graforvfl package
- graforvfl.network package
- graforvfl.network.base_rvfl module
BaseRVFLBaseRVFL.weightsBaseRVFL.act_funcBaseRVFL.size_inputBaseRVFL.size_outputBaseRVFL.loss_trainBaseRVFL.CLS_OBJ_LOSSESBaseRVFL.SUPPORTED_ACTIVATIONBaseRVFL.SUPPORTED_CLS_METRICSBaseRVFL.SUPPORTED_REG_METRICSBaseRVFL.SUPPORTED_WEIGHT_INITIALIZERBaseRVFL.evaluate()BaseRVFL.fit()BaseRVFL.get_weights()BaseRVFL.get_weights_size()BaseRVFL.load_model()BaseRVFL.partial_fit()BaseRVFL.predict()BaseRVFL.save_loss_train()BaseRVFL.save_metrics()BaseRVFL.save_model()BaseRVFL.save_y_predicted()BaseRVFL.score()BaseRVFL.scores()BaseRVFL.set_weights()
- graforvfl.network.gfo_rvfl_comparator module
GfoRvflComparatorGfoRvflComparator.problem_typeGfoRvflComparator.boundsGfoRvflComparator.optim_listGfoRvflComparator.optim_params_listGfoRvflComparator.scoringGfoRvflComparator.cvGfoRvflComparator.seedGfoRvflComparator.verboseGfoRvflComparator.modeGfoRvflComparator.n_workersGfoRvflComparator.terminationGfoRvflComparator.kwargsGfoRvflComparator.plot_average_runtime()GfoRvflComparator.plot_loss_train_average()GfoRvflComparator.plot_loss_train_per_trial()GfoRvflComparator.plot_metric_boxplot()GfoRvflComparator.run()
- graforvfl.network.gfo_rvfl_cv module
- graforvfl.network.gfo_rvfl_tuner module
- graforvfl.network.standard_rvfl module
- graforvfl.network.base_rvfl module
- graforvfl.shared package
- graforvfl.shared.activator module
- graforvfl.shared.boundary_controller module
- graforvfl.shared.data_processor module
- graforvfl.shared.randomer module
- graforvfl.shared.scaler module
- graforvfl.shared.scorer module