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@@ -0,0 +1 @@ +/copulas-0.8.0.tar.gz diff --git a/python-copulas.spec b/python-copulas.spec new file mode 100644 index 0000000..98d02f9 --- /dev/null +++ b/python-copulas.spec @@ -0,0 +1,617 @@ +%global _empty_manifest_terminate_build 0 +Name: python-copulas +Version: 0.8.0 +Release: 1 +Summary: Create tabular synthetic data using copulas-based modeling. +License: BSL-1.1 +URL: https://github.com/sdv-dev/Copulas +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/0d/0c/f93eb9a65764ab2000cf3fad591ef85200d2b06e88fc5020b4d945147532/copulas-0.8.0.tar.gz +BuildArch: noarch + +Requires: python3-numpy +Requires: python3-pandas +Requires: python3-scipy +Requires: python3-matplotlib +Requires: python3-numpy +Requires: python3-scipy +Requires: python3-pandas +Requires: python3-pandas +Requires: python3-matplotlib +Requires: python3-pytest +Requires: python3-pytest-cov +Requires: python3-pytest-rerunfailures +Requires: python3-rundoc +Requires: python3-pip +Requires: python3-bumpversion +Requires: python3-watchdog +Requires: python3-m2r +Requires: python3-nbsphinx +Requires: python3-Sphinx +Requires: python3-sphinx-rtd-theme +Requires: python3-Jinja2 +Requires: python3-flake8 +Requires: python3-isort +Requires: python3-flake8-debugger +Requires: python3-flake8-mock +Requires: python3-flake8-mutable +Requires: python3-flake8-fixme +Requires: python3-pep8-naming +Requires: python3-dlint +Requires: python3-flake8-docstrings +Requires: python3-pydocstyle +Requires: python3-flake8-pytest-style +Requires: python3-flake8-comprehensions +Requires: python3-flake8-print +Requires: python3-flake8-expression-complexity +Requires: python3-flake8-multiline-containers +Requires: python3-pandas-vet +Requires: python3-flake8-builtins +Requires: python3-flake8-eradicate +Requires: python3-flake8-quotes +Requires: python3-flake8-variables-names +Requires: python3-flake8-sfs +Requires: python3-flake8-absolute-import +Requires: python3-autoflake +Requires: python3-autopep8 +Requires: python3-twine +Requires: python3-wheel +Requires: python3-coverage +Requires: python3-tox +Requires: python3-invoke +Requires: python3-doc8 +Requires: python3-urllib3 +Requires: python3-tabulate +Requires: python3-boto3 +Requires: python3-docutils +Requires: python3-markupsafe +Requires: python3-scikit-learn +Requires: python3-jupyter +Requires: python3-pytest +Requires: python3-pytest-cov +Requires: python3-pytest-rerunfailures +Requires: python3-rundoc +Requires: python3-markupsafe +Requires: python3-scikit-learn +Requires: python3-jupyter +Requires: python3-markupsafe +Requires: python3-scikit-learn +Requires: python3-jupyter + +%description +<div align="center"> +<a href="https://datacebo.com"><img align="center" width=40% src="https://github.com/sdv-dev/SDV/blob/master/docs/images/DataCebo.png"></img></a> +</div> +<br/> +<br/> +[The Synthetic Data Vault Project](https://sdv.dev) was first created at MIT's [Data to AI Lab]( +https://dai.lids.mit.edu/) in 2016. After 4 years of research and traction with enterprise, we +created [DataCebo](https://datacebo.com) in 2020 with the goal of growing the project. +Today, DataCebo is the proud developer of SDV, the largest ecosystem for +synthetic data generation & evaluation. It is home to multiple libraries that support synthetic +data, including: +* 🔄 Data discovery & transformation. Reverse the transforms to reproduce realistic data. +* 🧠Multiple machine learning models -- ranging from Copulas to Deep Learning -- to create tabular, + multi table and time series data. +* 📊 Measuring quality and privacy of synthetic data, and comparing different synthetic data + generation models. +[Get started using the SDV package](https://sdv.dev/SDV/getting_started/install.html) -- a fully +integrated solution and your one-stop shop for synthetic data. Or, use the standalone libraries +for specific needs. +# History +## v0.8.0 - 2023-01-06 +This release adds support for python 3.10 and 3.11. Additionally, it drops support for python 3.6. +### Maintenance +* Support python 3.10 and above - PR[#338](https://github.com/sdv-dev/Copulas/pull/338) by @pvk-developer +* Copulas Package Maintenance Updates - Issue[#336](https://github.com/sdv-dev/Copulas/issues/336) by @pvk-developer +* Add support for python 3.10 - PR[#329](https://github.com/sdv-dev/Copulas/pull/329) by @katxiao +## v0.7.0 - 2022-05-10 +This release adds `gaussian` as a fallback distribution in case the user specified one fails. It also improves the `fit` of the `beta` distribution by properly estimatig the `loc` and `scale` parameters. +### General Improvements +* Add gaussian as fallback - Issue[#320](https://github.com/sdv-dev/Copulas/issues/320) by @fealho +* Improve the fit of the Beta distribution: Use the new loc and scale - Issue[#317](https://github.com/sdv-dev/Copulas/issues/317) by @pvk-developer +## v0.6.1 - 2022-02-25 +This release improves the `random_state` functionality by taking in RandomState objects in addition to +random seeds. +### General Improvements +* Use random_state instead of random_seed - Issue[#113](https://github.com/sdv-dev/Copulas/issues/113) by @katxiao +## v0.6.0 - 2021-05-13 +This release makes Copulas compatible with Python 3.9! It also improves library maintenance by +updating dependencies, reorganizing the CI workflows, adding pip check to the workflows and +removing unused files. +### General Improvements +* Add support for Python 3.9 - Issue[#282](https://github.com/sdv-dev/Copulas/issues/282) by @amontanez24 +* Remove entry point in setup.py - Issue[#280](https://github.com/sdv-dev/Copulas/issues/280) by @amontanez24 +* Update pandas dependency range - Issue[#266](https://github.com/sdv-dev/Copulas/issues/266) by @katxiao +* Fix repository language - Issue[#272](https://github.com/sdv-dev/Copulas/issues/272) by @pvk-developer +* Add pip check to CI workflows - Issue[#274](https://github.com/sdv-dev/Copulas/issues/274) by @pvk-developer +* Reorganize workflows and add codecov - PR[#267](https://github.com/sdv-dev/Copulas/pull/267) by @csala +* Constrain jinja2 versions - PR[#269](https://github.com/sdv-dev/Copulas/pull/269/files) by @fealho +## v0.5.1 - 2021-08-13 +This release improves performance by changing the way scipy stats is used, +calling their methods directly without creating intermediate instances. +It also fixes a bug introduced by the scipy 1.7.0 release where some +distributions fail to fit because scipy validates the learned parameters. +### Issues Closed + * Exception: Optimization converged to parameters that are outside the range allowed by the distribution. - Issue [#264](https://github.com/sdv-dev/Copulas/issues/264) by @csala + * Use scipy stats models directly without creating instances - Issue [#261](https://github.com/sdv-dev/Copulas/issues/261) by @csala +## v0.5.0 - 2021-01-24 +This release introduces conditional sampling for the GaussianMultivariate modeling. +The new conditioning feature allows passing a dictionary with the values to use to condition +the rest of the columns. +It also fixes a bug that prevented constant distributions to be restored from a dictionary +and updates some dependencies. +### New Features +* Conditional sampling from Gaussian copula - Issue [#154](https://github.com/sdv-dev/Copulas/issues/154) by @csala +### Bug Fixes +* ScipyModel subclasses fail to restore constant values when using `from_dict` - Issue [#212](https://github.com/sdv-dev/Copulas/issues/212) by @csala +## v0.4.0 - 2021-01-27 +This release introduces a few changes to optimize processing speed by re-implementing +the Gaussian KDE pdf to use vectorized root finding methods and also adding the option +to subsample the data during univariate selection. +### General Improvements +* Make `gaussian_kde` faster - Issue [#200](https://github.com/sdv-dev/Copulas/issues/200) by @k15z and @fealho +* Use sub-sampling in `select_univariate` - Issue [#183](https://github.com/sdv-dev/Copulas/issues/183) by @csala +## v0.3.3 - 2020-09-18 +### General Improvements +* Use `corr` instead of `cov` in the GaussianMultivariate - Issue [#195](https://github.com/sdv-dev/Copulas/issues/195) by @rollervan +* Add arguments to GaussianKDE - Issue [#181](https://github.com/sdv-dev/Copulas/issues/181) by @rollervan +### New Features +* Log Laplace Distribution - Issue [#188](https://github.com/sdv-dev/Copulas/issues/188) by @rollervan +## v0.3.2 - 2020-08-08 +### General Improvements +* Support Python 3.8 - Issue [#185](https://github.com/sdv-dev/Copulas/issues/185) by @csala +* Support scipy >1.3 - Issue [#180](https://github.com/sdv-dev/Copulas/issues/180) by @csala +### New Features +* Add Uniform Univariate - Issue [#179](https://github.com/sdv-dev/Copulas/issues/179) by @rollervan +## v0.3.1 - 2020-07-09 +### General Improvements +* Raise numpy version upper bound to 2 - Issue [#178](https://github.com/sdv-dev/Copulas/issues/178) by @csala +### New Features +* Add Student T Univariate - Issue [#172](https://github.com/sdv-dev/Copulas/issues/172) by @gbonomib +### Bug Fixes +* Error in Quickstarts : Unknown projection '3d' - Issue [#174](https://github.com/sdv-dev/Copulas/issues/174) by @csala +## v0.3.0 - 2020-03-27 +Important revamp of the internal implementation of the project, the testing +infrastructure and the documentation by Kevin Alex Zhang @k15z, Carles Sala +@csala and Kalyan Veeramachaneni @kveerama +### Enhancements +* Reimplementation of the existing Univariate distributions. +* Addition of new Beta and Gamma Univariates. +* New Univariate API with automatic selection of the optimal distribution. +* Several improvements and fixes on the Bivariate and Multivariate Copulas implementation. +* New visualization module with simple plotting patterns to visualize probability distributions. +* New datasets module with toy datasets sampling functions. +* New testing infrastructure with end-to-end, numerical and large scale testing. +* Improved tutorials and documentation. +## v0.2.5 - 2020-01-17 +### General Improvements +* Convert import_object to get_instance - Issue [#114](https://github.com/sdv-dev/Copulas/issues/114) by @JDTheRipperPC +## v0.2.4 - 2019-12-23 +### New Features +* Allow creating copula classes directly - Issue [#117](https://github.com/sdv-dev/Copulas/issues/117) by @csala +### General Improvements +* Remove `select_copula` from `Bivariate` - Issue [#118](https://github.com/sdv-dev/Copulas/issues/118) by @csala +* Rename TruncNorm to TruncGaussian and make it non standard - Issue [#102](https://github.com/sdv-dev/Copulas/issues/102) by @csala @JDTheRipperPC +### Bugs fixed +* Error on Frank and Gumble sampling - Issue [#112](https://github.com/sdv-dev/Copulas/issues/112) by @csala +## v0.2.3 - 2019-09-17 +### New Features +* Add support to Python 3.7 - Issue [#53](https://github.com/sdv-dev/Copulas/issues/53) by @JDTheRipperPC +### General Improvements +* Document RELEASE workflow - Issue [#105](https://github.com/sdv-dev/Copulas/issues/105) by @JDTheRipperPC +* Improve serialization of univariate distributions - Issue [#99](https://github.com/sdv-dev/Copulas/issues/99) by @ManuelAlvarezC and @JDTheRipperPC +### Bugs fixed +* The method 'select_copula' of Bivariate return wrong CopulaType - Issue [#101](https://github.com/sdv-dev/Copulas/issues/101) by @JDTheRipperPC +## v0.2.2 - 2019-07-31 +### New Features +* `truncnorm` distribution and a generic wrapper for `scipy.rv_continous` distributions - Issue [#27](https://github.com/sdv-dev/Copulas/issues/27) by @amontanez, @csala and @ManuelAlvarezC +* `Independence` bivariate copulas - Issue [#46](https://github.com/sdv-dev/Copulas/issues/46) by @aliciasun, @csala and @ManuelAlvarezC +* Option to select seed on random number generator - Issue [#63](https://github.com/sdv-dev/Copulas/issues/63) by @echo66 and @ManuelAlvarezC +* Option on Vine copulas to select number of rows to sample - Issue [#77](https://github.com/sdv-dev/Copulas/issues/77) by @ManuelAlvarezC +* Make copulas accept both scalars and arrays as arguments - Issues [#85](https://github.com/sdv-dev/Copulas/issues/85) and [#90](https://github.com/sdv-dev/Copulas/issues/90) by @ManuelAlvarezC +### General Improvements +* Ability to properly handle constant data - Issues [#57](https://github.com/sdv-dev/Copulas/issues/57) and [#82](https://github.com/sdv-dev/Copulas/issues/82) by @csala and @ManuelAlvarezC +* Tests for analytics properties of copulas - Issue [#61](https://github.com/sdv-dev/Copulas/issues/61) by @ManuelAlvarezC +* Improved documentation - Issue [#96](https://github.com/sdv-dev/Copulas/issues/96) by @ManuelAlvarezC +### Bugs fixed +* Fix bug on Vine copulas, that made it crash during the bivariate copula selection - Issue [#64](https://github.com/sdv-dev/Copulas/issues/64) by @echo66 and @ManuelAlvarezC +## v0.2.1 - Vine serialization +* Add serialization to Vine copulas. +* Add `distribution` as argument for the Gaussian Copula. +* Improve Bivariate Copulas code structure to remove code duplication. +* Fix bug in Vine Copulas sampling: 'Edge' object has no attribute 'index' +* Improve code documentation. +* Improve code style and linting tools configuration. +## v0.2.0 - Unified API +* New API for stats methods. +* Standarize input and output to `numpy.ndarray`. +* Increase unittest coverage to 90%. +* Add methods to load/save copulas. +* Improve Gaussian copula sampling accuracy. +## v0.1.1 - Minor Improvements +* Different Copula types separated in subclasses +* Extensive Unit Testing +* More pythonic names in the public API. +* Stop using third party elements that will be deprected soon. +* Add methods to sample new data on bivariate copulas. +* New KDE Univariate copula +* Improved examples with additional demo data. +## v0.1.0 - First Release +* First release on PyPI. + +%package -n python3-copulas +Summary: Create tabular synthetic data using copulas-based modeling. +Provides: python-copulas +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-copulas +<div align="center"> +<a href="https://datacebo.com"><img align="center" width=40% src="https://github.com/sdv-dev/SDV/blob/master/docs/images/DataCebo.png"></img></a> +</div> +<br/> +<br/> +[The Synthetic Data Vault Project](https://sdv.dev) was first created at MIT's [Data to AI Lab]( +https://dai.lids.mit.edu/) in 2016. After 4 years of research and traction with enterprise, we +created [DataCebo](https://datacebo.com) in 2020 with the goal of growing the project. +Today, DataCebo is the proud developer of SDV, the largest ecosystem for +synthetic data generation & evaluation. It is home to multiple libraries that support synthetic +data, including: +* 🔄 Data discovery & transformation. Reverse the transforms to reproduce realistic data. +* 🧠Multiple machine learning models -- ranging from Copulas to Deep Learning -- to create tabular, + multi table and time series data. +* 📊 Measuring quality and privacy of synthetic data, and comparing different synthetic data + generation models. +[Get started using the SDV package](https://sdv.dev/SDV/getting_started/install.html) -- a fully +integrated solution and your one-stop shop for synthetic data. Or, use the standalone libraries +for specific needs. +# History +## v0.8.0 - 2023-01-06 +This release adds support for python 3.10 and 3.11. Additionally, it drops support for python 3.6. +### Maintenance +* Support python 3.10 and above - PR[#338](https://github.com/sdv-dev/Copulas/pull/338) by @pvk-developer +* Copulas Package Maintenance Updates - Issue[#336](https://github.com/sdv-dev/Copulas/issues/336) by @pvk-developer +* Add support for python 3.10 - PR[#329](https://github.com/sdv-dev/Copulas/pull/329) by @katxiao +## v0.7.0 - 2022-05-10 +This release adds `gaussian` as a fallback distribution in case the user specified one fails. It also improves the `fit` of the `beta` distribution by properly estimatig the `loc` and `scale` parameters. +### General Improvements +* Add gaussian as fallback - Issue[#320](https://github.com/sdv-dev/Copulas/issues/320) by @fealho +* Improve the fit of the Beta distribution: Use the new loc and scale - Issue[#317](https://github.com/sdv-dev/Copulas/issues/317) by @pvk-developer +## v0.6.1 - 2022-02-25 +This release improves the `random_state` functionality by taking in RandomState objects in addition to +random seeds. +### General Improvements +* Use random_state instead of random_seed - Issue[#113](https://github.com/sdv-dev/Copulas/issues/113) by @katxiao +## v0.6.0 - 2021-05-13 +This release makes Copulas compatible with Python 3.9! It also improves library maintenance by +updating dependencies, reorganizing the CI workflows, adding pip check to the workflows and +removing unused files. +### General Improvements +* Add support for Python 3.9 - Issue[#282](https://github.com/sdv-dev/Copulas/issues/282) by @amontanez24 +* Remove entry point in setup.py - Issue[#280](https://github.com/sdv-dev/Copulas/issues/280) by @amontanez24 +* Update pandas dependency range - Issue[#266](https://github.com/sdv-dev/Copulas/issues/266) by @katxiao +* Fix repository language - Issue[#272](https://github.com/sdv-dev/Copulas/issues/272) by @pvk-developer +* Add pip check to CI workflows - Issue[#274](https://github.com/sdv-dev/Copulas/issues/274) by @pvk-developer +* Reorganize workflows and add codecov - PR[#267](https://github.com/sdv-dev/Copulas/pull/267) by @csala +* Constrain jinja2 versions - PR[#269](https://github.com/sdv-dev/Copulas/pull/269/files) by @fealho +## v0.5.1 - 2021-08-13 +This release improves performance by changing the way scipy stats is used, +calling their methods directly without creating intermediate instances. +It also fixes a bug introduced by the scipy 1.7.0 release where some +distributions fail to fit because scipy validates the learned parameters. +### Issues Closed + * Exception: Optimization converged to parameters that are outside the range allowed by the distribution. - Issue [#264](https://github.com/sdv-dev/Copulas/issues/264) by @csala + * Use scipy stats models directly without creating instances - Issue [#261](https://github.com/sdv-dev/Copulas/issues/261) by @csala +## v0.5.0 - 2021-01-24 +This release introduces conditional sampling for the GaussianMultivariate modeling. +The new conditioning feature allows passing a dictionary with the values to use to condition +the rest of the columns. +It also fixes a bug that prevented constant distributions to be restored from a dictionary +and updates some dependencies. +### New Features +* Conditional sampling from Gaussian copula - Issue [#154](https://github.com/sdv-dev/Copulas/issues/154) by @csala +### Bug Fixes +* ScipyModel subclasses fail to restore constant values when using `from_dict` - Issue [#212](https://github.com/sdv-dev/Copulas/issues/212) by @csala +## v0.4.0 - 2021-01-27 +This release introduces a few changes to optimize processing speed by re-implementing +the Gaussian KDE pdf to use vectorized root finding methods and also adding the option +to subsample the data during univariate selection. +### General Improvements +* Make `gaussian_kde` faster - Issue [#200](https://github.com/sdv-dev/Copulas/issues/200) by @k15z and @fealho +* Use sub-sampling in `select_univariate` - Issue [#183](https://github.com/sdv-dev/Copulas/issues/183) by @csala +## v0.3.3 - 2020-09-18 +### General Improvements +* Use `corr` instead of `cov` in the GaussianMultivariate - Issue [#195](https://github.com/sdv-dev/Copulas/issues/195) by @rollervan +* Add arguments to GaussianKDE - Issue [#181](https://github.com/sdv-dev/Copulas/issues/181) by @rollervan +### New Features +* Log Laplace Distribution - Issue [#188](https://github.com/sdv-dev/Copulas/issues/188) by @rollervan +## v0.3.2 - 2020-08-08 +### General Improvements +* Support Python 3.8 - Issue [#185](https://github.com/sdv-dev/Copulas/issues/185) by @csala +* Support scipy >1.3 - Issue [#180](https://github.com/sdv-dev/Copulas/issues/180) by @csala +### New Features +* Add Uniform Univariate - Issue [#179](https://github.com/sdv-dev/Copulas/issues/179) by @rollervan +## v0.3.1 - 2020-07-09 +### General Improvements +* Raise numpy version upper bound to 2 - Issue [#178](https://github.com/sdv-dev/Copulas/issues/178) by @csala +### New Features +* Add Student T Univariate - Issue [#172](https://github.com/sdv-dev/Copulas/issues/172) by @gbonomib +### Bug Fixes +* Error in Quickstarts : Unknown projection '3d' - Issue [#174](https://github.com/sdv-dev/Copulas/issues/174) by @csala +## v0.3.0 - 2020-03-27 +Important revamp of the internal implementation of the project, the testing +infrastructure and the documentation by Kevin Alex Zhang @k15z, Carles Sala +@csala and Kalyan Veeramachaneni @kveerama +### Enhancements +* Reimplementation of the existing Univariate distributions. +* Addition of new Beta and Gamma Univariates. +* New Univariate API with automatic selection of the optimal distribution. +* Several improvements and fixes on the Bivariate and Multivariate Copulas implementation. +* New visualization module with simple plotting patterns to visualize probability distributions. +* New datasets module with toy datasets sampling functions. +* New testing infrastructure with end-to-end, numerical and large scale testing. +* Improved tutorials and documentation. +## v0.2.5 - 2020-01-17 +### General Improvements +* Convert import_object to get_instance - Issue [#114](https://github.com/sdv-dev/Copulas/issues/114) by @JDTheRipperPC +## v0.2.4 - 2019-12-23 +### New Features +* Allow creating copula classes directly - Issue [#117](https://github.com/sdv-dev/Copulas/issues/117) by @csala +### General Improvements +* Remove `select_copula` from `Bivariate` - Issue [#118](https://github.com/sdv-dev/Copulas/issues/118) by @csala +* Rename TruncNorm to TruncGaussian and make it non standard - Issue [#102](https://github.com/sdv-dev/Copulas/issues/102) by @csala @JDTheRipperPC +### Bugs fixed +* Error on Frank and Gumble sampling - Issue [#112](https://github.com/sdv-dev/Copulas/issues/112) by @csala +## v0.2.3 - 2019-09-17 +### New Features +* Add support to Python 3.7 - Issue [#53](https://github.com/sdv-dev/Copulas/issues/53) by @JDTheRipperPC +### General Improvements +* Document RELEASE workflow - Issue [#105](https://github.com/sdv-dev/Copulas/issues/105) by @JDTheRipperPC +* Improve serialization of univariate distributions - Issue [#99](https://github.com/sdv-dev/Copulas/issues/99) by @ManuelAlvarezC and @JDTheRipperPC +### Bugs fixed +* The method 'select_copula' of Bivariate return wrong CopulaType - Issue [#101](https://github.com/sdv-dev/Copulas/issues/101) by @JDTheRipperPC +## v0.2.2 - 2019-07-31 +### New Features +* `truncnorm` distribution and a generic wrapper for `scipy.rv_continous` distributions - Issue [#27](https://github.com/sdv-dev/Copulas/issues/27) by @amontanez, @csala and @ManuelAlvarezC +* `Independence` bivariate copulas - Issue [#46](https://github.com/sdv-dev/Copulas/issues/46) by @aliciasun, @csala and @ManuelAlvarezC +* Option to select seed on random number generator - Issue [#63](https://github.com/sdv-dev/Copulas/issues/63) by @echo66 and @ManuelAlvarezC +* Option on Vine copulas to select number of rows to sample - Issue [#77](https://github.com/sdv-dev/Copulas/issues/77) by @ManuelAlvarezC +* Make copulas accept both scalars and arrays as arguments - Issues [#85](https://github.com/sdv-dev/Copulas/issues/85) and [#90](https://github.com/sdv-dev/Copulas/issues/90) by @ManuelAlvarezC +### General Improvements +* Ability to properly handle constant data - Issues [#57](https://github.com/sdv-dev/Copulas/issues/57) and [#82](https://github.com/sdv-dev/Copulas/issues/82) by @csala and @ManuelAlvarezC +* Tests for analytics properties of copulas - Issue [#61](https://github.com/sdv-dev/Copulas/issues/61) by @ManuelAlvarezC +* Improved documentation - Issue [#96](https://github.com/sdv-dev/Copulas/issues/96) by @ManuelAlvarezC +### Bugs fixed +* Fix bug on Vine copulas, that made it crash during the bivariate copula selection - Issue [#64](https://github.com/sdv-dev/Copulas/issues/64) by @echo66 and @ManuelAlvarezC +## v0.2.1 - Vine serialization +* Add serialization to Vine copulas. +* Add `distribution` as argument for the Gaussian Copula. +* Improve Bivariate Copulas code structure to remove code duplication. +* Fix bug in Vine Copulas sampling: 'Edge' object has no attribute 'index' +* Improve code documentation. +* Improve code style and linting tools configuration. +## v0.2.0 - Unified API +* New API for stats methods. +* Standarize input and output to `numpy.ndarray`. +* Increase unittest coverage to 90%. +* Add methods to load/save copulas. +* Improve Gaussian copula sampling accuracy. +## v0.1.1 - Minor Improvements +* Different Copula types separated in subclasses +* Extensive Unit Testing +* More pythonic names in the public API. +* Stop using third party elements that will be deprected soon. +* Add methods to sample new data on bivariate copulas. +* New KDE Univariate copula +* Improved examples with additional demo data. +## v0.1.0 - First Release +* First release on PyPI. + +%package help +Summary: Development documents and examples for copulas +Provides: python3-copulas-doc +%description help +<div align="center"> +<a href="https://datacebo.com"><img align="center" width=40% src="https://github.com/sdv-dev/SDV/blob/master/docs/images/DataCebo.png"></img></a> +</div> +<br/> +<br/> +[The Synthetic Data Vault Project](https://sdv.dev) was first created at MIT's [Data to AI Lab]( +https://dai.lids.mit.edu/) in 2016. After 4 years of research and traction with enterprise, we +created [DataCebo](https://datacebo.com) in 2020 with the goal of growing the project. +Today, DataCebo is the proud developer of SDV, the largest ecosystem for +synthetic data generation & evaluation. It is home to multiple libraries that support synthetic +data, including: +* 🔄 Data discovery & transformation. Reverse the transforms to reproduce realistic data. +* 🧠Multiple machine learning models -- ranging from Copulas to Deep Learning -- to create tabular, + multi table and time series data. +* 📊 Measuring quality and privacy of synthetic data, and comparing different synthetic data + generation models. +[Get started using the SDV package](https://sdv.dev/SDV/getting_started/install.html) -- a fully +integrated solution and your one-stop shop for synthetic data. Or, use the standalone libraries +for specific needs. +# History +## v0.8.0 - 2023-01-06 +This release adds support for python 3.10 and 3.11. Additionally, it drops support for python 3.6. +### Maintenance +* Support python 3.10 and above - PR[#338](https://github.com/sdv-dev/Copulas/pull/338) by @pvk-developer +* Copulas Package Maintenance Updates - Issue[#336](https://github.com/sdv-dev/Copulas/issues/336) by @pvk-developer +* Add support for python 3.10 - PR[#329](https://github.com/sdv-dev/Copulas/pull/329) by @katxiao +## v0.7.0 - 2022-05-10 +This release adds `gaussian` as a fallback distribution in case the user specified one fails. It also improves the `fit` of the `beta` distribution by properly estimatig the `loc` and `scale` parameters. +### General Improvements +* Add gaussian as fallback - Issue[#320](https://github.com/sdv-dev/Copulas/issues/320) by @fealho +* Improve the fit of the Beta distribution: Use the new loc and scale - Issue[#317](https://github.com/sdv-dev/Copulas/issues/317) by @pvk-developer +## v0.6.1 - 2022-02-25 +This release improves the `random_state` functionality by taking in RandomState objects in addition to +random seeds. +### General Improvements +* Use random_state instead of random_seed - Issue[#113](https://github.com/sdv-dev/Copulas/issues/113) by @katxiao +## v0.6.0 - 2021-05-13 +This release makes Copulas compatible with Python 3.9! It also improves library maintenance by +updating dependencies, reorganizing the CI workflows, adding pip check to the workflows and +removing unused files. +### General Improvements +* Add support for Python 3.9 - Issue[#282](https://github.com/sdv-dev/Copulas/issues/282) by @amontanez24 +* Remove entry point in setup.py - Issue[#280](https://github.com/sdv-dev/Copulas/issues/280) by @amontanez24 +* Update pandas dependency range - Issue[#266](https://github.com/sdv-dev/Copulas/issues/266) by @katxiao +* Fix repository language - Issue[#272](https://github.com/sdv-dev/Copulas/issues/272) by @pvk-developer +* Add pip check to CI workflows - Issue[#274](https://github.com/sdv-dev/Copulas/issues/274) by @pvk-developer +* Reorganize workflows and add codecov - PR[#267](https://github.com/sdv-dev/Copulas/pull/267) by @csala +* Constrain jinja2 versions - PR[#269](https://github.com/sdv-dev/Copulas/pull/269/files) by @fealho +## v0.5.1 - 2021-08-13 +This release improves performance by changing the way scipy stats is used, +calling their methods directly without creating intermediate instances. +It also fixes a bug introduced by the scipy 1.7.0 release where some +distributions fail to fit because scipy validates the learned parameters. +### Issues Closed + * Exception: Optimization converged to parameters that are outside the range allowed by the distribution. - Issue [#264](https://github.com/sdv-dev/Copulas/issues/264) by @csala + * Use scipy stats models directly without creating instances - Issue [#261](https://github.com/sdv-dev/Copulas/issues/261) by @csala +## v0.5.0 - 2021-01-24 +This release introduces conditional sampling for the GaussianMultivariate modeling. +The new conditioning feature allows passing a dictionary with the values to use to condition +the rest of the columns. +It also fixes a bug that prevented constant distributions to be restored from a dictionary +and updates some dependencies. +### New Features +* Conditional sampling from Gaussian copula - Issue [#154](https://github.com/sdv-dev/Copulas/issues/154) by @csala +### Bug Fixes +* ScipyModel subclasses fail to restore constant values when using `from_dict` - Issue [#212](https://github.com/sdv-dev/Copulas/issues/212) by @csala +## v0.4.0 - 2021-01-27 +This release introduces a few changes to optimize processing speed by re-implementing +the Gaussian KDE pdf to use vectorized root finding methods and also adding the option +to subsample the data during univariate selection. +### General Improvements +* Make `gaussian_kde` faster - Issue [#200](https://github.com/sdv-dev/Copulas/issues/200) by @k15z and @fealho +* Use sub-sampling in `select_univariate` - Issue [#183](https://github.com/sdv-dev/Copulas/issues/183) by @csala +## v0.3.3 - 2020-09-18 +### General Improvements +* Use `corr` instead of `cov` in the GaussianMultivariate - Issue [#195](https://github.com/sdv-dev/Copulas/issues/195) by @rollervan +* Add arguments to GaussianKDE - Issue [#181](https://github.com/sdv-dev/Copulas/issues/181) by @rollervan +### New Features +* Log Laplace Distribution - Issue [#188](https://github.com/sdv-dev/Copulas/issues/188) by @rollervan +## v0.3.2 - 2020-08-08 +### General Improvements +* Support Python 3.8 - Issue [#185](https://github.com/sdv-dev/Copulas/issues/185) by @csala +* Support scipy >1.3 - Issue [#180](https://github.com/sdv-dev/Copulas/issues/180) by @csala +### New Features +* Add Uniform Univariate - Issue [#179](https://github.com/sdv-dev/Copulas/issues/179) by @rollervan +## v0.3.1 - 2020-07-09 +### General Improvements +* Raise numpy version upper bound to 2 - Issue [#178](https://github.com/sdv-dev/Copulas/issues/178) by @csala +### New Features +* Add Student T Univariate - Issue [#172](https://github.com/sdv-dev/Copulas/issues/172) by @gbonomib +### Bug Fixes +* Error in Quickstarts : Unknown projection '3d' - Issue [#174](https://github.com/sdv-dev/Copulas/issues/174) by @csala +## v0.3.0 - 2020-03-27 +Important revamp of the internal implementation of the project, the testing +infrastructure and the documentation by Kevin Alex Zhang @k15z, Carles Sala +@csala and Kalyan Veeramachaneni @kveerama +### Enhancements +* Reimplementation of the existing Univariate distributions. +* Addition of new Beta and Gamma Univariates. +* New Univariate API with automatic selection of the optimal distribution. +* Several improvements and fixes on the Bivariate and Multivariate Copulas implementation. +* New visualization module with simple plotting patterns to visualize probability distributions. +* New datasets module with toy datasets sampling functions. +* New testing infrastructure with end-to-end, numerical and large scale testing. +* Improved tutorials and documentation. +## v0.2.5 - 2020-01-17 +### General Improvements +* Convert import_object to get_instance - Issue [#114](https://github.com/sdv-dev/Copulas/issues/114) by @JDTheRipperPC +## v0.2.4 - 2019-12-23 +### New Features +* Allow creating copula classes directly - Issue [#117](https://github.com/sdv-dev/Copulas/issues/117) by @csala +### General Improvements +* Remove `select_copula` from `Bivariate` - Issue [#118](https://github.com/sdv-dev/Copulas/issues/118) by @csala +* Rename TruncNorm to TruncGaussian and make it non standard - Issue [#102](https://github.com/sdv-dev/Copulas/issues/102) by @csala @JDTheRipperPC +### Bugs fixed +* Error on Frank and Gumble sampling - Issue [#112](https://github.com/sdv-dev/Copulas/issues/112) by @csala +## v0.2.3 - 2019-09-17 +### New Features +* Add support to Python 3.7 - Issue [#53](https://github.com/sdv-dev/Copulas/issues/53) by @JDTheRipperPC +### General Improvements +* Document RELEASE workflow - Issue [#105](https://github.com/sdv-dev/Copulas/issues/105) by @JDTheRipperPC +* Improve serialization of univariate distributions - Issue [#99](https://github.com/sdv-dev/Copulas/issues/99) by @ManuelAlvarezC and @JDTheRipperPC +### Bugs fixed +* The method 'select_copula' of Bivariate return wrong CopulaType - Issue [#101](https://github.com/sdv-dev/Copulas/issues/101) by @JDTheRipperPC +## v0.2.2 - 2019-07-31 +### New Features +* `truncnorm` distribution and a generic wrapper for `scipy.rv_continous` distributions - Issue [#27](https://github.com/sdv-dev/Copulas/issues/27) by @amontanez, @csala and @ManuelAlvarezC +* `Independence` bivariate copulas - Issue [#46](https://github.com/sdv-dev/Copulas/issues/46) by @aliciasun, @csala and @ManuelAlvarezC +* Option to select seed on random number generator - Issue [#63](https://github.com/sdv-dev/Copulas/issues/63) by @echo66 and @ManuelAlvarezC +* Option on Vine copulas to select number of rows to sample - Issue [#77](https://github.com/sdv-dev/Copulas/issues/77) by @ManuelAlvarezC +* Make copulas accept both scalars and arrays as arguments - Issues [#85](https://github.com/sdv-dev/Copulas/issues/85) and [#90](https://github.com/sdv-dev/Copulas/issues/90) by @ManuelAlvarezC +### General Improvements +* Ability to properly handle constant data - Issues [#57](https://github.com/sdv-dev/Copulas/issues/57) and [#82](https://github.com/sdv-dev/Copulas/issues/82) by @csala and @ManuelAlvarezC +* Tests for analytics properties of copulas - Issue [#61](https://github.com/sdv-dev/Copulas/issues/61) by @ManuelAlvarezC +* Improved documentation - Issue [#96](https://github.com/sdv-dev/Copulas/issues/96) by @ManuelAlvarezC +### Bugs fixed +* Fix bug on Vine copulas, that made it crash during the bivariate copula selection - Issue [#64](https://github.com/sdv-dev/Copulas/issues/64) by @echo66 and @ManuelAlvarezC +## v0.2.1 - Vine serialization +* Add serialization to Vine copulas. +* Add `distribution` as argument for the Gaussian Copula. +* Improve Bivariate Copulas code structure to remove code duplication. +* Fix bug in Vine Copulas sampling: 'Edge' object has no attribute 'index' +* Improve code documentation. +* Improve code style and linting tools configuration. +## v0.2.0 - Unified API +* New API for stats methods. +* Standarize input and output to `numpy.ndarray`. +* Increase unittest coverage to 90%. +* Add methods to load/save copulas. +* Improve Gaussian copula sampling accuracy. +## v0.1.1 - Minor Improvements +* Different Copula types separated in subclasses +* Extensive Unit Testing +* More pythonic names in the public API. +* Stop using third party elements that will be deprected soon. +* Add methods to sample new data on bivariate copulas. +* New KDE Univariate copula +* Improved examples with additional demo data. +## v0.1.0 - First Release +* First release on PyPI. + +%prep +%autosetup -n copulas-0.8.0 + +%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-copulas -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Tue Apr 11 2023 Python_Bot <Python_Bot@openeuler.org> - 0.8.0-1 +- Package Spec generated @@ -0,0 +1 @@ +7192eedcd7429e7484c4ff4a7e829a7a copulas-0.8.0.tar.gz |