] - 2024-07-03
+
+### Added
+- Add tests for checking optimizer loading via run_args
+- Add python -m neps_examples utility to print examples
+- Add torchvision to non-dev dependencies
+- Add tests + fix docs
+- Add searcher_args to searcher_info for custom class optimizer loaded via yaml
+- Add providing arguments for loaded class BaseOptimizer via yaml + fix pre-commit related errors
+- Add docstring rm solved ToDos
+- Add mixed usage functionality for run_args and neps func arguments
+
+### Changed
+- Bump version from v0.12.0 to v0.12.1
+- Allow use of neps.Float instead of neps.FloatParameter
+- Only log searcher as info level, log searcher_alg to debug
+- Set post_run_summary to True always
+- Fix incumbent tblogger bug
+- Minor code fix + comment
+- Minor change in test
+- Minor change in test
+- Update to master
+- Readd sleep to hyperparameters example
+- Maintain roadmap
+- Move examples lists from test to neps_examples
+- Improve readme, fix broken link, make slimmer
+- Maintain roadmap
+- Improve README writing, fix links, remove dead weight
+- Minor bug fix
+- Bug fix
+- Have PiBO as an explicit searcher
+- Change path of yaml test directories to tests_tmpdir
+- Change path of yaml test directories to tests_tmpdir
+- Change boolean values in yamls from [True, False] to [true, false]
+- Update declarative example
+- Code clean up + add notes to docs
+- Clean up code and docsctrings
+- Adapt SearcherConfigs to the new dict design of optimizers
+- Update docs
+- Update rm searcher_kwargs key from yaml for user
+- Update rm searcher_kwargs key from yaml for user
+- Change algorithm to strategy
+- Change searcher key algorithm to strategy + rm searcher_kwargs argument
+- Define dict in run_args yaml
+- Update docs to the new design
+- Merge master + fix loading neps-searchers from yaml
+- Rm neps argument searcher_path
+- Change design for searcher config
+- Simplify code
+- Change design for pre-load-hooks
+- Align the tests for declarative usage to the ones that are in the docs + try fix test
+- Update pyproject.toml for PyTorch versions
+- Fix AttributeError: 'int' object has no attribute 'nodes'
+- Cast Path to str
+- Update pyproject.toml
+- Update pyproject.toml
+- Update pyproject.toml for PyTorch versions
+- Update precision of best loss in logs
+- Enable mixed usage for run_args and neps func arguments + new design for pre-load-hooks  + new design for searcher config (yaml)
+- Integrate pipeline space into run args yaml + new design for defining constant parameter
+- Minor optimizations to examples using graph parameters
+- Switch to `clone()` for search space.
+- Declarative usage examples + simplified yaml usage
+- Partial update of state
+- Just two seperate classes
+- Partial update of state
+- Use binarized formats for de/serialization of rng
+- Remove sleep from examples
+- No arbitrary object loading `torch.load`
+- Use binarized formats for de/serialization
+- Directly link to API in docs, remove repetitions
+- Move `neps.run()` to be the first recommended page
+- Use function API instead of duplicating docs
+- Directly link to API docs in search_space docs
+
+### Fixed
+- Fix yaml dumping and default args selection for optimizer loaded via run_args
+- Fix double logging and move post_eval_hook to runtime
+- Save seed state by default
+- Save seed state by default
+- Fix path reference
+- Fix test
+- Fix pre-commit
+- Fix pre-commit error
+- Fix pipeline_space example
+- Fix errors in tests
+- Explicitly load previous results
+- Allow for a worker not to have evaluated
+- Boolean check for cost
+- Lock by default for
+- Ensure new state is saved to path
+- Use 3.8 compatibly type aliases
+- Fix test relying on boolean positionals
+
+### Removed
+- Remove arg from examples
+- Remove unnecessary torchvision requirement
+- Remove neps argument 'searcher_path' and yaml argument searcher_kwargs + New loading design for optimizer
+
+## [0.12.0] - 2024-05-02
+
+### Added
+- Add ruff as dev dep
+- Add ruff config
+- Add valid type check for choices in categorical parameter
+- Add logging info for parameter that uses e notation to inform them that the parameter gets deduced as float
+- Add global variable to handle path location
+- Add comment to check_arg_defaults
+- Add type hints for arguments and returnn for all run_args functions
+- Add cli neps(init, run) + modify custom optimizer usage, providing just a class
+- Add tests to check functionality within neps.run() when using run_args.yaml to provide arguments + comment code
+- Adding sleep time to inaccessible locks for summary_csv and sampler_info
+
+### Changed
+- Version 0.12.0
+- Big documentation cleanup
+- Use relative links instead of https ones
+- Big documentation cleanup
+- Re-enable pre-commit
+- Limit to just src dir
+- Add sections regarding linting
+- Update Contributing
+- Fix up some files, ignore others
+- Remove refernces to black
+- Remove references to pylint
+- Cleanup common.py
+- Cleanup pyproject.toml
+- Update pre-commit yaml
+- Add action to run pre-commit
+- Some progress towards neps.utils
+- Fix up linting errors with status dir
+- Document neps.runtime
+- Ruff pass on types.py
+- Ignore all files
+- Improve validation and `==`
+- Improved error feedback for wrong path
+- Change search_space: to pipeline_space: for tests
+- Update to master
+- Log boolean check
+- Update __eq__ function for parameters to use it to cover test cases
+- First implementation of using yaml from `run_args=`
+- Switch to relative import for module utils
+- Implement strict argument usage check; raise errors as needed
+- Minor fix
+- Reorganizing doc structure for running NePS
+- Update neps_run.md
+- Update neps_run.md
+- Doc fix for run_arg usage
+- Rm cli command
+- Delete cli
+- Enhanced usability by supporting module paths with and without '.py' extension + general improved error feedback
+- Rework of the yaml_usage examples + adding readme for guidance
+- Documentation for run_args
+- Rework of some of the code + comment and doc string changes
+- Increase code maintenance + enabled strict usage of run_args, overwritting all other arguments that are provided via neps.run(...) + Enable loading the pipeline_space provided as a dictionary from YAML and the loading of the BaseOptimizer as searcher from YAML
+- Implementation of run_args, loading and checking settings from yaml + tests
+- Integrate metahyper as neps.runtime
+- Type fixes
+- Use `Dict` in `TypeAlias` for <=3.8 compat
+- Use Union for <=3.9 compatibility
+- Use `poll` everywhere
+- Integrate metahyper closely
+- Merge pull request #72 from automl/ci-concurreny-groups
+- Run tests on any push/PR to master
+- Add concurrency group to save resources on github action tests
+- Update author list
+
+### Fixed
+- Fix import
+- No need to pass logger anymore
+- Fix ruff versioning
+- Fixup `neps.plot`
+- Fix up neps.__init__
+- Fix link in docs
+- Fix issue #35 + boolean checks for log and is_fidelity
+- Fix issue #35
+- Fix wrong key name for example search space yaml
+- Fix type hints for 3.8
+- Fix type hints for 3.8
+- Fix test + add run_args: constraint structure for yaml file
+- Fix python environment call in windows for test cases
+- Fix module import BaseOptimizer
+- Fix provided arguments check, special case searcher-pipeline_space
+- Fix provided arguments check
+- Fix provided arguments check
+- Broken import
+- Fix example
+
+### Removed
+- Removed unfinished declerative docs to another branch + added missing usage information for providing pipeline_space to neps.run()
+
+## [0.11.1] - 2024-02-19
+
+### Added
+- Adding first iteration to the  run_pipeline documentation
+- Add Examples to Readme
+- Added citation + analyse.md iteration
+- Add comment in code example
+- Add comment in code example
+
+### Changed
+- Bump version from v0.11.0 to v0.11.1
+- Updating run_pipeline docs
+- Updating docs for citations
+- Doc link fixes + some minor text changes
+- Merge pull request #56 from automl/configspace-patch-1
+- Update pyproject.toml
+- Documentation iteration + minor tblogger example change
+- Merge pull request #50 from automl/next_doc_iteration
+- Adjusting summary_csv with task_id and dev_stage_id args
+- Big Documentation Update + align naming of configspace for yaml usage
+- Closes #52: summary_csv compatible with development_stage_id
+- Merge pull request #34 from automl/readme_changes_danrgll
+- Updating parallelization documentation and README links
+- Update branch to current master
+- Fixing merge conflicts with master
+- Enhancing README: Adding paper links as insights to key features
+- Landing page README iteration + installation guide
+- Update README.md
+- Iterating analyse.md; format + doc changes
+- Update README.md with additional key features and improved structure
+- Update README.md
+- Update citations.md
+- Update README.md
+- Tblogger doc iteration + adding images
+- Merge remote-tracking branch 'origin/master' into readme_changes_danrgll
+- Tblogger doc iteration + light/dark mode doc switch
+- Iterating through examples README + tblogger doc
+- Fixing conflicts from main and README iteration
+- Change format
+- Change format
+- More compact format
+- Change order of documentation section
+- Adapt Indentation
+- Changes for code usage example
+- Changes for code usage example
+- Merge pull request #48 from automl/dependabot/github_actions/actions/setup-python-5
+- Bump actions/setup-python from 4 to 5
+- Merge pull request #46 from automl/yaml_config_space
+- Update to current master
+- Changing root README.md Citations link to docs
+
+### Fixed
+- Fix issue #44
+
+## [0.11.0] - 2023-12-08
+
+### Added
+- Add citations to the documentation
+- Adding edits from #34 from @danrgll and @TarekAbouChakra
+- Add type specification for arguments + add more detailed DocStrings for paramter validation functions
+- Add examples + test adaptation to new functionalities + outsorcing utils for yaml search space in own file
+- Add usage of e and 10^ for exponent format as input for yaml file + new tests for optional type argument
+- Add documentation for config_space
+- Adding callable function for post-run csv analysis
+- Add tests, adapt pipeline_space_from_yaml(), fix some errors raised by pre-commit in search space
+- Add yaml to dict function and make it callable in api run
+- Adding .optimizer_info.yaml checks for catching user errors
+- Adding post-run summary files + testing
+- Added whoami function and a test case for searcher as BaseOptimizer
+- Added return values
+
+### Changed
+- Bump version from v0.10.0 to v0.11.0
+- Fixing roadmap version
+- Updating roadmap pre-release
+- Merge pull request #47 from automl/Neeratyoy-patch-1
+- Update README.md
+- Enable usage of Path object for yaml_file config_space
+- Merge master into branch
+- Fixing flattening merge issues between src/ and neps/
+- Merge pull request #45 from automl/repo-flattening
+- Merge remote-tracking branch 'origin/master' into repo-flattening
+- Minor file import changes for clarity and consistency
+- Updating pyproject.toml with new repo directories location
+- Repo flattening + adjustments
+- Merge pull request #36 from automl/typing-export-types
+- Export `py.typed` for `neps` + `metahyper`
+- Resolves #26; resolving deprecation warning
+- Made code more readable for validate parameter inputs + add tests + comment functions
+- Changes in yaml_search_space examples
+- Resolve merge conflicts
+- Change tests to marker neps-api and resolve merge conflicts
+- Merge pull request #33 from automl/api-checks
+- Better testing + api checks before starting the search
+- Fixing merge conflicts with master
+- API refactoring + API tests and checks
+- Clean up tests
+- Summary_csv test fix
+- Iterate over summary_csv, fix warning, and convert strings to lowercase
+- Adapt tests and documentation for yaml_search_space
+- Adapt tests and documentation for yaml_search_space
+- Merge pull request #17 from automl/dependabot/github_actions/actions/checkout-4
+- Bump actions/checkout from 3 to 4
+- Minor tblogger image logging bug fix
+- Fix merge error and move MissingDependencyError into metahyper
+- Fixes #24 for the next release
+- Merge pull request #38 from automl/deps-remove-pandas-upperbound
+- Remove overly restrictive dependancies
+- Enable to run tests for yaml
+- Merge pull request #22 from automl/csv_summary
+- Refactoring unit test + stochastic failure debug
+- Minor update to neps/status/status.py
+- Minor updates to neps/api.py
+- Resolving merge conflicts with master
+- Minor updates
+- Fixing multi-thread .optimizer_info.yaml using decision_locker
+- Tblogger example iteration
+- Tblogger example iteration
+- Merge pull request #21 from automl/tabular-space-support
+- Merge conflict resolution
+- Removing neps api test from GitHub actions
+- Minor cleanup
+- Allowing full table sampling in acquisition
+- Merging updates
+- Budget id >= 0
+- Minor clean up, and suggested changes
+- Increase pytest timeout to 15mins
+- Minor logic updates
+- Removing stray iimport
+- Making PFN conditioned on local availability
+- Merge resolution + removing timing code
+- Merging with master
+- Tabular support + DyHPO - joint commit with @karibbov
+- Merge remote-tracking branch 'refs/remotes/origin/master'
+- Merge remote
+- Set normalize_y to False
+- Utility functions update + example templates iteration
+- Reducing tblogger example runtime
+- Update releasing.md
+
+### Fixed
+- Fix test cases
+- Fix format of Pipeline Space Documentation for mkdocs
+- Fix naming of parameters in test
+- Fix issue regarding tests and search space from yaml file
+
+### Removed
+- Remove 10^ notation + introduce key checking for parameters +  enable e notation usage for all parameters and arguments
+- Remove extra pop
+
+## [0.10.0] - 2023-11-06
+
+### Added
+- Adding warning filter for tensorboard in pytest
+- Adding Py3.11 test on Mac
+- Add support for python 3.11
+- Add cloning to docs of contributor install
+- Adding utility functions for checkpoints and the lightning template
+- Adding priorband template
+- Adding template for basic neps usage
+- Add input-output scaling to DeepGP, changes from Heri
+- Add functionality to MFObservedData
+- Added ignore_missing_defaults option to sample_default_configuration()
+
+### Changed
+- Bump version from v0.9.0 to v0.10.0
+- Change license from MIT to Apache-2.0
+- Increasing GitHub pytest timeout from 10 to 15 minutes
+- Minor typo fix
+- Removing argparse from tblogger example
+- Shortening tblogger example runtime
+- Removing argument parsing in Tensorboard example
+- Template update + torchvision in deps
+- Including new examples for testing
+- Adjusting tblogger tutorial
+- Adjustments for Tensorboard and saving configuration data from Metahyper
+- Fixing PyTorch2.0 issue with pyproject
+- Updating dependency, torch version
+- Exclude macos python 3.11 test for now
+- Update author order in CITATION
+- Update author order
+- Reformatting optimizer_info yaml with fewer restrictions on Metahyper
+- Merge pull request #18 from automl/yaml-api
+- Stricter conditions on the optimizer
+- Iterating yaml api PR
+- Neps with pytorch lightning example
+- Making new markers for the yaml_api tests
+- Handle Failure mode of the DeepGP: use untrained model
+- Tabular SearchSpace for MFEIBO
+- Merge remote-tracking branch 'refs/remotes/origin/master'
+- DeepGP checkpoint and refine
+- Minibatch DeepGP training
+- Yaml test cases and minor fixes
+- Api yaml new feature
+- Merge remote-tracking branch 'origin/master' into tensorboard-neps
+- Minor tblogger example changes
+- Minor tblogger example changes
+- Record learning curves explicitly
+- Expose DeepGP parameters, make early stopping optional, disable default normalize_y, add TODOs
+- Avoid duplicates when sampling new configs
+- Merge pull request #14 from automl/tensorboard-neps
+- Tblogger cleanup
+- Merge remote-tracking branch 'origin/master' into tensorboard-neps
+- Merge remote-tracking branch 'origin/master' into tensorboard-neps
+- Tblogger changes in class and example
+- Merge remote-tracking branch 'origin/master' into tensorboard-neps
+- Fixing issues in tblogger and example
+- Tensorboard example and class minor changes
+- Tensorboard functionality
+- __future__.annotations
+- Deep gp with MFEIBO
+- Merge remote-tracking branch 'refs/remotes/origin/master'
+- Update init design for MF-EI-BO
+- Bug fix to MFI + budget-based initial design
+- Initial deep gaussian process
+- Merge fix
+- Simplify MFEIBO get_config_and_ids, anf mf_ei.py
+- Fixing issues with MFEIBO
+- Update __init__.py
+- Dyhpo Acquisition Function MF-EI implementation
+- Minor cleanup
+- Cleaning changes to MF-EI
+- Synthetic Regression Tests added
+- Initial MF-EI changes
+- Regularized Evolution default assisted = False
+- Resolve python version version based issues
+- DyHPOBase draft version, with a random acq
+- Bug fix in set_hyperparameters_from_dict() for ConstantParameter
+- Bug fix in set_hyperparameters_from_dict()
+- Modified set_hyperparameters_from_dict() to allow setting it from another search space as well
+- Changed data_loading utility functions to be more flexible and use json instead of yaml
+- Tensorboard Evaluation File
+- Removing deprecated import
+- Removing deprecated import
+- Removing deprecated files
+- Bug fix: log transform with log as False
+
+### Fixed
+- Fixing optimizer yaml file
+- Fixing tblogger example
+
+### Removed
+- Remove support for python 3.7 (end of life)
+- Remove metahyper doc stubs
+- Remove the budget_id column from observed data
+
+## [0.8.4] - 2023-05-03
+
+### Changed
+- Bump version from v0.8.3 to v0.8.4
+- Updating PriorBand defaults
+- Docstring update
+- Simplifying PB decay
+- Un-exclude macos tests
+- Adjust numpy version
+- Un-exclude some windows / macos tests
+- Adjust torch version for macOS, add OS classifiers
+- Bound torch version to try fix macOS issue
+- Allowing prior-based MF algos to sample default at max budget
+- Fix poetry version for github actions
+- Bump poetry version for github actions
+- Merge pull request #9 from automl/dependabot/github_actions/abatilo/actions-poetry-2.3.0
+- Bump abatilo/actions-poetry from 2.1.6 to 2.3.0
+- Run pre-commit on all files
+
+### Removed
+- Remove continuation of crashed configs from metahyper
+- Remove torch version constraint
+
+## [0.8.3] - 2023-03-21
+
+### Added
+- Add -u flag to publish documentation
+
+### Changed
+- Bump version from v0.8.2 to v0.8.3
+- Bug fix in SH
+- Fixing failing test case for mutation on IntParam
+- Replace prints with logger
+
+## [0.8.2] - 2023-03-18
+
+### Added
+- Add eddie to CITATION.cff
+- Add Eddie as author
+- Adding mutation as incumbent sampler
+- Add utils and prototype optimizer for meta_neps
+- Adding PriorBand+BO
+- Add result hallucination for pending
+
+### Changed
+- Bump version from v0.8.1 to v0.8.2
+- Adjust sleep in example
+- Updating PB decay method
+- Exposing prior confidence param in BO
+- Typo fix
+- Bug fix: IntParam mutable object not updating
+- Ignore *.DS_Store in .gitignore
+- Bug fix in set_hyperparameters_from_dict() preventing None as default with has_prior=True
+- Updating mutation function flow per HP + local mutation func. in PB utils
+- Manual merge of changes from hnas branch
+- Fixing MF-BO joint 2-step AF
+- Bug fix: PB BO joint
+- Revamping MF BO
+- Minor update to PB
+- Fixing log transform trigger for float HPs
+- Major update to PriorBand family + Bug fixes
+- Async PriorBand param update
+- Setting default log prior weights to False
+- MFBO data subset bug fix + PB decay_t
+- PriorBand design changes for ablation
+- Fixing baseline logic
+- Updating HB+inc baseline
+- Minor update to dynamic inc sampling
+- Changes to mobster
+- Minor logic update in inc activation (PriorBand)
+- Code refining and cleaning (mf-priors)
+- Minor update to SH sampling default
+- Fixing import from merge conflict
+- Merging to master a highly diverged commit
+
+### Fixed
+- Fix missing pyyaml dependency
+- Fix example links
+
+## [0.8.1] - 2023-01-08
+
+### Added
+- Add small fixes for repetitive architecture spaces
+
+### Changed
+- Bump version from 0.8.0 to 0.8.1
+
+## [0.8.0] - 2022-12-29
+
+### Changed
+- Bump version from 0.7.0 to 0.8.0
+- Clean architecture and hps example
+- Clean architecture example
+- Clean up NAS api further
+- Ignore grakel warning
+- Rework NAS api
+- Update roadmap
+
+### Fixed
+- Fix __init__ structure
+
+## [0.7.0] - 2022-12-18
+
+### Added
+- Add mobster
+- Added delete_previous_defaults anf delete_previous_values options to set_hyperparameters_from_dict()
+- Added function set_default_confidence_score to float, integer and categorical
+- Add get_summary_dict
+- Add budget stop criterion to multi_fidelity
+- Add fixing of autograd warning to roadmap
+- Add rename proposal to roadmap
+- Adding async HB baseline
+- Adding async PB exp
+- Adding PB to async SH/HB
+- Add incumbent plotting
+- Adding HB + inc sampling
+- Adding sampling from hypersphere
+- Add convenience examples and fix example links
+- Add parallelization example and remove pipeline_dir from basic_usage
+- Add metahyper to this repository directly
+- Adding HB,ASHA,ASHA-HB based PriorBand versions
+- Adding NePS HB with PriorBand ensembling
+- Adding Ensemble Policy and custom HB default
+
+### Changed
+- Bump version from v0.6.1 to v0.7.0
+- Merge pull request #4 from automl/remove_fnctl_dependancy
+- Update roadmap
+- Exclude macos 3.7 and 3.8 tests
+- Bug fix in set_hyperparameters_from_dict() for categorical parameters
+- Improve plotting sciprts
+- Update roadmap
+- Deactivate macOS 3.8 and 3.7 tests
+- Do not create graph for nlml backward pass
+- Exclude windows with python 3.10 as a gh-actions test
+- Fix mark selection for pytest
+- Trigger on update to workflows too
+- Enable metahyper tests
+- Add macos and windows to tests
+- Update actions
+- Add dependabot for github actions
+- Updating PriorBand with inc sampling type and style + misc changes
+- Minor cleanup
+- Rename budget to max_cost_total, add to example
+- Updating asyncPriorBand
+- Fixes for parallel/async MF algos
+- Update roadmap
+- Improve error message for loss value on error
+- Minor param update to async PB
+- Fixing metahyper import
+- Do not print summary when plotting
+- Save previous_config_id to metadata.yaml
+- Update old docstring
+- Clean up metahyper, add analysis test
+- Improve README text
+- Minor change to plot structure
+- Improve README
+- Improve analyse example
+- Improve documentation on analysis
+- Improve examples readme
+- Rework examples with respect to analysis
+- Parallelization example as .md
+- Improve plotting (now through neps.plot)
+- Move AttrDict to common utils
+- Revert example
+- PriorBand exps and ablations
+- Removing deprecated files
+- Making new additions restructure compatible
+- Make root_directory an arg not a kwarg
+- Constrain the torch version due to installation issues
+- Refactor examples
+- Use pipeline_directory instead of working_directory in examples
+- Improve speed of poetry install a bit
+- Update to poetry 1.2 syntax
+- Updating logs and minor formats
+- Update roadmap
+
+### Fixed
+- Fix metahyper test
+- Fix roadmap formating
+- `os.setsid` not available on windows
+- Try unlock instead of lock for windows segfaults
+- Add test for filelocking
+- Change to cross-plat portalocker
+- Fix root dir name in example
+- Fix examples readme
+- Fix python compatibility issues for plotting
+- Fix poetry version in github workflow
+- Fix verison in citation.cff
+
+### Removed
+- Remove dill dependency
+- Remove unnecessary metahyper files
+
+## [0.6.1] - 2022-10-25
+
+### Added
+- Add python versions to test matrix
+- Support python3.8/9/10
+
+### Changed
+- Bump version from v0.6.0 to v0.6.1
+- Setting multi-fidelity default to model-free HB
+- Merge fix
+- Minor fixes to HB and asyncHB
+- Making sync. SH and HB parallel
+- Initial SH update
+- Adjusted to 0.6.0
+- Merge https://github.com/automl/neps into HEAD
+
+### Fixed
+- Fix gh actions semantics for python 3.10
+- Fix install for 3.7 and 3.10
+- Fix version constraint
+
+## [0.6.0] - 2022-10-22
+
+### Added
+- Add ability to ignore errors
+- Added ranomized PriorBand Policy
+- Added random sparse promotion
+- Added default sampling and made peaky prior a non-default setting
+- Adding v6 with v5 variations
+- Added ablation study functionality - regular sampling and promotion
+- Added args for allowing ablation studies in raceband
+- Add disable_prior flag to BO optimizer
+- Adding variants to v5
+- Added raceband - temporary name for possible Hyperband competitor
+- Adding v5 to mf-priors
+- Adding confidence and random sample HPs in mf-prior opts
+- Added EI, toyed with bandwidths to emphasize prior
+- Added Expected Improvement-like weighting to the TPE
+- Adding random_interleave_prob to multi_fidelity
+- Adding new optimizer to decay prior to uniform
+- Adding new ASHA-AsyncHB opt
+- Adding new opt with small update to Async HB
+- Added adaptive correlation between fidelities for MF-TPE - only lacking
+- Adding first few trial versions of mf-prior algos
+- Added ability to remove samples that have been queried at multiple
+- Added async support - registering pending configurations as bad in the
+- Add Nils
+- Adding func to track incumbent in SH
+- Add mike to documentation for versioning support
+- Add parallelization example to roadmap
+- Add alternatives documenation and improve toc of docs
+- Add Note section to readme
+- Add carl to CITATION.cff
+- Added KDE & Vanilla TPE along with example. KDE comes with additional
+- Add constant to pipeline_space_from_confgispace
+- Add comments explaining core vs all tests
+- Adding Asynch HB with and w/o priors
+
+### Changed
+- Bump version from v0.5.1 to v0.6.0
+- Jitter=1e-6 for gp.py
+- Modified defaults and adjusted sampling according to discussion
+- Making BO support sampling of default first
+- Appending default as first sample param in MF algos
+- Changed so that constants have default values, and so that
+- Changed to enable vanilla Raceband, no priors
+- Fixed minor budgeting bug
+- Changed sampling procedure tolerance
+- Changed Raceband to accept max budget and utilize sharper priors
+- Fixed constant support and categorical distance bug
+- Omit ConstantParameter in GP-opt
+- Updating v4 with sync SH/HB changes
+- Simplified RaceBand according to suggestions
+- Fixed sampling tolerance in neighborhood sampling
+- Fixed integer parameter bug in sobol -> config conversion
+- Updating synchronous MF algos
+- Updating categorical choice confidences
+- Introduced learning between brackets
+- Merging master
+- Option for ultra confidence in mf-prior algos
+- Changed some HPs of the KDE, and re-added some plotting utilities (that
+- Minor readme edit
+- Minor comment
+- Updating async HB sampling of brackets/rungs
+- Fixing/tuning v3_2
+- Merge https://github.com/automl/neps into HEAD
+- New opt with prior decay to RS
+- Updates to dense graph allowing te be trained. small fixes in the API for graphs
+- Now supporting Constant values (and ordinals, but those are considered
+- For Prior-based MF algos defaulting to NePS confidence
+- Reverted the prior strengths in SH to adhere to the convention
+- Making SH priors peaky
+- Regression tests
+- Regression test's metrics changed
+- Ensured to properly differentiate between rung and fidelity
+- Fixing configspace mapping and RS parameterization
+- Bug fix in compute_prior() for a ConstantParameter
+- Categorical, Integer and log variables now all work. V1, should be ready
+- Async soft promotions now work as intended. First version of algo done,
+- Changed the mf_tpe example to not include categoricals (not quite
+- Multi-fidelity promotions incorporated - still need to remove
+- Ensured multifidelity splitting is done correctly in TPE, and modelled
+- KDE now weights each point according to fidelity - still need to sort
+- Option for prior confidence in SH/HB
+- Syncing with master
+- Started incorporating multifidelity funcitonality
+- Update roadmap
+- Document mike
+- Improve documentation on testing and checking protocols
+- Refine roadmap
+- Refine roadmap
+- Unbold documentation / examples
+- Improve readme text organization
+- Refactor search spaces sub directories
+- Renamed KDE, fixed weighting, added some defaults
+- Adjusted some parameters of the KDE, allowed for fitting of fixed
+- KDE now runnable
+- KDE now runs - fixed imports
+- Accidentally changed in old optimizers.__init__.py file, reverted now
+- Restructure neps_examples and simplifiy test_examples.py
+
+### Fixed
+- Fix docs
+- Fix docs
+- Fix links in docs
+- Fix links in README
+- Fixed cost-cooling when estimated costs are zero
+- Fix typo in README
+- Fix links in documenation
+- Fix pyproject and add carl
+
+### Removed
+- Removed print statements
+- Removed print statements
+- Remove deprecated documentation part
+- Remove torch installation utils
+- Remove old plotting utils
+
+## [0.5.1] - 2022-08-29
+
+### Added
+- Add changing of CITATION.cff to docs on version releases
+
+### Changed
+- Bump version from v0.5.0 to v0.5.1
+- Initial HB commit
+- Testing submodule + minor code cleanup
+- Fixing failing example
+- Fix failing test
+- Bump version to 0.5.0 also in CITATION.cff
+- Restructuring multi-fidelity - adding SH, ASHA with and w/o priors
+- Restructuring multi-fidelity - adding SH, ASHA with and w/o priors
+- Improve poetry documentation
+
+## [0.5.0] - 2022-08-26
+
+### Fixed
+- Fix version from 0.4.10 to 0.5.0
+
+## [0.4.10] - 2022-08-26
+
+### Added
+- Add roadmap to documentation
+- Add function set_defaults_to_current_values() to search_space.py
+- Add Samir
+- Add collection of todos
+- Add documentation link to README
+- Add dev and task id to run() and pass them to metahyper.run()
+
+### Changed
+- Bump version from 0.4.9 to 0.4.10
+- Move jahs_bench to dev dependency
+- Deprecate working_directory in favor of root_directory for neps.run
+- Move roadmap into contributing folder
+- Improve readme and documentation
+- Improve shields
+- Change license
+- Update link to documentation in README
+- Improve contributing documentation and add releasing howto
+- Regression tests
+- Bug fix in set_defaults_to_current_values()
+- Refactor CategoricalParameter outside numerical
+- Working_directory -> root_directory
+- Update documentation structure
+- Updated poetry installation instructions
+- Making error the default behavior for optimizer
+
+### Fixed
+- Fix configspace + pipelinespace suppor
+- Fix docstrings
+- Fix pyproject license
+- Fix link to example
+
+## [0.4.9] - 2022-05-31
+
+### Added
+- Add install from pypi
+- Add authors and info
+- Add random interleave prob in MF BO
+- Add unparsing
+- Add back handling of a new graph represenation (hierarchical)
+- Add prior for multiple repetitive grammars
+
+### Changed
+- Ignore dist
+- Rename project for pypi
+- Small updates to take last combo op
+- Create CITATION.cff
+- Letting MF BO switch to BO after eta evals on max fidelity
+- Implement loss_value_on_error and cost_value_on_error base_optimizer.py and all optimizer classes. Values can be passed to api.run() with **searcher_kwargs. status() and _post_evaluation_hook() always use default value inf.
+- Introduce parameters loss_value_on_error and cost_value_on_error in result_utils.py and base_optimizer.py
+
+### Fixed
+- Fix pip install
+- Fix date
+
+## [0.4.8] - 2022-05-12
+
+### Added
+- Add handling of grid search exhaustion
+- Add grid search to optimizers
+- Add grid generation for search space
+- Add prior to dense graph
+
+### Changed
+- Bump version
+- Update RE config id
+- True fix
+- Bug fix
+- Neps search space code improvements
+- Lower distance for neighbours in crossover
+- Enable crossover for HPs
+
+### Fixed
+- Fixed cost_cooling and updated test case
+
+## [0.4.7] - 2022-05-07
+
+### Changed
+- Bump version, fix async MF
+- Bump version, fix async MF
+- Fixing async failure modes for MF BO
+- Init design fix to MF + error handling if AF sample fails
+
+## [0.4.6] - 2022-05-05
+
+### Changed
+- Bump version, fix asynch MF
+- Set to max fidelity in AF optimization
+- Small fixes
+- Change prior decay and initial sampling, MF-BO bug fix
+- Update constrained grammar
+- Handle hierarchical graph extraction
+- Implemented cost cooling
+- More flexible towards constraints
+- Extract graphs from new representation
+- Fix matplotlib version
+- Fix call to parent constructor in graph Parameters
+- Raise NotImplementedError when not implemented
+- Update regularized evolution
+
+### Fixed
+- Fix a bug in extract config
+
+### Removed
+- Remove prints
+- Remove change
+
+## [0.4.5] - 2022-05-02
+
+### Added
+- Adding toggle option for model-search and RS in MF BO
+
+### Changed
+- Bump version to 0.4.5
+- Check for attribute existing
+
+## [0.4.4] - 2022-05-02
+
+### Added
+- Add pibo functionality for constrained grammar
+- Add fault tolerance example
+- Add demonstration of working_directory and previous_working_directory
+
+### Changed
+- Bump version to 0.4.4
+- Fix error with values not sampled when not using fidelities
+- Put realistic lr search space in multi fidelity example
+- Allow down to pytorch 1.7.0 + fix torch.linalg.cholesky
+- Allow down to pytorch 1.8.0
+- Debugging multi-worker setup
+- Small fixes
+- Debugging multi-worker setup
+- MF BO fixed to handle pending evals
+- Improve __repr__ lisibility
+- Improve code for normalizing, include log in normalizing, add sample_batch to mutation_sampler
+- Debugging MF BO again
+- Debugging MF BO
+- MF BO default performance as inf
+- Fixing MF BO restarts
+- Another quick fix
+- Quick fix
+- Remember where zero op is placed
+- Disable fault_tolerance example test as it makes no sense
+- Update constrained grammar
+
+### Fixed
+- Fix MF ASHA
+
+## [0.4.3] - 2022-04-28
+
+### Added
+- Add cost cooling structure
+- Adding get_cost utility
+- Add handling of fidelity parameters
+- Add HP normalization for the GP input
+- Adding GP-UCB (with TODOs)
+- Add set fidelity to maximum value for the acquisition function optimization
+- Add *args to forward call
+
+### Changed
+- Bump version
+- Trick to access the method from child
+- Use searcher kwargs
+- Commenting GP-UCB until tested locally
+- MF BO allows optimization restarts
+- Determine rungs wrt max_budget, add todos
+- Do not apply decayingpriorweightedacq everytime
+- Move kernel construction out of optimizer class
+- Update BO optimizer
+- Move NOTICE to source code
+
+### Removed
+- Remove surrogate model from acquisition functions init when still present (bug fix)
+
+## [0.4.2] - 2022-04-22
+
+### Added
+- Add matplotlib
+- Add id property to graph grammar
+
+### Changed
+- Use log priors per default, bump version
+- Update repetitive graph grammar
+- Compose functions directly from string descriptor
+- Move to method to utils
+- Update example
+
+### Fixed
+- Fix user priors for categorical hyperparameters
+
+### Removed
+- Remove setup method
+
+## [0.4.1] - 2022-04-21
+
+### Added
+- Add Literal types
+- Add wrapper class and remove edge_data argument from forward method
+- Add surrogate_model_fit_args to GP constructor
+- Add example for PiBO with graphs and HPs
+- Add shift to avoid negative log values
+- Add log-PiBO backend for graphs from grammars
+- Add merge operation to functional backend
+
+### Changed
+- Bump version
+- Use mf_bo per default when space has fidelities
+- Move multi fidelity to own fil
+- Updating function docstring
+- Clip likelihood before saving to list
+- Update example
+- Merging MF BO with master
+- Fixing AF sampling for MF BO
+- Edits to make MF BO runnable
+- Initial ASHA implementation (not tested)
+- Upload example using hierarchical GP
+- Also update hierarchical GP accordingly
+- Rename work_on to set_state
+- Refacot load_results
+- Also avoid copy in random_sampler acq_sampler
+- Rename use_user_priors to user_priors
+- Also avoid copy() in rs
+- Move copy() into sample()
+- Clean up dependencies
+- Only run core tests per default
+- Make log parameterizable for PiBO
+- Start GP fitting of kernel weights froalways m scratch
+- Fix NaN in _unscaled_distance
+- Move likelihood clipping into optimization
+
+### Removed
+- Remove init
+- Remove print from base_optimizer
+- Remove last graph since it's equal to the full graph
+- Remove file
+
+## [0.4.0] - 2022-04-13
+
+### Added
+- Add TF backend
+- Added required graph generation for sampling to check if graph is valid
+- Add support for intermediate build API for hierarchical NAS
+- Add set_recursive_attribute to set channels
+- Add dict structure as production
+- Support for OrdinalHyperparameter in pipeline_space_from_configspace
+- Add connection to search space for debugging
+- Add connection to hierarchical GP
+- Add explanation for hallucination
+- Add some TODOs
+- Add surrogate from map
+
+### Changed
+- Bump version
+- Set gradients to zero to avoid memory leak
+- Speed up examples
+- Rename arguments to function parameter
+- Move stem / head out of grammar
+- Change the node attribute to coarse label and debugged on all datasets
+- Debug on changing the order of the graphs: [hierarchical graphs] + [final_graph] to [final_graph] + [hierarchical graphs]
+- Replace fit_on_model with set_state
+- Change arguments in examples
+- Refactore some and add graphs over hierarchies backend
+- Also remove id_parse_tree in other examples
+- Refactor hierarchical NAS api
+- Debug the running of hierarchical kernels:
+- Refactor optimizer
+- Basic CArBO implementation
+- Move BO specific parts out of base_optimizer
+- Make terminal_to_graph_repr map optional
+- Fix small bugs
+
+### Fixed
+- Categorical parameters: fix infinite loop and value type
+- Fix BO docstring
+
+### Removed
+- Remove unpacking
+- Remove setup
+- Remove id_parse argument
+- Remove terminal_to_graph_repr
+
+## [0.3.3] - 2022-03-31
+
+### Changed
+- Bump version
+
+### Removed
+- Remove large parts of graph_utils/utils.py
+
+## [0.3.2] - 2022-03-30
+
+### Changed
+- Bump version
+- Typing + small refactors
+
+## [0.3.1] - 2022-03-28
+
+### Changed
+- Update metahyper and bump version
+- Increase default patience
+
+### Removed
+- Remove whitespace
+
+## [0.3.0] - 2022-03-24
+
+### Added
+- Adding test for user prior
+- Add equal operator for graphs
+- Add get_edge_list function for variable topologies
+- Add missing files
+- Add cost-aware skeleton/api
+- Added in robin's additive wl surrogate into the bo framework in neps updates
+- Added in robin's additive wl surrogate into the bo framework in neps updates
+- Add has_prior flag and compute_prior method
+- Add sceleton for utilizing prior in acq
+- Add prior weighted acq stub and has_prior attr to search space
+- Add link to mkdocs documentation
+- Add documentation structure
+- Added in robin's additive wl surrogate into the bo framework in neps
+- Add multi fidelity BO skeleton
+- Add SearchSpace.fidelity and SearchSpace.has_fidelity()
+- Add logging of working directory
+- Add overwrite option
+- Add hint to basic example
+- Add nullhandler to neps logger
+- Add documentation for showing status repeatedly
+- Add documentation for specific torch versions
+- Add float userpriors
+- Add user_prior flag and categorical user prior
+- Add patience from BO class to sampling
+- Add documentation to status
+- Add a comment for integer parameter sampling
+- Support singular result
+- Add user prior api
+- Add multi fidelity API
+- Add primitive operations
+- Add get_state and load_state methods for optimizers
+- Add cost aware setup
+- Add status script
+- Add improved logging
+- Add python support to soon-to-come
+- Add features to readme
+- Add documentation to api
+- Add arglint hook for the api
+- Add stopping control for distributed setting
+- Add run_pipeline_args and kwargs
+- Add new run_pipeline API
+- Add Mapping magic to search space
+- Add expected hypervolume improvement AF in develop
+- Add from_configspace construction to neps searchspace
+
+### Changed
+- Deprecate several args in optimizer API and run_pipipeline
+- Change default for the watch
+- Fix example
+- Ensure loss is a float
+- Passing budget argument to metahyper
+- Upgrade metahyper version
+- Fix floats types
+- When model building fails, log error and sample randomly
+- Fail tests in case of error logged
+- Put gp loggers to debug
+- Bump metahyper versio
+- Check if cuda seed exists in state before using it
+- Bump metahyper version
+- Bump metahyper version
+- Use dev version of metahyper
+- Bump metahyper version
+- Also run tests when pyproject changed
+- Refactor more code
+- Json serialization
+- Change default value in example
+- Complete pibo implementation
+- Apply prior weighted when prior exists
+- Shorten docstring
+- Compute ei incumbent in update step
+- Rename reset_surrogate to update
+- Extract propose_location from acq function
+- Improve comment
+- Install metahyper from pypi
+- Refactor docs structure and add explanations to CONTRIB.md
+- Get 2 versions of gpwl in
+- Small refactors and doctring on BayesianOptimization
+- Use original error message again
+- Improve variable name in README
+- Shorten variable names in readme
+- Shorten comment in README
+- Shorten comment in README
+- Improve basic example
+- Improve documentation
+- Feature pointer to examples more prominently
+- Improve parallelization documentation
+- Use validation_error in documentation
+- Allow more torchvision versions
+- Update license in README
+- Update LICENSE
+- Tweak categorical prior
+- Enable user priors
+- Use strings for default confidence
+- Enhance support for configspace
+- Replace random sampler with searchspace.sample_new()
+- Simplify randomsampler
+- Improve examples
+- Improve example
+- Mention examples not supported
+- Make status importable
+- Ignore usage_example
+- Improve readme
+- Run pre commit
+- Update black
+- Update to new metahyper version
+- Improve post evaluation logging
+- Count config_idsfrom 1
+- Make hp_kernels and graph_kernels optional
+- Update README.md
+- Improve usage part in readme
+- Deprecate search space api of run
+- Update source adaptation for ehvi
+- Bug fixes, update hp example to include integer hps
+- Make categorical type more general
+
+### Fixed
+- Fix ei docstring
+- Fix ucb still being important
+- Fix log determinant adding
+- Fix invalid patience sampling implementation
+- Fix error when raising ValueError
+- Fix typo
+- Fix warning with python -m neps.status
+- Fix wrong mypy override
+- Fix readme
+- Fix multi fidelity example
+- Fix typo
+- Fix metahyper version
+- Fix example error in README
+- Fix typing
+- Fix type errors numerical & search space
+
+### Removed
+- Remove ids whenever possible. Should also be done for graphs
+- Remove ucb and make ehvi private
+- Remove dead function
+- Remove n_iterations
+- Remove unneeded mypy override
+- Remove unneeded mypy override
+- Remove old api from optimizers
+- Remove evaluation and utils.util
+- Remove old metahyper
+- Remove print statement
+- Remove read_and_write
+- Remove dead code
+
+## [0.2.0] - 2022-01-24
+
+### Added
+- Added crossover to search space and updated BO loop to handle pending evaluations
+- Add print in eval mode
+- Add graph grammar multiple repetitive
+- Add linear n node topology
+- Add typing packages to dependencies
+- Add deprecate decorator
+- Add comments about metahyper API status
+- Add empty documentation
+- Add note to mypy ignoring
+- Add mypy to pre-commit hooks and CONTRIBUTING
+- Add tests badge
+- Add license and copyright notice for nasbowl
+- Add github workflow for ci
+- Add mutation on a level of dense graph (representation of child was missing)
+- Add information on test_tmpdir
+- Add instructions for failing tests
+- Add poetry tip to CONTRIBUTING
+- Add basic badges
+- Add absolufy-imports for automated relative imports
+- Add infos on utils.install_torch and add to CONTRIBUTING
+- Add option to return dict with subgraphs
+- Add log-EI in acquisition function mapping
+- Add conv-bn-relu to basic primitives
+- Add log-EI
+- Add all examples to tests
+- Add tests_tmpdir to pytests and teardown
+- Add API functions for BO
+- Add initial population size
+- Add FMNIST augmentations/normalization
+- Add new metahyper api
+- Add pytest mention to CONTRIBUTING
+- Add mdformat
+- Add random search for the new api
+- Add numerical parameter
+- Add GraphGrammarCell
+- Added all missing modules and reduced number of iterations in  hierarchical_architecture example to speed up testing
+- Add --py37 plus flag for pyupgrade
+- Add hierarchical architecture example
+- Add graph_dense implementation based on grammars
+- Added repetitive graph grammar and added common utility functions for graph grammars
+- Add convenient dense n-node DAG topology
+- Add more basic primitives and topologies
+- Add simple graph grammar search space computation
+- Add incumbent printing after a successful run
+- Add FashionMNIST
+- Add pending evaluations for BO
+- Add get_dictionary
+- Add HPO example (counting ones) using metahyper
+- Add get_dictionary and create_from_id for metahyper communication on search space and hyperparameter level
+- Add isomorphism checking
+- Add repetitive crossover operation
+- Add resolution constrained CFG
+- Add unparsing of parse trees
+- Add tests for examples
+- Add commented pytest to pre-commit for later
+- Add example folders
+- Add python coding guidelines
+- Add local_search mutation for hyperparameters
+- Add get_hp_by_name for search_space object by holding all hps in a dictionary
+- Add example script for running cnas with new search_space object
+- Add objective with api
+- Add compatability of BO for metahyper
+- Add graph_dense sampling
+- Add checkpoint path to exception
+- Add graph_dense sampling
+- Add hyperparameter class (old parameter) with sampling for child classes
+- Add deletion of tensors and mmore workers for data loading
+- Add RE
+- Add hyperparameter class (old parameter) with sampling for child classes
+- Add node subgraph
+- Add checkpoint reader
+- Add simple API objective base class
+- Add seed handling to base class
+- Add inv transform for scores
+- Add base objective class
+- Add checkpointer and id
+- Add crossover for constrained grammar
+- Add repetitive crossover
+- Add depth constrained & constrained grammars. Moved mutation & crossover to grammars
+- Add grad clipping
+- Add training utilities for DL-based experiments
+- Add argument to control if we return opt details, default false.
+- Add search space class
+- Add metahyper dependency
+- Add tabulate dependency
+- Added other parameter types
+- Added wrapper for graph grammar implementing mutation & crossover
+- Add parameter types and pipeline space
+- Add direct import of api
+- Add initial implementation for evolution acq optimizer
+- Add pyupgrade to pre-commit
+- Add examples as package to pyproject.toml
+- Add NOTICE
+- Add simon to license
+- Add initial api and dummy example
+- Added surrogate model fit args to BO optimizer
+- Added random interleaving
+- Added seed setting for cuda
+- Added incumbent plotting
+- Added helper libraries for other helpers
+- Added functionality to also check for isomorphisms in history
+- Added log file
+- Added more logging
+- Added error handling for random sampler and removed some deepcopying
+- Added some special cases
+- Added mutation acq optimizer & moved misc to utils
+- Added sum kernel to GP
+- Add metahyper to pyproject.toml
+
+### Changed
+- Update v0.2.0
+- Bug fix
+- Update training pipeline
+- Fix bug
+- Return two booleans in crossover
+- Bug fix
+- Move theta_vector related stuff to combine kernel, apply SMAC lengthscale
+- Check whether pipeline_space object supports dimensionality split, check whether loaded result is failed
+- Dynamic programming for search space computation
+- Fixed remaining mypy errors in graph grammar
+- Bug fix
+- Fixed more mypy errors
+- Resolved merge conflict
+- Try to fix poetry install in actions
+- Type api
+- Rename base_optimizer
+- Allow manual trigger
+- Fixed some mypy errors
+- Bug fix
+- Fix pylint warnings
+- Move from automl to automl-private
+- Move to automl from automl-private
+- Change to automl from automl-private
+- Update mypy
+- Move build system toml part
+- Set copyright to general contributors
+- Document ci in CONTRIBUTING
+- Activate tests on push
+- Rename ci
+- Rename ci
+- Rename ci
+- Improve editorconfig documentation
+- Save & read seed states
+- Small bug fixes
+- Improve readme formulations
+- Improve pylint ignore warnings section
+- Improve dev practices and tooling section
+- Improve developer installation section
+- Improve tooling tips in CONTRIBUTING
+- Apply absolufiy to force relative imports
+- Improve content of CONTRIBUTING.md
+- Improve content of CONTRIBUTING.md
+- Subgraphs is not unrolled anymore
+- Also support list as x input for graphs
+- Change default value
+- Bug fix for log-EI
+- Update CONTRIBUTING format and examples guideline
+- Change default mutation to simple
+- Move example descriptions to example README
+- In readme use new style of searchspace construction
+- Update README.md
+- Bug fixes for RE
+- Adjust example for hierarchical NAS for the new metahyper
+- Adjust example for NASHPO for the new metahyper
+- Make hyperparameters attribute public
+- Let pipeline space be defined as dict
+- Apply pre-commit
+- Update example to use new metahyper
+- Make methods private
+- Make function calls private
+- Update README
+- Slim down readme
+- Update readme, add example readme
+- Update gitignore
+- Delete old optimizer abc
+- Use list for pylint config
+- Update pylint
+- Update pyupgrade
+- Update isort
+- Apply new black version
+- Update black version
+- Reorder pre-commit hooks
+- Change name to neps
+- Exclude hyperparameters_architecture from tests for now
+- Adjust graph_dense to the changes in graph_grammar
+- Merge
+- Update examples script, add hpo+nas
+- Last naming changes
+- Change of search_space initalization and other changes that follow
+- Changes in graphs according to the changes of parent classes
+- Adjust numerical parameters to the changes in parent classes
+- Naming change hyperparameter to parameter (of a search space)
+- Upload augmentation lib
+- Relative path
+- To f-string
+- Sync graph_dense with the new graphgrammer implementation
+- Switch to value
+- Update training pipeline
+- Only allow up to python 3.8
+- Fix deprecation warning of cholesky
+- Copy ResNet Down Block over to graph dense
+- Move constrained CFG
+- Bug fix
+- Bump version for metahyper
+- Update README
+- Bump metahyper version
+- Allow for plotting of temporary results and added axis argument
+- Fix evolution bug
+- Fix bugs
+- Change metahyper branch to master
+- Cleanup
+- Live_logging does not work for now
+- Also rename RS pool_size -> n_candidates
+- Fix evolution sampler fitness standardization
+- Adjusted BO including renamings.
+- Update contributing guidelines
+- Work towards new api
+- More options for initial samples of evolution acq optimizer
+- Make graph flattening optional and fix to_pytorch bug
+- Renaming get_graph -> get_graphs
+- Change parsing for search_space
+- Base hpo benchmarks on new api
+- Check back-compatibility, fix name missmatch
+- Cleanup
+- Fixes of mutation and crossover
+- Fix crossover bug
+- Also handle concat comb op and subgraphs
+- Small fix
+- Moved utility class to hierarchical benchmarks
+- More consistent with non-api case
+- Rename folder
+- Bug fix
+- Plot shaded region instead of bars
+- Changed name of objective to search space
+- More refactoring of benchmarks
+- Change BO from max to min
+- Update benchmark sampling method name
+- Update gitignore
+- Refactor of hpo benchamrks
+- Refactor of hpo benchamrks
+- Small change
+- Small fixes
+- Small adjustments to new design and minor bug fix
+- Fixed bugs in pytorch model generation
+- Refactor hartmann6 for seperate objective_fn
+- Small check if depth constraints match to nonterminals
+- Bug fixes in pytorch model generation
+- Refactor evaluation of seed in its own fn
+- Update benchmarks for refactoring
+- Update benchmarks before refactor
+- Small fixes
+- Moved graph grammar core here and changed directory structure
+- Quick fix
+- Changed computational flow to be compatible with new evolutionary acqusition optimizers etc.
+- Avoid side effect on save_path
+- Renamed bo->bayesia_optimization and rs->random_search
+- Sort keys for plotting
+- Delete empty __init__
+- Move torch install utils to comp_nas/utils
+- Make return opt_details truly optional
+- Changed python version
+- Changed python version
+- Moved import to top
+- Small bug fix when there are not model proposals
+- Small fix if no model-based proposal is used
+- Use std error instead of std dev
+- Always write out csv
+- Online csv writing
+- Small changes
+- Reuse kernels while kernel fitting and addedparallelized version oof EI
+- Shorten argument help, since choices are provided
+- Fix typo
+- New default values
+- Do not use property annotations for getter
+- Avoid computing inc in EI over and over again
+- Bug fix in mutation acq opt
+- Updated README and added error messages
+- Bug fix of mutation acq optimizer and minor changes in GP
+- Changed default values
+- Run formating on torch_install.py
+- Avoid error log for HPO kernels and return more information from BO optimizer
+- FIX naming bug
+- Check if we have list/tuple containing multiple graphs
+- Replaced Union with Iterable
+- Quick bug fix
+- Small changes and fixed minor issue in GP
+- Renamed folder & removed initial_design folder
+- Move plotting out of BO
+- Return opt details dict & added arguments
+- ADD nasbenches in NASLib style, query accepts API now.
+- Merge
+- Move utils to surrogate models and added acqusition optimizer base class
+- Renamed kernel folder
+- HPO benchmarks follow NASLib now
+- HPO benchmarks follow NASLib now
+- FIX gp bug
+- Complete changes, joint representation for a configuration (before switching to NASLib object). Framework tested on all the benchmarks (nb301 gives an error for the check weights.is_leaf == True, commented out for now). ADD nbconfigfiles for running nasbenches (.pth file needed for nb201, .model file needed for nb301).
+- Complete changes, joint representation for a configuration (before switching to NASLib object). Framework tested on all the benchmarks (nb301 gives an error for the check weights.is_leaf == True, commented out for now). ADD nbconfigfiles for running nasbenches (.pth file needed for nb201, .model file needed for nb301).
+- Use black profile for isort
+- Changed folder name
+- New software design for NAS optimizers
+- More clean-ups
+- ADD nasbenches
+- Initial commit
+- Initial commit
+
+### Fixed
+- Fix access to theta_vector in case of no vectorial features
+- Fix test bug
+- Fix lengthscale parameter for stationary kernels, add split dimensionality for search space and kernels (for now only default categorical/continuous split
+- Fix for-else unnecessary
+- Fix mypy for pre-commit run -a
+- Fix typo in acquisition
+- Fix pylint warning
+- Fix bug in the search space mutation
+- Fix old name
+- Fix typo
+- Fix readme indents
+- Fix imports in examples
+- Fix new_result and get_config for metahyper communication
+- Fix seeding for benchmarks
+- Fix typo
+- Fix isort not_skip depreciation
+
+### Removed
+- Remove unnecessary args in README
+- Remove unnecessary args in examples
+- Remove worker init fn argument
+- Remove license section in README
+- Remove more legacy torch import guards
+- Remove install_dev_utils add commands to CONTRIBUTING
+- Remove pytest comments in pre commit
+- Remove torch import guard and add it to api.py
+- Remove latex from editorconfig
+- Remove attr
+- Remove query from graph
+- Remove _id for hps
+- Remove all imports to hierarchical_nas_benchmarks
+- Remove hierarchical_nas_benchmarks dependencies in hierarchical architecture example
+- Remove other hierarchical_nas_benchmarks dependencies in graph_dense
+- Remove duplication of BO class
+- Remove rng passing, add simple mutation for hps
+- Remove rng passing, add simple mutation for hps
+- Remove results from repo
+- Removed unnecessary arguments
+- Remove previously used argument
+- Removed deepcopying config over and over again
+- Remove torch packages from pyproject, add install util
+- Remove pylint comments
+- Removed wildcard import
+- Removed logs and results
+
+[unreleased]: https://github.com///compare/v0.14.0...HEAD
+[0.14.0]: https://github.com///compare/v0.13.0...v0.14.0
+[0.13.0]: https://github.com///compare/v0.12.2...v0.13.0
+[0.12.2]: https://github.com///compare/v0.12.1...v0.12.2
+[0.12.1]: https://github.com///compare/v0.12.0...v0.12.1
+[0.12.0]: https://github.com///compare/v0.11.1...v0.12.0
+[0.11.1]: https://github.com///compare/v0.11.0...v0.11.1
+[0.11.0]: https://github.com///compare/v0.10.0...v0.11.0
+[0.10.0]: https://github.com///compare/v0.8.4...v0.10.0
+[0.8.4]: https://github.com///compare/v0.8.3...v0.8.4
+[0.8.3]: https://github.com///compare/v0.8.2...v0.8.3
+[0.8.2]: https://github.com///compare/v0.8.1...v0.8.2
+[0.8.1]: https://github.com///compare/v0.8.0...v0.8.1
+[0.8.0]: https://github.com///compare/v0.7.0...v0.8.0
+[0.7.0]: https://github.com///compare/v0.6.1...v0.7.0
+[0.6.1]: https://github.com///compare/v0.6.0...v0.6.1
+[0.6.0]: https://github.com///compare/v0.5.1...v0.6.0
+[0.5.1]: https://github.com///compare/v0.5.0...v0.5.1
+[0.5.0]: https://github.com///compare/v0.4.10...v0.5.0
+[0.4.10]: https://github.com///compare/v0.4.9...v0.4.10
+[0.4.9]: https://github.com///compare/v0.4.8...v0.4.9
+[0.4.8]: https://github.com///compare/v0.4.7...v0.4.8
+[0.4.7]: https://github.com///compare/v0.4.6...v0.4.7
+[0.4.6]: https://github.com///compare/v0.4.5...v0.4.6
+[0.4.5]: https://github.com///compare/v0.4.4...v0.4.5
+[0.4.4]: https://github.com///compare/v0.4.3...v0.4.4
+[0.4.3]: https://github.com///compare/v0.4.2...v0.4.3
+[0.4.2]: https://github.com///compare/v0.4.1...v0.4.2
+[0.4.1]: https://github.com///compare/v0.4.0...v0.4.1
+[0.4.0]: https://github.com///compare/v0.3.3...v0.4.0
+[0.3.3]: https://github.com///compare/v0.3.2...v0.3.3
+[0.3.2]: https://github.com///compare/v0.3.1...v0.3.2
+[0.3.1]: https://github.com///compare/v0.3.0...v0.3.1
+[0.3.0]: https://github.com///compare/v0.2.0...v0.3.0
+
+<!-- generated by git-cliff -->
diff --git a/cliff.toml b/cliff.toml
new file mode 100644
index 00000000..4db082d6
--- /dev/null
+++ b/cliff.toml
@@ -0,0 +1,111 @@
+# git-cliff ~ configuration file
+# https://git-cliff.org/docs/configuration
+
+[changelog]
+# A Tera template to be rendered as the changelog's header.
+# See https://keats.github.io/tera/docs/#introduction
+header = """
+# Changelog\n
+All notable changes to this project will be documented in this file.
+
+The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
+and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).\n
+"""
+# A Tera template to be rendered for each release in the changelog.
+# See https://keats.github.io/tera/docs/#introduction
+body = """
+{%- macro remote_url() -%}
+  https://github.com/{{ remote.github.owner }}/{{ remote.github.repo }}
+{%- endmacro -%}
+
+{% if version -%}
+    ## [{{ version | trim_start_matches(pat="v") }}] - {{ timestamp | date(format="%Y-%m-%d") }}
+{% else -%}
+    ## [Unreleased]
+{% endif -%}
+
+{% for group, commits in commits | group_by(attribute="group") %}
+    ### {{ group | upper_first }}
+    {%- for commit in commits %}
+        - {{ commit.message | split(pat="\n") | first | upper_first | trim }}\
+            {% if commit.remote.username %} by @{{ commit.remote.username }}{%- endif -%}
+            {% if commit.remote.pr_number %} in \
+            [#{{ commit.remote.pr_number }}]({{ self::remote_url() }}/pull/{{ commit.remote.pr_number }}) \
+            {%- endif -%}
+    {% endfor %}
+{% endfor %}
+
+{%- if github.contributors | filter(attribute="is_first_time", value=true) | length != 0 %}
+    ### New Contributors
+{%- endif -%}
+
+{% for contributor in github.contributors | filter(attribute="is_first_time", value=true) %}
+  * @{{ contributor.username }} made their first contribution
+    {%- if contributor.pr_number %} in \
+      [#{{ contributor.pr_number }}]({{ self::remote_url() }}/pull/{{ contributor.pr_number }}) \
+    {%- endif %}
+{%- endfor %}\n
+
+{%- if github.contributors | filter(attribute="is_first_time", value=true) | length != 0 %}{% raw %}\n{% endraw -%}{% endif %}
+
+"""
+# A Tera template to be rendered as the changelog's footer.
+# See https://keats.github.io/tera/docs/#introduction
+footer = """
+{%- macro remote_url() -%}
+  https://github.com/{{ remote.github.owner }}/{{ remote.github.repo }}
+{%- endmacro -%}
+
+{% for release in releases -%}
+    {% if release.version -%}
+        {% if release.previous.version -%}
+            [{{ release.version | trim_start_matches(pat="v") }}]: \
+                {{ self::remote_url() }}/compare/{{ release.previous.version }}...{{ release.version }}
+        {% endif -%}
+    {% else -%}
+        
+        [unreleased]: {{ self::remote_url() }}/compare/{{ release.previous.version }}...HEAD
+    {% endif -%}
+{% endfor %}
+<!-- generated by git-cliff -->
+"""
+# Remove leading and trailing whitespaces from the changelog's body.
+trim = true
+
+[git]
+# Parse commits according to the conventional commits specification.
+# See https://www.conventionalcommits.org
+conventional_commits = true
+# Exclude commits that do not match the conventional commits specification.
+filter_unconventional = false
+# An array of regex based parsers to modify commit messages prior to further processing.
+commit_preprocessors = [
+  # Remove issue numbers.
+  { pattern = '\((\w+\s)?#([0-9]+)\)', replace = "" },
+]
+# An array of regex based parsers for extracting data from the commit message.
+# Assigns commits to groups.
+# Optionally sets the commit's scope and can decide to exclude commits from further processing.
+commit_parsers = [
+  { message = "^[a|A]dd", group = "Added" },
+  { message = "^[s|S]upport", group = "Added" },
+  { message = "^[r|R]emove", group = "Removed" },
+  { message = "^.*: add", group = "Added" },
+  { message = "^.*: support", group = "Added" },
+  { message = "^.*: remove", group = "Removed" },
+  { message = "^.*: delete", group = "Removed" },
+  { message = "^test", group = "Fixed" },
+  { message = "^fix", group = "Fixed" },
+  { message = "^.*: fix", group = "Fixed" },
+  { message = "^Merge branch", skip=true },
+  { message = "^chore: update changelog", skip=true },
+  { message = "^.*", group = "Changed" }
+]
+# Exclude commits that are not matched by any commit parser.
+filter_commits = false
+# Order releases topologically instead of chronologically.
+topo_order = false
+# Order of commits in each group/release within the changelog.
+# Allowed values: newest, oldest
+sort_commits = "newest"
+tag_pattern = "v[0-9].*"