* feat: add logger to abstract data operation implementation

* feat: add default pca fall back on fit error

* style: add comment about a fast_ica workaround

* feat: add convergence warning interception, defaulting to additive ets

* feat: add correct_params tag to ets

* pin scipy version

* pin gensim version

* pin unyanked scipy version

* pin scipy versions to python versions

* simplify pin for scipy

* fix: add positive appropriation for a window_size param

* test: test positive _window_size in topo extractor

* Update target_array check in data.py

* fix: change ets seasonal_periods search space

* feat: add ETSModel params validation

* fix: add logging on action of params change

* fix: resolve gensim dependency to a specific commit

Fixes #4567

custom link fix

Jupiter docker added, docker folder created, docker files moved to that folder, readme created (#1271)

* Jupiter docker file added, docker folder added, docker files moved to the docker folder

* readme updated

* Docs fixes

* Missed logloss test added

* Cache cleaning implemented for tests

* Update sktime version matching to Support Python 3.11 and 3.12 installation

* Pin sktime version to 0.24.2

* test with different python version specifiers

* Version upd

* Bug fixes

* Cache clear feature

Moved ripser to extra-dependencies

Added a report on time consuming in API. The following steps are presented in this report:
- 'Data Definition (fit)': Time spent on data definition in fit().
- 'Data Preprocessing': Total time spent on preprocessing data, includes fitting and predicting stages.
- 'Fitting (summary)': Total time spent on Composing, Tuning and Training Inference.
- 'Composing': Time spent on searching for the best pipeline.
- 'Train Inference': Time spent on training the pipeline found during composing.
- 'Tuning (composing)': Time spent on hyperparameters tuning in the whole fitting, if with_tune is True.
- 'Tuning (after)': Time spent on .tune() (hyperparameters tuning) after composing.
- 'Data Definition (predict)': Time spent on data definition in predict().
- 'Predicting': Time spent on predicting (inference).

Bumps [readthedocs-sphinx-search](https://github.com/readthedocs/readthedocs-sphinx-search) from 0.1.1 to 0.3.2.
- [Changelog](https://github.com/readthedocs/readthedocs-sphinx-search/blob/main/CHANGELOG.rst)
- [Commits](https://github.com/readthedocs/readthedocs-sphinx-search/compare/0.1.1...0.3.2

)

---
updated-dependencies:
- dependency-name: readthedocs-sphinx-search
  dependency-type: direct:production
...
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

* Create deleteme.md

* Delete deleteme.md

* Change permissions to read in slash-command-dispatch.yml

* Automated autopep8 fixes

* Change BaseException to Exception

* remove backslash

* remove backslashes

* remove backslashes

* Automated autopep8 fixes

* Fix E501

* Fix backslash

* add ignore imports for autopep8

* restore numpy import

* Automated autopep8 fixes

* Fix E402

* Automated autopep8 fixes

* fix parentheses

---------
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

* add fast topo

* fix fast topo

* Automated autopep8 fixes

* pep8

* add to initial assumption

* make code more clear in `fit` method

* add `fast_topoligical_features` to docs

* fix aligment for pipeline builders in `TSForecastingAssumptions`

* add topo to `FedotBuilder` docs

* fix table in docs

* add params to fast_topo

* change params and add it to tuner search space

* fix integration tests

* add new param stride

* fix param

* dirty speedup

* delete ica from initial assumption due to instability

* fix documentation

* fix test

* delete fast_topo from assumption and delete fast_train tag

---------
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

topo hotfix

TopologicalFeaturesImplementation was added

* Change permission to read in slash-command-dispatch.yml

* Change permission to none in slash-command-dispatch.yml

* Change trigger event from push to PR in autopep8.yml

* Fix test badges in Rus README

* Fix test badges in Eng README

* Create autopep8.yml

* Create slash-command-dispatch.yml

* Create fix-pep8-command.yml

* changed to not leave comment after fix

* Create PULL_REQUEST_TEMPLATE.md

* Create CONTRIBUTING.md

* Create CODE_OF_CONDUCT.md

* Create config.yml

* Create bug_report.md

* Create feature_request.md

* Create documentation.md

* set `sparse_lagged` window to autotune

* disable `test_models_does_not_fall_on_constant_data` for `cgru` (#1240)

* split `test_api_example` to some tests

* pep8

* increase data length for test

* add window size selector

* forbid lagged window mutation in `parameter_change_mutation`

* fix error with `ndim > 1`

* another way to default window size definition

* fix test

* fix problems with unproper window and fitted assumption

* fix lagged names in mutation

* pep8

* add tests

* add test

* new tests

* fix

* fix

* experiment

* experiment

* experiment

* experiment

* fix test

* Update fedot/core/composer/gp_composer/specific_operators.py

* Apply suggestions to lagged implementation from code review

* FIx test

* pep8

* Fix test

* API tests refactored

* CGRU test temporary disabled

* TSF example fix

* docs: add operations list

* fix: replace *Implementation with model labels

* fix: move model table to Models used section

* docs: divide preprocessing operations into selection, expansion, extraction

* feat: add available_operations to API

* feat: check all operations have doc reference

* fix: read doc file into a string in a documented ops check

* fix: join preprocessing ops into data transformation group

* fix: fedot native operations
Co-authored-by: Sergey <kus7466@gmail.com>

* fix: typos and operations problems

* feat: add presets to ops table

* feat: check all presets are documented

* fix: rm duplicate documented operations check

---------
Co-authored-by: Sergey <kus7466@gmail.com>