Dear Spark users and developers, I have released version 1.0.0 of scalable-deeplearning package. This package is based on the implementation of artificial neural networks in Spark ML. It is intended for new Spark deep learning features that were not yet merged to Spark ML or that are too specific to be merged. The package provides ML pipeline API, distributed training, optimized numerical processing with tensor library, and extensible API for developers. Current features are the multilayer perceptron classifier and stacked autoencoder.
As a Spark package: https://spark-packages.org/package/avulanov/scalable-deeplearning The source code: https://github.com/avulanov/scalable-deeplearning Contributions are very welcome! Please, let me know if you have any comment or questions. Best regards, Alexander
