# Release History #

## 2.1.4 (2020-06-30) ##

* Better handling of indefinite losses during training.

## 2.1.3 (2020-06-29) ##

* Fix loading cell and gene names for H5 data sets.

* Report expected model directory path when scVAE cannot find a model during evaluation for easier troubleshooting.

## 2.1.2 (2020-04-07) ##

* Export of decomposition of data sets and latent values as compressed TSV files.

* Export of predictions as compressed TSV files.

* Fix potential crash during *t*-SNE decomposition.

## 2.1.1 (2020-02-24) ##

* Requires TensorFlow 1.15.2 because of a security vulnerability.

* Export of latent values as compressed TSV files.

* Make folder names and filenames more safe on Windows.

* Regrouped analyses, so fewer analyses are performed by default. All available analyses can be performed using ``--included-analyses all``.

* Fix loading of KL divergences when evaluating VAE models.

* Fix crash during model analyses, if the model did not exist.

## 2.1.0 (2019-11-12) ##

* Requires Python 3.6 or 3.7 as well as TensorFlow 1.15.

* Documentation with user guide and tutorial.

* Support for sparse matrices in HDF5 format.

* Improved support for Loom files by following conventions.

* Scatter plots of classes against the primary latent feature as well as the two primary latent features against each other when evaluating a model.

* Fix crash related to `argparse` when using Python 3.6.

## 2.0.0 (2019-05-18) ##

* Complete refactor and clean-up including structuring as Python package.

* Easier loading of custom data sets.

* Batch correction included in models for data sets with batch indices.

* Learnable mixture coefficients for the GMVAE model.

* Full covariance matrix for the GMVAE model.

* Sampling from models.

## 1.0 (2018-04-25) ##

Initial release.