DynaML

DynaML is a Scala & JVM Machine Learning toolbox for research, education & industry. It can be used as:

• A scala shell, local or remotely hosted.
• A standalone script engine.
• As a binary dependency for JVM based machine learning applications.

DynaML aims to provide an ent-to-end solution for research and development in machine learning, statistical inference and data science. Towards these goals, it provides the user with modules for.

• Data pre-processing using functional transformations or pipes which can be joined to form complex processing pipelines.
• Training predictive models, with a special focus on stochastic processes`, kernel methods & neural networks. The model API can be extended to implement customized and complicated algorithms.
• Model tuning & hyper-parameter optimization.
• Model evaluation
• Visualization: two and three dimensional charts.