Metadata-Version: 1.0
Name: fpga4p
Version: 1.1
Summary: Python package / GNU Linux terminal utility for porting machine learning algorithms to FPGA.
Home-page: UNKNOWN
Author: Dmitriy Mandjiev, Pavel Ivanov
Author-email: fmnpro19@gmail.com
License: UNKNOWN
Description: 
            MANUAL:
        
            Training opportunities:
        
                1) Training tasks executes in parallel processes.
        
                2) Each training task generates: ".sv" file for FPGA, ".wd" file
                 and ".tar" archive with model data for prospective
                     classification task.
        
        
            Training specialities:
        
                1) "training_file.csv" must contain classes in the first column.
        
                2) "training_file.csv" must not contain a column head.
        
                3) The character - separator of "training_file.csv" must be ",".
        
                4) You can check available training algorithms with option "--info".
        
        
            Classification opportunities:
        
                1) Classification tasks might be executed parallel on several FPGAs.
        
                2) Several classification tasks, addressed to FPGA, execute consistently.
        
                3) Each classification task generates ".csv" file with predicted answers.
        
        
            Classification specialities:
        
                1) "classification_file.csv" must not contain a column head.
        
                2) The character - separator of "training_file.csv" must be ",".
        
                3) The "word_dict.wd" might match to firmware of FPGA.
        
                4) You can check available training algorithms and USB serial ports
                    with option "--info".
        
            Examples:
        
                 1) This example starts the training task:
        
                    $ fpga4p --trn "training.csv,train_nbc"
        
                2) This example starts the classification task:
        
                    $ fpga4p --cls "class.csv,classify_nbc,training.wd,/dev/ttyUSB0"
        
                3) This example prints available modules for training and
                    classification, as well as available serial USB ports:
        
        
                    $ fpga4p --info
            
Platform: UNKNOWN
