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3+ ## v0.3.0 - 2020-12-18
4+
5+ In this release we add a new TVAE model which was presented in the original CTGAN paper.
6+ It also exposes more hyperparameters and moves epochs and log_frequency from fit to the constructor.
7+
8+ A new verbose argument has been added to optionally disable unnecessary printing, and a new hyperparameter
9+ called ` discriminator_steps ` has been added to CTGAN to control the number of optimization steps performed
10+ in the discriminator for each generator epoch.
11+
12+ The code has also been reorganized and cleaned up for better readability and interpretability.
13+
14+ Special thanks to @Baukebrenninkmeijer @fealho @leix28 @csala for the contributions!
15+
16+ ### Improvements
17+
18+ * Add TVAE - [ Issue #111 ] ( https://github.com/sdv-dev/CTGAN/issues/111 ) by @fealho
19+ * Move ` log_frequency ` to ` __init__ ` - [ Issue #102 ] ( https://github.com/sdv-dev/CTGAN/issues/102 ) by @fealho
20+ * Add discriminator steps hyperparameter - [ Issue #101 ] ( https://github.com/sdv-dev/CTGAN/issues/101 ) by @Baukebrenninkmeijer
21+ * Code cleanup / Expose hyperparameters - [ Issue #59 ] ( https://github.com/sdv-dev/CTGAN/issues/59 ) by @fealho and @leix28
22+ * Publish to conda repo - [ Issue #54 ] ( https://github.com/sdv-dev/CTGAN/issues/54 ) by @fealho
23+
24+ ### Bugs fixed
25+
26+ * Fixed NaN != NaN counting bug. - [ Issue #100 ] ( https://github.com/sdv-dev/CTGAN/issues/100 ) by @fealho
27+ * Update dependencies and testing - [ Issue #90 ] ( https://github.com/sdv-dev/CTGAN/issues/90 ) by @csala
28+
329## v0.2.2 - 2020-11-13
430
531In this release we introduce several minor improvements to make CTGAN more versatile and
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