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+%global _empty_manifest_terminate_build 0
+Name:		python-ballet
+Version:	0.19.5
+Release:	1
+Summary:	Core functionality for lightweight, collaborative data science projects
+License:	MIT license
+URL:		https://github.com/ballet/ballet
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/a6/00/405612a825efa4dac5524a14501cdbff0426ad22bc24e98bfb0e945876f5/ballet-0.19.5.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-black
+Requires:	python3-cookiecutter
+Requires:	python3-Click
+Requires:	python3-dill
+Requires:	python3-dynaconf
+Requires:	python3-funcy
+Requires:	python3-gitpython
+Requires:	python3-h5py
+Requires:	python3-numpy
+Requires:	python3-packaging
+Requires:	python3-pandas
+Requires:	python3-pygithub
+Requires:	python3-slugify
+Requires:	python3-pyyaml
+Requires:	python3-requests
+Requires:	python3-scipy
+Requires:	python3-sklearn-pandas
+Requires:	python3-stacklog
+Requires:	python3-tqdm
+Requires:	python3-dataclasses
+Requires:	python3-scikit-learn
+Requires:	python3-scikit-learn
+Requires:	python3-category-encoders
+Requires:	python3-feature-engine
+Requires:	python3-featuretools-sklearn-transformer
+Requires:	python3-skits
+Requires:	python3-tsfresh
+Requires:	python3-category-encoders
+Requires:	python3-types-pkg-resources
+Requires:	python3-types-requests
+Requires:	python3-types-python-slugify
+Requires:	python3-bump2version
+Requires:	python3-pip
+Requires:	python3-watchdog[watchmedo]
+Requires:	python3-invoke
+Requires:	python3-mypy
+Requires:	python3-m2r2
+Requires:	python3-sphinx
+Requires:	python3-sphinx-rtd-theme
+Requires:	python3-sphinx-click
+Requires:	python3-sphinx-autodoc-typehints
+Requires:	python3-sphinx-copybutton
+Requires:	python3-rstcheck
+Requires:	python3-flake8
+Requires:	python3-isort
+Requires:	python3-autopep8
+Requires:	python3-twine
+Requires:	python3-wheel
+Requires:	python3-coverage
+Requires:	python3-pytest
+Requires:	python3-pytest-cov
+Requires:	python3-pytest-virtualenv
+Requires:	python3-tox
+Requires:	python3-responses
+Requires:	python3-feature-engine
+Requires:	python3-featuretools-sklearn-transformer
+Requires:	python3-skits
+Requires:	python3-coverage
+Requires:	python3-pytest
+Requires:	python3-pytest-cov
+Requires:	python3-pytest-virtualenv
+Requires:	python3-tox
+Requires:	python3-responses
+Requires:	python3-tsfresh
+
+%description
+[![PyPI Shield](https://img.shields.io/pypi/v/ballet.svg)](https://pypi.org/project/ballet)
+[![Tests](https://github.com/ballet/ballet/workflows/Tests/badge.svg)](https://github.com/ballet/ballet/actions?query=workflow%3A%22Tests%22)
+[![codecov Shield](https://codecov.io/gh/ballet/ballet/branch/master/graph/badge.svg)](https://codecov.io/gh/ballet/ballet)
+
+
+# ballet
+
+A **light**weight framework for collaborative, open-source data science
+projects through **feat**ure engineering.
+
+- Free software: MIT license
+- Documentation: https://ballet.github.io/ballet
+- Homepage: https://github.com/ballet/ballet
+
+## Overview
+
+Do you develop machine learning models? Do you work by yourself or on a team?
+Do you share notebooks or are you committing code to a shared repository? In
+contrast to successful, massively collaborative, open-source projects like
+the Linux kernel, the Rails framework, Firefox, GNU, or Tensorflow, most
+data science projects are developed by just a handful of people. But think if
+the open-source community could leverage its ingenuity and determination to
+collaboratively develop data science projects to predict the incidence of
+disease in a population, to predict whether vulnerable children will be evicted
+from their homes, or to predict whether learners will drop out of online
+courses.
+
+Our vision is to make collaborative data science possible by making it more
+like open-source software development. Our approach is based on decomposing the
+data science process into modular patches
+that can then be intelligently combined, representing objects like "feature definition",
+"labeling function", or "prediction task definition". Collaborators work in
+parallel to write patches and submit them to a repo. The core Ballet framework
+provides the underlying functionality to merge high-quality contributions,
+collect modules from the file system, and compose the accepted contributions
+into a single product. It also provides [Assemblé](https://github.com/ballet/ballet-assemble), a familiar notebook-based development
+experience that is friendly to data scientists and other inexperienced
+open-source contributors. We don't require any computing infrastructure beyond
+that which is commonly used in open-source software development.
+
+Currently, Ballet focuses on supporting collaboratively developing
+*feature engineering pipelines*, an important part of many data science
+projects. Individual feature definitions are represented as separate Python modules,
+declaring the subset of a dataframe that they operate on and a
+scikit-learn-style learned transformer that extracts feature values from the
+raw data. Ballet collects individual feature definitions and composes them into a
+feature engineering pipeline. At any point, a project built on Ballet can be
+installed for end-to-end feature engineering on new data instances for the
+same problem. How do we ensure the feature engineering pipeline is always
+useful? Ballet thoroughly validates proposed feature definitions for correctness and
+machine learning performance, using an extensive test suite and a novel
+streaming feature definition selection algorithm. Accepted feature definitions can be
+automatically merged by the [Ballet Bot](https://github.com/ballet/ballet-bot) into projects.
+
+<img src="./docs/_static/feature_lifecycle.png" alt="Ballet Feature Lifecycle" width="400" />
+
+## Next steps
+
+*Are you a data owner or project maintainer that wants to organize a
+collaboration?*
+
+👉 Check out the [Ballet Maintainer Guide](https://ballet.github.io/ballet/maintainer_guide.html)
+
+*Are you a data scientist or enthusiast that wants to join a collaboration?*
+
+👉 Check out the [Ballet Contributor Guide](https://ballet.github.io/ballet/contributor_guide.html)
+
+*Want to learn about how Ballet enables Better Feature Engineering™️?*
+
+👉 Check out the [Feature Engineering Guide](https://ballet.github.io/ballet/feature_engineering_guide.html)
+
+*Want to see a demo collaboration in progress and maybe even participate yourself?*
+
+👉 Check out the [ballet-predict-house-prices](https://github.com/HDI-Project/ballet-predict-house-prices) project
+
+## Source code organization
+
+This is a quick overview to the Ballet core source code organization. For more information about contributing to Ballet core itself, see [here](https://ballet.github.io/ballet/contributing.html).
+
+| path | description |
+| ---- | ----------- |
+| [`cli.py`](ballet/cli.py) | the `ballet` command line utility |
+| [`client.py`](ballet/client.py) | the interactive client for users |
+| [`contrib.py`](ballet/contrib.py) | collecting feature definitions from individual modules in source files in the file system |
+| [`eng/base.py`](ballet/eng/base.py) | abstractions for transformers used in feature definitions, such as `BaseTransformer` |
+| [`eng/{misc,missing,ts}.py`](ballet/eng/) | custom transformers for missing data, time series problems, and more |
+| [`eng/external.py`](ballet/eng/external.py) | re-export of transformers from external libraries such as scikit-learn and feature_engine |
+| [`feature.py`](ballet/feature.py) | the `Feature` abstraction |
+| [`pipeline.py`](ballet/pipeline.py) | the `FeatureEngineeringPipeline` abstraction |
+| [`project.py`](ballet/project.py) | the interface between a specific Ballet project and the core Ballet library, such as utilities to load project-specific information and the `Project` abstraction |
+| [`templates/`](ballet/templates/) | cookiecutter templates for creating a new Ballet project or creating a new feature definition |
+| [`templating.py`](ballet/templating.py) | user-facing functionality on top of the templates |
+| [`transformer.py`](ballet/transformer.py) | wrappers for transformers that make them play nicely together in a pipeline |
+| [`update.py`](ballet/update.py) | functionality to update the project template from a new upstream release |
+| [`util/`](ballet/util/) | various utilities |
+| [`validation/main.py`](ballet/validation/main.py) | entry point for all validation routines |
+| [`validation/base.py`](ballet/validation/base.py) | abstractions used in validation such as the `FeaturePerformanceEvaluator` |
+| [`validation/common.py`](ballet/validation/common.py) | common functionality used in validation, such as the ability to collect relevant changes between a current environment and a reference environment (such as a pull request vs a default branch) |
+| [`validation/entropy.py`](ballet/validation/entropy.py) | statistical estimation routines used in feature definition selection algorithms, such as estimators for entropy, mutual information, and conditional mutual information |
+| [`validation/feature_acceptance/`](ballet/validation/feature_acceptance/) | validation routines for feature acceptance
+| [`validation/feature_pruning/`](ballet/validation/feature_pruning/) | validation routines for feature pruning |
+| [`validation/feature_api/`](ballet/validation/feature_api/) | validation routines for feature APIs |
+| [`validation/project_structure/`](ballet/validation/project_structure/) | validation routines for project structure |
+
+
+# History
+
+## 0.19.5 (2021-07-17)
+
+* Fix bug with deepcopying `ballet.pipeline.FeatureEngineeringPipeline`
+
+## 0.19.4 (2021-07-17)
+
+* Fix bug with deepcopying `ballet.eng.base.SubsetTransformer` ([#90](https://github.com/ballet/ballet/issues/90))
+* Add `ballet.drop_missing_targets` primitive
+
+## 0.19.3 (2021-06-28)
+
+* Support missing targets in discovery and feature performance evaluation ([#89](https://github.com/ballet/ballet/pull/89))
+* Add `ninputs` to summary statistics in `ballet.discovery.discover`
+
+## 0.19.2 (2021-06-21)
+
+* Improve discrete column detection in the case of many repeated values
+* Add `ncontinuous` and `ndiscrete` to summary statistics in `ballet.discovery.discover`
+
+## 0.19.1 (2021-06-20)
+
+* Defer computation of some expensive summary statistics in `ballet.discovery.discover`
+
+## 0.19.0 (2021-06-16)
+
+* Support callable as feature input ([#88](https://github.com/ballet/ballet/pull/88))
+
+## 0.18.0 (2021-06-06)
+
+* Added [Consumer Guide](https://ballet.github.io/ballet/consumer_guide.html)
+* Can use Ballet together with MLBlocks to engineer features and then use additional preprocessing and ML components ([#86](https://github.com/ballet/ballet/pull/86))
+* Can wrap the extracted feature matrix in a data frame with named columns derived from ``feature.output`` or ``feature.name``
+* Implemented `ballet.encoder.EncoderPipeline` to (mostly) mirror `ballet.pipeline.FeatureEngineeringPipeline`
+* Can specify the dataset used for fitting the pipeline in the engineer-features CLI via `--train-dir path/to/train/dir`
+
+## 0.17.0 (2021-05-24)
+
+* Support nested transformers, both with nested features and with input/transformer tuples wrapped with SubsetTransformers ([#82](https://github.com/ballet/ballet/pull/82))
+* Allow `Client.discover` to skip summary statistics if development dataset cannot be loaded or if features produce errors
+
+## 0.16.0 (2021-05-22)
+
+* Add `Client.discover` functionality ([#80](https://github.com/ballet/ballet/pull/80))
+* Switch the order of `NullFiller` parameters to more closely resemble `fillna` signature
+
+## 0.15.2 (2021-05-14)
+
+* Operate columnwise in `VarianceThresholdAccepter`, rather than computing the variance of
+    the entire feature group.
+
+## 0.15.1 (2021-05-12)
+
+* Add debug logging for new accepters
+
+## 0.15.0 (2021-05-12)
+
+* Add `VarianceThresholdAccepter`, `MutualInformationAccepter`, and `CompoundAccepter` ([#76](https://github.com/ballet/ballet/pull/76))
+
+## 0.14.0 (2021-05-11)
+
+* Support using holdout data splits in validation ([#75](https://github.com/ballet/ballet/pull/75))
+* Fix CLI program name in projects ([#74](https://github.com/ballet/ballet/pull/74))
+* Fix bug with `load_config` usage in python REPL ([#73](https://github.com/ballet/ballet/pull/73))
+* Reorganize external feature engineering primitives to `ballet/eng/external/**.py`. Imports like `from ballet.eng.external import MyPrimitive` are unaffected.
+
+## 0.13.1 (2021-04-02)
+
+* Fix upgrade check in `ballet update-project-template` to migrate away from deprecated PyPI XML-RPC API.
+
+## 0.13.0 (2021-03-30)
+
+* Fix links in project template
+
+## 0.12.0 (2021-03-10)
+
+* Automate creation of GitHub repository in quickstart
+
+## 0.11.0 (2021-03-04)
+
+* Allow validation to be run from topic branches locally
+
+## 0.10.0 (2021-02-23)
+
+* Add `Project.version` property
+
+## 0.9.0 (2021-02-16)
+
+* Add support for managed branching via `ballet start-new-feature --branching` (defaults to enabled)
+* Remove confusing `ballet.project.config` attribute
+* Implement `ballet.project.load_config` as a better alternative, and use this in the project template's `load_data`
+
+## 0.8.2 (2021-02-16)
+
+* Fix bug with `str(t)` or `repr(t)` for `DelegatingRobustTransformer`
+
+## 0.8.1 (2021-02-16)
+
+* Fix bug with `str(t)` or `repr(t)` for `SimpleFunctionTransformer`
+
+## 0.8.0 (2021-02-02)
+
+* Fix bug with detecting updates to Ballet due to PyPI API outage
+* Fix some dependency conflicts
+* Reference ballet-assemble in project template
+* Bump feature_engine to 1.0
+
+## 0.7.11 (2020-09-16)
+
+* Reduce verbosity of conversion approach logging by moving some messages to TRACE level
+* Implement "else" transformer for `ConditionalTransformer`
+* Improve GFSSF iteration logging
+
+## 0.7.10 (2020-09-08)
+
+* Fix bug with different treatment of y_df and y; now, y_df is passed to the feature engineering pipeline, and y is passed to the feature validation routines as applicable.
+* Switch back to using Gitter
+
+## 0.7.9 (2020-08-15)
+
+* Add give_advice feature for FeatureAPICheck and other checks to log message on how to fix failure
+* Improve logging of GFSSFAccepter and GFSSFPruner
+* Improve `__str__` for DelegatingRobustTransformer and consequently consumers
+* Change default log format to SIMPLE_LOG_FORMAT
+* Various bug fixes and improvements
+
+## 0.7.8 (2020-08-13)
+
+* Add CanTransformNewRowsCheck to feature API checks
+
+## 0.7.7 (2020-08-12)
+
+* Support `None` as the transformer in a `Feature`, it will be automatically converted to an `IdentityTransformer`
+* Implement `ColumnSelector`
+* Update docs
+* Various bug fixes and improvements
+
+## 0.7.6 (2020-08-12)
+
+* Re-export feature engineering primitives from various libraries
+* Show type annotations in docs
+* Update guides
+* Various bug fixes and improvements
+
+## 0.7.5 (2020-08-03)
+
+* Make validator parameters configurable in ballet.yml file (e.g. λ_1 and λ_2 for GFSSF algorithms)
+* Support dynaconf 3.x
+
+## 0.7.4 (2020-07-22)
+
+* Accept logger names, as well as logger instances, in `ballet.util.log.enable`
+* Updated docs
+
+## 0.7.3 (2020-07-21)
+
+* Add `load_data` method with built-in caching to project API
+* Fix bug in GFSSF accepter
+* Always use encoded target during validation
+* Various bug fixes and improvements
+
+## 0.7.2 (2020-07-21)
+
+* Add sample analysis notebook to project template
+* Add binder url/badge to project template
+* Fix bug with enabling logging with multiple loggers
+
+## 0.7.1 (2020-07-20)
+
+* Add client for easy interactive usage (`ballet.b`)
+* Add binder setup to project template
+
+## 0.7 (2020-07-17)
+
+* Revamp project template: update project structure, create single API via FeatureEngineeringProject, use and add support for pyinvoke, revamp build into engineer_features, support repolockr bot
+* Improve ballet.project.Project: can create by ascending from given path, can create from current working directory, can resolve arbitrary project symbol, exposes project's API
+* Check for and notify of new release of ballet during project update (`ballet update-project-template`)
+* Add ComputedValueTransformer to ballet.eng
+* Move stacklog to separate project and install it
+* Add validators that {never,always} accept submissions
+* Add feature API checks to ensure that the feature can fit and transform a single row
+* Add feature engineering guide to documentation and significantly expand contributor guide
+* Add bot installation instructions to maintainer guide
+* Add type annotations throughout
+* Drop support for py35, add support for py38
+* Deprecate modeling code
+* Various bug fixes and improvements
+
+## 0.6 (2019-11-12)
+
+* Implement GFSSF validators and random validators
+* Improve validators and allow validators to be configured in ballet.yml
+* Improve project template
+* Create ballet CLI
+* Bug fixes and performance improvements
+
+## 0.5 (2018-10-14)
+
+* Add project template and ballet-quickstart command
+* Add project structure checks and feature API checks
+* Implement multi-stage validation routine driver
+
+## 0.4 (2018-09-21)
+
+* Implement `Modeler` for versatile modeling and evaluation
+* Change project name
+
+## 0.3 (2018-04-28)
+
+* Implement `PullRequestFeatureValidator`
+* Add `util.travis`, `util.modutil`, `util.git` util modules
+
+## 0.2 (2018-04-11)
+
+* Implement `ArrayLikeEqualityTestingMixin`
+* Implement `collect_contrib_features`
+
+## 0.1 (2018-04-08)
+
+* First release on PyPI
+
+
+
+
+%package -n python3-ballet
+Summary:	Core functionality for lightweight, collaborative data science projects
+Provides:	python-ballet
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-ballet
+[![PyPI Shield](https://img.shields.io/pypi/v/ballet.svg)](https://pypi.org/project/ballet)
+[![Tests](https://github.com/ballet/ballet/workflows/Tests/badge.svg)](https://github.com/ballet/ballet/actions?query=workflow%3A%22Tests%22)
+[![codecov Shield](https://codecov.io/gh/ballet/ballet/branch/master/graph/badge.svg)](https://codecov.io/gh/ballet/ballet)
+
+
+# ballet
+
+A **light**weight framework for collaborative, open-source data science
+projects through **feat**ure engineering.
+
+- Free software: MIT license
+- Documentation: https://ballet.github.io/ballet
+- Homepage: https://github.com/ballet/ballet
+
+## Overview
+
+Do you develop machine learning models? Do you work by yourself or on a team?
+Do you share notebooks or are you committing code to a shared repository? In
+contrast to successful, massively collaborative, open-source projects like
+the Linux kernel, the Rails framework, Firefox, GNU, or Tensorflow, most
+data science projects are developed by just a handful of people. But think if
+the open-source community could leverage its ingenuity and determination to
+collaboratively develop data science projects to predict the incidence of
+disease in a population, to predict whether vulnerable children will be evicted
+from their homes, or to predict whether learners will drop out of online
+courses.
+
+Our vision is to make collaborative data science possible by making it more
+like open-source software development. Our approach is based on decomposing the
+data science process into modular patches
+that can then be intelligently combined, representing objects like "feature definition",
+"labeling function", or "prediction task definition". Collaborators work in
+parallel to write patches and submit them to a repo. The core Ballet framework
+provides the underlying functionality to merge high-quality contributions,
+collect modules from the file system, and compose the accepted contributions
+into a single product. It also provides [Assemblé](https://github.com/ballet/ballet-assemble), a familiar notebook-based development
+experience that is friendly to data scientists and other inexperienced
+open-source contributors. We don't require any computing infrastructure beyond
+that which is commonly used in open-source software development.
+
+Currently, Ballet focuses on supporting collaboratively developing
+*feature engineering pipelines*, an important part of many data science
+projects. Individual feature definitions are represented as separate Python modules,
+declaring the subset of a dataframe that they operate on and a
+scikit-learn-style learned transformer that extracts feature values from the
+raw data. Ballet collects individual feature definitions and composes them into a
+feature engineering pipeline. At any point, a project built on Ballet can be
+installed for end-to-end feature engineering on new data instances for the
+same problem. How do we ensure the feature engineering pipeline is always
+useful? Ballet thoroughly validates proposed feature definitions for correctness and
+machine learning performance, using an extensive test suite and a novel
+streaming feature definition selection algorithm. Accepted feature definitions can be
+automatically merged by the [Ballet Bot](https://github.com/ballet/ballet-bot) into projects.
+
+<img src="./docs/_static/feature_lifecycle.png" alt="Ballet Feature Lifecycle" width="400" />
+
+## Next steps
+
+*Are you a data owner or project maintainer that wants to organize a
+collaboration?*
+
+👉 Check out the [Ballet Maintainer Guide](https://ballet.github.io/ballet/maintainer_guide.html)
+
+*Are you a data scientist or enthusiast that wants to join a collaboration?*
+
+👉 Check out the [Ballet Contributor Guide](https://ballet.github.io/ballet/contributor_guide.html)
+
+*Want to learn about how Ballet enables Better Feature Engineering™️?*
+
+👉 Check out the [Feature Engineering Guide](https://ballet.github.io/ballet/feature_engineering_guide.html)
+
+*Want to see a demo collaboration in progress and maybe even participate yourself?*
+
+👉 Check out the [ballet-predict-house-prices](https://github.com/HDI-Project/ballet-predict-house-prices) project
+
+## Source code organization
+
+This is a quick overview to the Ballet core source code organization. For more information about contributing to Ballet core itself, see [here](https://ballet.github.io/ballet/contributing.html).
+
+| path | description |
+| ---- | ----------- |
+| [`cli.py`](ballet/cli.py) | the `ballet` command line utility |
+| [`client.py`](ballet/client.py) | the interactive client for users |
+| [`contrib.py`](ballet/contrib.py) | collecting feature definitions from individual modules in source files in the file system |
+| [`eng/base.py`](ballet/eng/base.py) | abstractions for transformers used in feature definitions, such as `BaseTransformer` |
+| [`eng/{misc,missing,ts}.py`](ballet/eng/) | custom transformers for missing data, time series problems, and more |
+| [`eng/external.py`](ballet/eng/external.py) | re-export of transformers from external libraries such as scikit-learn and feature_engine |
+| [`feature.py`](ballet/feature.py) | the `Feature` abstraction |
+| [`pipeline.py`](ballet/pipeline.py) | the `FeatureEngineeringPipeline` abstraction |
+| [`project.py`](ballet/project.py) | the interface between a specific Ballet project and the core Ballet library, such as utilities to load project-specific information and the `Project` abstraction |
+| [`templates/`](ballet/templates/) | cookiecutter templates for creating a new Ballet project or creating a new feature definition |
+| [`templating.py`](ballet/templating.py) | user-facing functionality on top of the templates |
+| [`transformer.py`](ballet/transformer.py) | wrappers for transformers that make them play nicely together in a pipeline |
+| [`update.py`](ballet/update.py) | functionality to update the project template from a new upstream release |
+| [`util/`](ballet/util/) | various utilities |
+| [`validation/main.py`](ballet/validation/main.py) | entry point for all validation routines |
+| [`validation/base.py`](ballet/validation/base.py) | abstractions used in validation such as the `FeaturePerformanceEvaluator` |
+| [`validation/common.py`](ballet/validation/common.py) | common functionality used in validation, such as the ability to collect relevant changes between a current environment and a reference environment (such as a pull request vs a default branch) |
+| [`validation/entropy.py`](ballet/validation/entropy.py) | statistical estimation routines used in feature definition selection algorithms, such as estimators for entropy, mutual information, and conditional mutual information |
+| [`validation/feature_acceptance/`](ballet/validation/feature_acceptance/) | validation routines for feature acceptance
+| [`validation/feature_pruning/`](ballet/validation/feature_pruning/) | validation routines for feature pruning |
+| [`validation/feature_api/`](ballet/validation/feature_api/) | validation routines for feature APIs |
+| [`validation/project_structure/`](ballet/validation/project_structure/) | validation routines for project structure |
+
+
+# History
+
+## 0.19.5 (2021-07-17)
+
+* Fix bug with deepcopying `ballet.pipeline.FeatureEngineeringPipeline`
+
+## 0.19.4 (2021-07-17)
+
+* Fix bug with deepcopying `ballet.eng.base.SubsetTransformer` ([#90](https://github.com/ballet/ballet/issues/90))
+* Add `ballet.drop_missing_targets` primitive
+
+## 0.19.3 (2021-06-28)
+
+* Support missing targets in discovery and feature performance evaluation ([#89](https://github.com/ballet/ballet/pull/89))
+* Add `ninputs` to summary statistics in `ballet.discovery.discover`
+
+## 0.19.2 (2021-06-21)
+
+* Improve discrete column detection in the case of many repeated values
+* Add `ncontinuous` and `ndiscrete` to summary statistics in `ballet.discovery.discover`
+
+## 0.19.1 (2021-06-20)
+
+* Defer computation of some expensive summary statistics in `ballet.discovery.discover`
+
+## 0.19.0 (2021-06-16)
+
+* Support callable as feature input ([#88](https://github.com/ballet/ballet/pull/88))
+
+## 0.18.0 (2021-06-06)
+
+* Added [Consumer Guide](https://ballet.github.io/ballet/consumer_guide.html)
+* Can use Ballet together with MLBlocks to engineer features and then use additional preprocessing and ML components ([#86](https://github.com/ballet/ballet/pull/86))
+* Can wrap the extracted feature matrix in a data frame with named columns derived from ``feature.output`` or ``feature.name``
+* Implemented `ballet.encoder.EncoderPipeline` to (mostly) mirror `ballet.pipeline.FeatureEngineeringPipeline`
+* Can specify the dataset used for fitting the pipeline in the engineer-features CLI via `--train-dir path/to/train/dir`
+
+## 0.17.0 (2021-05-24)
+
+* Support nested transformers, both with nested features and with input/transformer tuples wrapped with SubsetTransformers ([#82](https://github.com/ballet/ballet/pull/82))
+* Allow `Client.discover` to skip summary statistics if development dataset cannot be loaded or if features produce errors
+
+## 0.16.0 (2021-05-22)
+
+* Add `Client.discover` functionality ([#80](https://github.com/ballet/ballet/pull/80))
+* Switch the order of `NullFiller` parameters to more closely resemble `fillna` signature
+
+## 0.15.2 (2021-05-14)
+
+* Operate columnwise in `VarianceThresholdAccepter`, rather than computing the variance of
+    the entire feature group.
+
+## 0.15.1 (2021-05-12)
+
+* Add debug logging for new accepters
+
+## 0.15.0 (2021-05-12)
+
+* Add `VarianceThresholdAccepter`, `MutualInformationAccepter`, and `CompoundAccepter` ([#76](https://github.com/ballet/ballet/pull/76))
+
+## 0.14.0 (2021-05-11)
+
+* Support using holdout data splits in validation ([#75](https://github.com/ballet/ballet/pull/75))
+* Fix CLI program name in projects ([#74](https://github.com/ballet/ballet/pull/74))
+* Fix bug with `load_config` usage in python REPL ([#73](https://github.com/ballet/ballet/pull/73))
+* Reorganize external feature engineering primitives to `ballet/eng/external/**.py`. Imports like `from ballet.eng.external import MyPrimitive` are unaffected.
+
+## 0.13.1 (2021-04-02)
+
+* Fix upgrade check in `ballet update-project-template` to migrate away from deprecated PyPI XML-RPC API.
+
+## 0.13.0 (2021-03-30)
+
+* Fix links in project template
+
+## 0.12.0 (2021-03-10)
+
+* Automate creation of GitHub repository in quickstart
+
+## 0.11.0 (2021-03-04)
+
+* Allow validation to be run from topic branches locally
+
+## 0.10.0 (2021-02-23)
+
+* Add `Project.version` property
+
+## 0.9.0 (2021-02-16)
+
+* Add support for managed branching via `ballet start-new-feature --branching` (defaults to enabled)
+* Remove confusing `ballet.project.config` attribute
+* Implement `ballet.project.load_config` as a better alternative, and use this in the project template's `load_data`
+
+## 0.8.2 (2021-02-16)
+
+* Fix bug with `str(t)` or `repr(t)` for `DelegatingRobustTransformer`
+
+## 0.8.1 (2021-02-16)
+
+* Fix bug with `str(t)` or `repr(t)` for `SimpleFunctionTransformer`
+
+## 0.8.0 (2021-02-02)
+
+* Fix bug with detecting updates to Ballet due to PyPI API outage
+* Fix some dependency conflicts
+* Reference ballet-assemble in project template
+* Bump feature_engine to 1.0
+
+## 0.7.11 (2020-09-16)
+
+* Reduce verbosity of conversion approach logging by moving some messages to TRACE level
+* Implement "else" transformer for `ConditionalTransformer`
+* Improve GFSSF iteration logging
+
+## 0.7.10 (2020-09-08)
+
+* Fix bug with different treatment of y_df and y; now, y_df is passed to the feature engineering pipeline, and y is passed to the feature validation routines as applicable.
+* Switch back to using Gitter
+
+## 0.7.9 (2020-08-15)
+
+* Add give_advice feature for FeatureAPICheck and other checks to log message on how to fix failure
+* Improve logging of GFSSFAccepter and GFSSFPruner
+* Improve `__str__` for DelegatingRobustTransformer and consequently consumers
+* Change default log format to SIMPLE_LOG_FORMAT
+* Various bug fixes and improvements
+
+## 0.7.8 (2020-08-13)
+
+* Add CanTransformNewRowsCheck to feature API checks
+
+## 0.7.7 (2020-08-12)
+
+* Support `None` as the transformer in a `Feature`, it will be automatically converted to an `IdentityTransformer`
+* Implement `ColumnSelector`
+* Update docs
+* Various bug fixes and improvements
+
+## 0.7.6 (2020-08-12)
+
+* Re-export feature engineering primitives from various libraries
+* Show type annotations in docs
+* Update guides
+* Various bug fixes and improvements
+
+## 0.7.5 (2020-08-03)
+
+* Make validator parameters configurable in ballet.yml file (e.g. λ_1 and λ_2 for GFSSF algorithms)
+* Support dynaconf 3.x
+
+## 0.7.4 (2020-07-22)
+
+* Accept logger names, as well as logger instances, in `ballet.util.log.enable`
+* Updated docs
+
+## 0.7.3 (2020-07-21)
+
+* Add `load_data` method with built-in caching to project API
+* Fix bug in GFSSF accepter
+* Always use encoded target during validation
+* Various bug fixes and improvements
+
+## 0.7.2 (2020-07-21)
+
+* Add sample analysis notebook to project template
+* Add binder url/badge to project template
+* Fix bug with enabling logging with multiple loggers
+
+## 0.7.1 (2020-07-20)
+
+* Add client for easy interactive usage (`ballet.b`)
+* Add binder setup to project template
+
+## 0.7 (2020-07-17)
+
+* Revamp project template: update project structure, create single API via FeatureEngineeringProject, use and add support for pyinvoke, revamp build into engineer_features, support repolockr bot
+* Improve ballet.project.Project: can create by ascending from given path, can create from current working directory, can resolve arbitrary project symbol, exposes project's API
+* Check for and notify of new release of ballet during project update (`ballet update-project-template`)
+* Add ComputedValueTransformer to ballet.eng
+* Move stacklog to separate project and install it
+* Add validators that {never,always} accept submissions
+* Add feature API checks to ensure that the feature can fit and transform a single row
+* Add feature engineering guide to documentation and significantly expand contributor guide
+* Add bot installation instructions to maintainer guide
+* Add type annotations throughout
+* Drop support for py35, add support for py38
+* Deprecate modeling code
+* Various bug fixes and improvements
+
+## 0.6 (2019-11-12)
+
+* Implement GFSSF validators and random validators
+* Improve validators and allow validators to be configured in ballet.yml
+* Improve project template
+* Create ballet CLI
+* Bug fixes and performance improvements
+
+## 0.5 (2018-10-14)
+
+* Add project template and ballet-quickstart command
+* Add project structure checks and feature API checks
+* Implement multi-stage validation routine driver
+
+## 0.4 (2018-09-21)
+
+* Implement `Modeler` for versatile modeling and evaluation
+* Change project name
+
+## 0.3 (2018-04-28)
+
+* Implement `PullRequestFeatureValidator`
+* Add `util.travis`, `util.modutil`, `util.git` util modules
+
+## 0.2 (2018-04-11)
+
+* Implement `ArrayLikeEqualityTestingMixin`
+* Implement `collect_contrib_features`
+
+## 0.1 (2018-04-08)
+
+* First release on PyPI
+
+
+
+
+%package help
+Summary:	Development documents and examples for ballet
+Provides:	python3-ballet-doc
+%description help
+[![PyPI Shield](https://img.shields.io/pypi/v/ballet.svg)](https://pypi.org/project/ballet)
+[![Tests](https://github.com/ballet/ballet/workflows/Tests/badge.svg)](https://github.com/ballet/ballet/actions?query=workflow%3A%22Tests%22)
+[![codecov Shield](https://codecov.io/gh/ballet/ballet/branch/master/graph/badge.svg)](https://codecov.io/gh/ballet/ballet)
+
+
+# ballet
+
+A **light**weight framework for collaborative, open-source data science
+projects through **feat**ure engineering.
+
+- Free software: MIT license
+- Documentation: https://ballet.github.io/ballet
+- Homepage: https://github.com/ballet/ballet
+
+## Overview
+
+Do you develop machine learning models? Do you work by yourself or on a team?
+Do you share notebooks or are you committing code to a shared repository? In
+contrast to successful, massively collaborative, open-source projects like
+the Linux kernel, the Rails framework, Firefox, GNU, or Tensorflow, most
+data science projects are developed by just a handful of people. But think if
+the open-source community could leverage its ingenuity and determination to
+collaboratively develop data science projects to predict the incidence of
+disease in a population, to predict whether vulnerable children will be evicted
+from their homes, or to predict whether learners will drop out of online
+courses.
+
+Our vision is to make collaborative data science possible by making it more
+like open-source software development. Our approach is based on decomposing the
+data science process into modular patches
+that can then be intelligently combined, representing objects like "feature definition",
+"labeling function", or "prediction task definition". Collaborators work in
+parallel to write patches and submit them to a repo. The core Ballet framework
+provides the underlying functionality to merge high-quality contributions,
+collect modules from the file system, and compose the accepted contributions
+into a single product. It also provides [Assemblé](https://github.com/ballet/ballet-assemble), a familiar notebook-based development
+experience that is friendly to data scientists and other inexperienced
+open-source contributors. We don't require any computing infrastructure beyond
+that which is commonly used in open-source software development.
+
+Currently, Ballet focuses on supporting collaboratively developing
+*feature engineering pipelines*, an important part of many data science
+projects. Individual feature definitions are represented as separate Python modules,
+declaring the subset of a dataframe that they operate on and a
+scikit-learn-style learned transformer that extracts feature values from the
+raw data. Ballet collects individual feature definitions and composes them into a
+feature engineering pipeline. At any point, a project built on Ballet can be
+installed for end-to-end feature engineering on new data instances for the
+same problem. How do we ensure the feature engineering pipeline is always
+useful? Ballet thoroughly validates proposed feature definitions for correctness and
+machine learning performance, using an extensive test suite and a novel
+streaming feature definition selection algorithm. Accepted feature definitions can be
+automatically merged by the [Ballet Bot](https://github.com/ballet/ballet-bot) into projects.
+
+<img src="./docs/_static/feature_lifecycle.png" alt="Ballet Feature Lifecycle" width="400" />
+
+## Next steps
+
+*Are you a data owner or project maintainer that wants to organize a
+collaboration?*
+
+👉 Check out the [Ballet Maintainer Guide](https://ballet.github.io/ballet/maintainer_guide.html)
+
+*Are you a data scientist or enthusiast that wants to join a collaboration?*
+
+👉 Check out the [Ballet Contributor Guide](https://ballet.github.io/ballet/contributor_guide.html)
+
+*Want to learn about how Ballet enables Better Feature Engineering™️?*
+
+👉 Check out the [Feature Engineering Guide](https://ballet.github.io/ballet/feature_engineering_guide.html)
+
+*Want to see a demo collaboration in progress and maybe even participate yourself?*
+
+👉 Check out the [ballet-predict-house-prices](https://github.com/HDI-Project/ballet-predict-house-prices) project
+
+## Source code organization
+
+This is a quick overview to the Ballet core source code organization. For more information about contributing to Ballet core itself, see [here](https://ballet.github.io/ballet/contributing.html).
+
+| path | description |
+| ---- | ----------- |
+| [`cli.py`](ballet/cli.py) | the `ballet` command line utility |
+| [`client.py`](ballet/client.py) | the interactive client for users |
+| [`contrib.py`](ballet/contrib.py) | collecting feature definitions from individual modules in source files in the file system |
+| [`eng/base.py`](ballet/eng/base.py) | abstractions for transformers used in feature definitions, such as `BaseTransformer` |
+| [`eng/{misc,missing,ts}.py`](ballet/eng/) | custom transformers for missing data, time series problems, and more |
+| [`eng/external.py`](ballet/eng/external.py) | re-export of transformers from external libraries such as scikit-learn and feature_engine |
+| [`feature.py`](ballet/feature.py) | the `Feature` abstraction |
+| [`pipeline.py`](ballet/pipeline.py) | the `FeatureEngineeringPipeline` abstraction |
+| [`project.py`](ballet/project.py) | the interface between a specific Ballet project and the core Ballet library, such as utilities to load project-specific information and the `Project` abstraction |
+| [`templates/`](ballet/templates/) | cookiecutter templates for creating a new Ballet project or creating a new feature definition |
+| [`templating.py`](ballet/templating.py) | user-facing functionality on top of the templates |
+| [`transformer.py`](ballet/transformer.py) | wrappers for transformers that make them play nicely together in a pipeline |
+| [`update.py`](ballet/update.py) | functionality to update the project template from a new upstream release |
+| [`util/`](ballet/util/) | various utilities |
+| [`validation/main.py`](ballet/validation/main.py) | entry point for all validation routines |
+| [`validation/base.py`](ballet/validation/base.py) | abstractions used in validation such as the `FeaturePerformanceEvaluator` |
+| [`validation/common.py`](ballet/validation/common.py) | common functionality used in validation, such as the ability to collect relevant changes between a current environment and a reference environment (such as a pull request vs a default branch) |
+| [`validation/entropy.py`](ballet/validation/entropy.py) | statistical estimation routines used in feature definition selection algorithms, such as estimators for entropy, mutual information, and conditional mutual information |
+| [`validation/feature_acceptance/`](ballet/validation/feature_acceptance/) | validation routines for feature acceptance
+| [`validation/feature_pruning/`](ballet/validation/feature_pruning/) | validation routines for feature pruning |
+| [`validation/feature_api/`](ballet/validation/feature_api/) | validation routines for feature APIs |
+| [`validation/project_structure/`](ballet/validation/project_structure/) | validation routines for project structure |
+
+
+# History
+
+## 0.19.5 (2021-07-17)
+
+* Fix bug with deepcopying `ballet.pipeline.FeatureEngineeringPipeline`
+
+## 0.19.4 (2021-07-17)
+
+* Fix bug with deepcopying `ballet.eng.base.SubsetTransformer` ([#90](https://github.com/ballet/ballet/issues/90))
+* Add `ballet.drop_missing_targets` primitive
+
+## 0.19.3 (2021-06-28)
+
+* Support missing targets in discovery and feature performance evaluation ([#89](https://github.com/ballet/ballet/pull/89))
+* Add `ninputs` to summary statistics in `ballet.discovery.discover`
+
+## 0.19.2 (2021-06-21)
+
+* Improve discrete column detection in the case of many repeated values
+* Add `ncontinuous` and `ndiscrete` to summary statistics in `ballet.discovery.discover`
+
+## 0.19.1 (2021-06-20)
+
+* Defer computation of some expensive summary statistics in `ballet.discovery.discover`
+
+## 0.19.0 (2021-06-16)
+
+* Support callable as feature input ([#88](https://github.com/ballet/ballet/pull/88))
+
+## 0.18.0 (2021-06-06)
+
+* Added [Consumer Guide](https://ballet.github.io/ballet/consumer_guide.html)
+* Can use Ballet together with MLBlocks to engineer features and then use additional preprocessing and ML components ([#86](https://github.com/ballet/ballet/pull/86))
+* Can wrap the extracted feature matrix in a data frame with named columns derived from ``feature.output`` or ``feature.name``
+* Implemented `ballet.encoder.EncoderPipeline` to (mostly) mirror `ballet.pipeline.FeatureEngineeringPipeline`
+* Can specify the dataset used for fitting the pipeline in the engineer-features CLI via `--train-dir path/to/train/dir`
+
+## 0.17.0 (2021-05-24)
+
+* Support nested transformers, both with nested features and with input/transformer tuples wrapped with SubsetTransformers ([#82](https://github.com/ballet/ballet/pull/82))
+* Allow `Client.discover` to skip summary statistics if development dataset cannot be loaded or if features produce errors
+
+## 0.16.0 (2021-05-22)
+
+* Add `Client.discover` functionality ([#80](https://github.com/ballet/ballet/pull/80))
+* Switch the order of `NullFiller` parameters to more closely resemble `fillna` signature
+
+## 0.15.2 (2021-05-14)
+
+* Operate columnwise in `VarianceThresholdAccepter`, rather than computing the variance of
+    the entire feature group.
+
+## 0.15.1 (2021-05-12)
+
+* Add debug logging for new accepters
+
+## 0.15.0 (2021-05-12)
+
+* Add `VarianceThresholdAccepter`, `MutualInformationAccepter`, and `CompoundAccepter` ([#76](https://github.com/ballet/ballet/pull/76))
+
+## 0.14.0 (2021-05-11)
+
+* Support using holdout data splits in validation ([#75](https://github.com/ballet/ballet/pull/75))
+* Fix CLI program name in projects ([#74](https://github.com/ballet/ballet/pull/74))
+* Fix bug with `load_config` usage in python REPL ([#73](https://github.com/ballet/ballet/pull/73))
+* Reorganize external feature engineering primitives to `ballet/eng/external/**.py`. Imports like `from ballet.eng.external import MyPrimitive` are unaffected.
+
+## 0.13.1 (2021-04-02)
+
+* Fix upgrade check in `ballet update-project-template` to migrate away from deprecated PyPI XML-RPC API.
+
+## 0.13.0 (2021-03-30)
+
+* Fix links in project template
+
+## 0.12.0 (2021-03-10)
+
+* Automate creation of GitHub repository in quickstart
+
+## 0.11.0 (2021-03-04)
+
+* Allow validation to be run from topic branches locally
+
+## 0.10.0 (2021-02-23)
+
+* Add `Project.version` property
+
+## 0.9.0 (2021-02-16)
+
+* Add support for managed branching via `ballet start-new-feature --branching` (defaults to enabled)
+* Remove confusing `ballet.project.config` attribute
+* Implement `ballet.project.load_config` as a better alternative, and use this in the project template's `load_data`
+
+## 0.8.2 (2021-02-16)
+
+* Fix bug with `str(t)` or `repr(t)` for `DelegatingRobustTransformer`
+
+## 0.8.1 (2021-02-16)
+
+* Fix bug with `str(t)` or `repr(t)` for `SimpleFunctionTransformer`
+
+## 0.8.0 (2021-02-02)
+
+* Fix bug with detecting updates to Ballet due to PyPI API outage
+* Fix some dependency conflicts
+* Reference ballet-assemble in project template
+* Bump feature_engine to 1.0
+
+## 0.7.11 (2020-09-16)
+
+* Reduce verbosity of conversion approach logging by moving some messages to TRACE level
+* Implement "else" transformer for `ConditionalTransformer`
+* Improve GFSSF iteration logging
+
+## 0.7.10 (2020-09-08)
+
+* Fix bug with different treatment of y_df and y; now, y_df is passed to the feature engineering pipeline, and y is passed to the feature validation routines as applicable.
+* Switch back to using Gitter
+
+## 0.7.9 (2020-08-15)
+
+* Add give_advice feature for FeatureAPICheck and other checks to log message on how to fix failure
+* Improve logging of GFSSFAccepter and GFSSFPruner
+* Improve `__str__` for DelegatingRobustTransformer and consequently consumers
+* Change default log format to SIMPLE_LOG_FORMAT
+* Various bug fixes and improvements
+
+## 0.7.8 (2020-08-13)
+
+* Add CanTransformNewRowsCheck to feature API checks
+
+## 0.7.7 (2020-08-12)
+
+* Support `None` as the transformer in a `Feature`, it will be automatically converted to an `IdentityTransformer`
+* Implement `ColumnSelector`
+* Update docs
+* Various bug fixes and improvements
+
+## 0.7.6 (2020-08-12)
+
+* Re-export feature engineering primitives from various libraries
+* Show type annotations in docs
+* Update guides
+* Various bug fixes and improvements
+
+## 0.7.5 (2020-08-03)
+
+* Make validator parameters configurable in ballet.yml file (e.g. λ_1 and λ_2 for GFSSF algorithms)
+* Support dynaconf 3.x
+
+## 0.7.4 (2020-07-22)
+
+* Accept logger names, as well as logger instances, in `ballet.util.log.enable`
+* Updated docs
+
+## 0.7.3 (2020-07-21)
+
+* Add `load_data` method with built-in caching to project API
+* Fix bug in GFSSF accepter
+* Always use encoded target during validation
+* Various bug fixes and improvements
+
+## 0.7.2 (2020-07-21)
+
+* Add sample analysis notebook to project template
+* Add binder url/badge to project template
+* Fix bug with enabling logging with multiple loggers
+
+## 0.7.1 (2020-07-20)
+
+* Add client for easy interactive usage (`ballet.b`)
+* Add binder setup to project template
+
+## 0.7 (2020-07-17)
+
+* Revamp project template: update project structure, create single API via FeatureEngineeringProject, use and add support for pyinvoke, revamp build into engineer_features, support repolockr bot
+* Improve ballet.project.Project: can create by ascending from given path, can create from current working directory, can resolve arbitrary project symbol, exposes project's API
+* Check for and notify of new release of ballet during project update (`ballet update-project-template`)
+* Add ComputedValueTransformer to ballet.eng
+* Move stacklog to separate project and install it
+* Add validators that {never,always} accept submissions
+* Add feature API checks to ensure that the feature can fit and transform a single row
+* Add feature engineering guide to documentation and significantly expand contributor guide
+* Add bot installation instructions to maintainer guide
+* Add type annotations throughout
+* Drop support for py35, add support for py38
+* Deprecate modeling code
+* Various bug fixes and improvements
+
+## 0.6 (2019-11-12)
+
+* Implement GFSSF validators and random validators
+* Improve validators and allow validators to be configured in ballet.yml
+* Improve project template
+* Create ballet CLI
+* Bug fixes and performance improvements
+
+## 0.5 (2018-10-14)
+
+* Add project template and ballet-quickstart command
+* Add project structure checks and feature API checks
+* Implement multi-stage validation routine driver
+
+## 0.4 (2018-09-21)
+
+* Implement `Modeler` for versatile modeling and evaluation
+* Change project name
+
+## 0.3 (2018-04-28)
+
+* Implement `PullRequestFeatureValidator`
+* Add `util.travis`, `util.modutil`, `util.git` util modules
+
+## 0.2 (2018-04-11)
+
+* Implement `ArrayLikeEqualityTestingMixin`
+* Implement `collect_contrib_features`
+
+## 0.1 (2018-04-08)
+
+* First release on PyPI
+
+
+
+
+%prep
+%autosetup -n ballet-0.19.5
+
+%build
+%py3_build
+
+%install
+%py3_install
+install -d -m755 %{buildroot}/%{_pkgdocdir}
+if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
+if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
+if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
+if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
+pushd %{buildroot}
+if [ -d usr/lib ]; then
+	find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/lib64 ]; then
+	find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/bin ]; then
+	find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/sbin ]; then
+	find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+touch doclist.lst
+if [ -d usr/share/man ]; then
+	find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
+fi
+popd
+mv %{buildroot}/filelist.lst .
+mv %{buildroot}/doclist.lst .
+
+%files -n python3-ballet -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Wed May 10 2023 Python_Bot <Python_Bot@openeuler.org> - 0.19.5-1
+- Package Spec generated