SciXMiner:用于多维数据挖掘的开源 MATLAB 工具箱-开源
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2021-06-01
09:52:24
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forecasting.zip （85个子文件） 
forecasting 
plot_intervalForecast.m 4KB callback_forecasting_strTrafo.m 6KB gui_create_hierarchical_quantReg_forecasts.m 13KB sc_kNN_varReg_create.m 11KB control_elements_forecasting.m 46KB fun_apply_poly_kNNquantReg.m 4KB sc_set_switchCase_param.m 7KB fun_get_NN_output_wReplacement.m 5KB fun_calculate_sumDist_w_bivariateCopula.m 5KB callback_validate_forecastingModel.m 6KB fun_apply_kNNquantReg.m 2KB callback_save_forecastingModel.m 2KB sc_poly_quantReg_pinballLoss_create.m 2KB callback_regression_statistics_quantiles.m 2KB sc_kNN_quantReg_apply.m 2KB fun_calculate_polyQuantReg.m 12KB callback_fit2pdf.m 11KB sc_create_quantReg_scenarios.m 6KB sc_set_forecast_generalParameters.m 2KB callback_apply_forecastingModel.m 4KB sc_eliminateNight.m 8KB callback_plot_intervalForecast.m 2KB callback_create_forecastingModel.m 4KB fun_generate_featurespace_trainingset.m 2KB fun_inverse_pit.m 5KB callback_create_hierarchical_quantReg_forecasts.m 9KB sc_get_distanceWeights.m 2KB aktparawin_forecasting.m 1KB fun_calculate_polyQuantReg_w_pinballLoss.m 6KB fun_calculate_ffannQuantReg.m 2KB fun_get_NN_output.m 4KB sc_auto_select_ts_specific_ft.m 5KB fun_calculate_bivariateDist_w_copula.m 4KB sc_set_correlationModel.m 3KB sc_change_necessaryIdxs_wNames.m 6KB fun_apply_svr_kNNquantReg.m 2KB sc_energyConstraints_preCreation.m 2KB fun_eval_quant_reg.m 9KB sc_point_forecast_apply.m 4KB fun_tailsVal4mean_w_ecdf.m 3KB callback_print_fmodel.m 6KB plugins mgenerierung plugin_ts_negativ_to_zeroNaN.m 3KB forecasting.categories 84B plugin_nan_behandlung.m 2KB ts_automatic_similar_merging.m 6KB ts_linear_interpolation.m 3KB plugin_ts_shift_min2zero.m 2KB plugin_ts_integral_over_period.m 5KB einzuggenerierung data_points.einzug 83B sc_manually_select_ts_specific_ft.m 7KB fun_plot_scenarioForecast.m 3KB sc_energyConstraints_postApplication.m 3KB callback_forecasting_timeseries_selection.m 2KB
scixminer_forecasting_help.pdf 1.01MB callback_view_scenarioForecasts.m 2KB sc_kNN_quantReg_create.m 6KB menu_elements_forecasting.m 11KB callback_load_forecastingModel.m 2KB sc_point_forecast_create.m 3KB callback_apply_hierarchical_quantReg_forecasts.m 20KB fun_apply_ann_kNNquantReg.m 3KB optionen_felder_forecasting.m 31KB fun_calculate_svrQuantReg.m 2KB fun_pit.m 5KB callback_create_quantReg_scenario.m 6KB fun_testSample2pdf.m 28KB regression_statistics_quantiles.m 2KB fun_postApplication_constraints.m 3KB fun_tailsVal4var_w_ecdf.m 3KB gui_create_hierarchical_quantReg_forecasts.fig 19KB projects test_forecasting_toolbox.batch 2KB create_resultsFolder.m 55B test_polynomial_pointForecasts.makrog 9KB hierarchicalForecastExample.prjz 774KB Settlement_experiments_M45_S45.prjz 1.19MB test_intervalForecasts.makrog 7KB test_parametricDistributionForecasts.makrog 18KB test_hierarchicalProbForecasts.makrog 8KB test_plugins.makrog 11KB test_ann_quantileRegressionsNNQF.makrog 11KB test_scenarioForecasts.makrog 15KB test_polynomial_quantileRegressionsNNQF.makrog 11KB test_polynomial_quantileRegressionsTrue.makrog 11KB test_ann_pointForecasts.makrog 8KB fun_calculate_sumDist_w_convolution.m 5KB
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