Tasks

  • TMVA new design 
    • Hyper-parameter tunning in new design
    • PyMVA (Python-TMVA) Additional methods
    • RMVA (R-TMVA) Additional methods
    • Deep Neural Network: improvements and interfaces
    • Code Optimization (Memory/Performance)
    • Paralellization CPU/Spark
    • Parallelization GPU
    • Standalone C++ Output
    • Single Objective Regression Additional Loss Functions
  • Jupyter integration
  • Multi-objective Regression
  • Unsupervised Learning

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