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make release-tag: Merge branch 'master' into stable
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‎.github/workflows/tests.yml‎

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name: Run Tests
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on:
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push:
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branches: [ '*' ]
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pull_request:
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branches: [ master ]
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jobs:
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lint:
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runs-on: ${{ matrix.os }}
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strategy:
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matrix:
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python-version: [3.6, 3.7, 3.8]
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os: [ubuntu-latest, macos-latest, windows-latest]
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steps:
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- uses: actions/checkout@v1
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- name: Set up Python ${{ matrix.python-version }}
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uses: actions/setup-python@v1
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with:
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python-version: ${{ matrix.python-version }}
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- if: matrix.os == 'windows-latest'
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name: Install dependencies - Windows
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run: pip install torch==1.7.0+cpu torchvision==0.8.1+cpu -f https://download.pytorch.org/whl/torch_stable.html
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- name: Install package
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run: pip install invoke .[dev]
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- name: invoke lint
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run: invoke lint
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readme:
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runs-on: ${{ matrix.os }}
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strategy:
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matrix:
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python-version: [3.6, 3.7, 3.8]
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os: [ubuntu-latest, macos-latest]
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steps:
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- uses: actions/checkout@v1
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- name: Set up Python ${{ matrix.python-version }}
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uses: actions/setup-python@v1
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with:
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python-version: ${{ matrix.python-version }}
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- name: Install package and dependencies
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run: pip install invoke rundoc .
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- name: invoke readme
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run: invoke readme
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unit:
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runs-on: ${{ matrix.os }}
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strategy:
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matrix:
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python-version: [3.6, 3.7, 3.8]
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os: [ubuntu-latest, macos-latest, windows-latest]
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steps:
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- uses: actions/checkout@v1
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- name: Set up Python ${{ matrix.python-version }}
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uses: actions/setup-python@v1
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with:
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python-version: ${{ matrix.python-version }}
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- if: matrix.os == 'windows-latest'
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name: Install dependencies - Windows
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run: pip install torch==1.7.0+cpu torchvision==0.8.1+cpu -f https://download.pytorch.org/whl/torch_stable.html
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- name: Install package and dependencies
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run: pip install invoke .[test]
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- name: invoke pytest
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run: invoke pytest

‎.travis.yml‎

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# Config file for automatic testing at travis-ci.org
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dist: trusty
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dist: bionic
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language: python
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python:
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- 3.8
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- 3.7
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- 3.6
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- 3.5
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matrix:
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include:
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- python: 3.7
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dist: xenial
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sudo: required
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# Command to install dependencies
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install: pip install -U tox-travis codecov
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# Command to run tests
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script: tox
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deploy:
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- provider: pages
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skip-cleanup: true
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github-token: "$GITHUB_TOKEN"
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keep-history: true
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local-dir: docs/_build/html
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target-branch: gh-pages
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on:
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branch: master
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python: 3.6

‎HISTORY.md‎

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# History
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## v0.3.0 - 2020-12-18
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In this release we add a new TVAE model which was presented in the original CTGAN paper.
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It also exposes more hyperparameters and moves epochs and log_frequency from fit to the constructor.
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A new verbose argument has been added to optionally disable unnecessary printing, and a new hyperparameter
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called `discriminator_steps` has been added to CTGAN to control the number of optimization steps performed
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in the discriminator for each generator epoch.
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The code has also been reorganized and cleaned up for better readability and interpretability.
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Special thanks to @Baukebrenninkmeijer @fealho @leix28 @csala for the contributions!
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### Improvements
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* Add TVAE - [Issue #111](https://github.com/sdv-dev/CTGAN/issues/111) by @fealho
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* Move `log_frequency` to `__init__` - [Issue #102](https://github.com/sdv-dev/CTGAN/issues/102) by @fealho
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* Add discriminator steps hyperparameter - [Issue #101](https://github.com/sdv-dev/CTGAN/issues/101) by @Baukebrenninkmeijer
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* Code cleanup / Expose hyperparameters - [Issue #59](https://github.com/sdv-dev/CTGAN/issues/59) by @fealho and @leix28
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* Publish to conda repo - [Issue #54](https://github.com/sdv-dev/CTGAN/issues/54) by @fealho
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### Bugs fixed
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* Fixed NaN != NaN counting bug. - [Issue #100](https://github.com/sdv-dev/CTGAN/issues/100) by @fealho
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* Update dependencies and testing - [Issue #90](https://github.com/sdv-dev/CTGAN/issues/90) by @csala
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## v0.2.2 - 2020-11-13
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In this release we introduce several minor improvements to make CTGAN more versatile and
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propertly support new types of data, such as categorical NaN values, as well as conditional
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sampling and features to save and load models.
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Additionally, the dependency ranges and python versions have been updated to support up
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to date runtimes.
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Many thanks @fealho @leix28 @csala @oregonpillow and @lurosenb for working on making this release possible!
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### Improvements
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* Drop Python 3.5 support - [Issue #79](https://github.com/sdv-dev/CTGAN/issues/79) by @fealho
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* Support NaN values in categorical variables - [Issue #78](https://github.com/sdv-dev/CTGAN/issues/78) by @fealho
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* Sample synthetic data conditioning on a discrete column - [Issue #69](https://github.com/sdv-dev/CTGAN/issues/69) by @leix28
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* Support recent versions of pandas - [Issue #57](https://github.com/sdv-dev/CTGAN/issues/57) by @csala
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* Easy solution for restoring original dtypes - [Issue #26](https://github.com/sdv-dev/CTGAN/issues/26) by @oregonpillow
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### Bugs fixed
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* Loss to nan - [Issue #73](https://github.com/sdv-dev/CTGAN/issues/73) by @fealho
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* Swapped the sklearn utils testing import statement - [Issue #53](https://github.com/sdv-dev/CTGAN/issues/53) by @lurosenb
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## v0.2.1 - 2020-01-27
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Minor version including changes to ensure the logs are properly printed and

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