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from neuralnilm.monitor.monitor import Monitor

mon = Monitor("e575_ae_kettle")


    

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mon._plot_train_scores()


    

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mon._plot_validation_scores()


    

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#metadata = mon.db.trained_nets.find_one({'_id': mon.experiment_id})


    

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#metadata


    

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#sources = metadata['data']['pipeline']['sources']
#sources


    

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