Amazon SageMaker adds several enhancement to the Blazing test, Linear Learner Algorithms and DeepAR

Amazon SageMaker has now added multiple enhancements for Linear Learner Algorithms, Blazing test, and DeepAR. DeepAR is used in Amazon SageMaker for forecasting scalar time series using the recurrent neural networks. The blazing test lets you implement the Word2Vec algorithm to leverage from the GPU hardware. Word2Vec is used mainly for natural language processing such as sentiment analysis, machine translation, named entity recognition and etc. The Linear Learner Algorithm in Amazon SageMaker now adds support for multi-class classification in addition to the linear regression and binary classification. Amazon SageMaker’s pre-configured containers support the Chainer 4.2 version. In this version, you can train the networks with large batch sizes.