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    Feature Set

    Data Preprocessing

    • Dataset size limited only by available memory
    • Input data types: numerical and categorical
    • Automatic preprocessing before training
    • Automatic numerical columns scaling
    • Automatic categorical columns encoding

    Training

    • Automatic problem type determination (classification or regression)
    • Automatic network training
    • Full control of the training process, including pausing and stopping

    Network Application

    • The ability to save and load a network at any time you need
    • Use a just created or loaded network to apply it to new data and get neural network reply

    General

    • Low resource requirements
    • Example programs included in source form
    • Support of load and save operations
    • The Online Manual includes Chapter "Introduction in Neural Networks"

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