From 2c1410e647098dd00b588df991234d9bb7e37a19 Mon Sep 17 00:00:00 2001 From: Angelos Chatzimparmpas Date: Tue, 26 Jan 2021 16:33:14 +0100 Subject: [PATCH] new --- __pycache__/run.cpython-38.pyc | Bin 38630 -> 38997 bytes extra_data_sets/contraceptive.csv | 1474 +++++++++++++++ extra_data_sets/vehicle.csv | 847 +++++++++ extra_data_sets/winequality.csv | 1600 +++++++++++++++++ frontend/src/components/DataSetSlider.vue | 5 +- frontend/src/components/DataSpace.vue | 40 +- .../src/components/FeatureSpaceDetail.vue | 58 +- .../src/components/FeatureSpaceOverview.vue | 163 +- frontend/src/components/Main.vue | 2 +- insertMongo.py | 4 +- run.py | 21 +- 11 files changed, 4076 insertions(+), 138 deletions(-) create mode 100644 extra_data_sets/contraceptive.csv create mode 100644 extra_data_sets/vehicle.csv create mode 100644 extra_data_sets/winequality.csv diff --git a/__pycache__/run.cpython-38.pyc b/__pycache__/run.cpython-38.pyc index 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+33,4,4,2,1,0,2,4,0,3 +33,4,4,3,1,1,1,4,0,3 +39,3,3,8,1,0,1,4,0,3 +33,3,3,4,1,0,2,2,0,3 +17,3,3,1,1,1,2,4,0,3 \ No newline at end of file diff --git a/extra_data_sets/vehicle.csv b/extra_data_sets/vehicle.csv new file mode 100644 index 0000000..5c19654 --- /dev/null +++ b/extra_data_sets/vehicle.csv @@ -0,0 +1,847 @@ +COMPACTNESS,CIRCULARITY,DISTANCE_CIRCULARITY,RADIUS_RATIO,PR_AXIS_ASPECT_RATIO,MAX_LENGTH_ASPECT_RATIO,SCATTER_RATIO,ELONGATEDNESS,PR_AXIS_RECTANGULARITY,MAX_LENGTH_RECTANGULARITY,SCALED_VARIANCE_MAJOR,SCALED_VARIANCE_MINOR,SCALED_RADIUS_OF_GYRATION,SKEWNESS_ABOUT_MAJOR,SKEWNESS_ABOUT_MINOR,KURTOSIS_ABOUT_MAJOR,KURTOSIS_ABOUT_MINOR,HOLLOWS_RATIO,Class* +95,48,83,178,72,10,162,42,20,159,176,379,184,70,6,16,187,197,van +91,41,84,141,57,9,149,45,19,143,170,330,158,72,9,14,189,199,van +104,50,106,209,66,10,207,32,23,158,223,635,220,73,14,9,188,196,saab +93,41,82,159,63,9,144,46,19,143,160,309,127,63,6,10,199,207,van +85,44,70,205,103,52,149,45,19,144,241,325,188,127,9,11,180,183,bus +107,57,106,172,50,6,255,26,28,169,280,957,264,85,5,9,181,183,bus +97,43,73,173,65,6,153,42,19,143,176,361,172,66,13,1,200,204,bus +90,43,66,157,65,9,137,48,18,146,162,281,164,67,3,3,193,202,van +86,34,62,140,61,7,122,54,17,127,141,223,112,64,2,14,200,208,van +93,44,98,197,62,11,183,36,22,146,202,505,152,64,4,14,195,204,saab +86,36,70,143,61,9,133,50,18,130,153,266,127,66,2,10,194,202,van +90,34,66,136,55,6,123,54,17,118,148,224,118,65,5,26,196,202,saab +88,46,74,171,68,6,152,43,19,148,180,349,192,71,5,11,189,195,bus +89,42,85,144,58,10,152,44,19,144,173,345,161,72,8,13,187,197,van +94,49,79,203,71,5,174,37,21,154,196,465,206,71,6,2,197,199,bus +96,55,103,201,65,9,204,32,23,166,227,624,246,74,6,2,186,194,opel +89,36,51,109,52,6,118,57,17,129,137,206,125,80,2,14,181,185,van +99,41,77,197,69,6,177,36,21,139,202,485,151,72,4,10,198,199,bus +104,54,100,186,61,10,216,31,24,173,225,686,220,74,5,11,185,195,saab +101,56,100,215,69,10,208,32,24,169,227,651,223,74,6,5,186,193,opel +84,47,75,153,64,6,154,43,19,145,175,354,184,75,0,3,185,192,bus +84,37,53,121,59,5,123,55,17,125,141,221,133,82,7,1,179,183,van +94,43,64,173,69,7,150,43,19,142,169,344,177,68,9,1,199,206,bus +87,39,70,148,61,7,143,46,18,136,164,307,141,69,1,2,192,199,bus +99,53,105,219,66,11,204,32,23,165,221,623,224,68,0,6,191,201,saab +85,45,80,154,64,9,147,45,19,148,169,324,174,71,1,4,188,199,van +83,36,54,119,57,6,128,53,18,125,143,238,139,82,6,3,179,183,saab +107,54,98,203,65,11,218,31,25,167,229,696,216,72,1,28,187,199,saab +102,45,85,193,64,6,192,33,22,146,217,570,163,76,6,7,195,193,bus +80,38,63,129,55,7,146,46,19,130,168,314,158,83,9,20,180,185,saab +89,43,85,160,64,11,155,43,19,151,173,356,174,72,5,9,185,196,van +88,42,77,151,58,8,140,47,18,142,165,293,158,64,10,11,198,205,saab +93,35,66,154,59,6,142,46,18,128,162,304,120,64,5,13,197,202,opel +101,48,107,222,68,10,208,32,24,154,232,641,204,70,5,38,190,202,opel +87,38,85,177,61,8,164,40,20,129,186,402,130,63,1,25,198,205,opel +100,46,90,172,67,9,157,43,20,150,170,363,184,67,17,7,192,200,van +82,44,72,118,52,7,152,44,19,147,174,340,177,82,2,2,180,185,bus +90,48,86,306,126,49,153,44,19,156,272,346,200,118,0,15,185,194,van +106,53,98,176,54,10,216,31,24,171,235,691,218,74,1,9,187,197,saab +81,45,68,169,73,6,151,44,19,146,173,336,186,75,7,0,183,189,bus +95,48,104,214,67,9,205,32,23,151,227,628,202,74,5,9,186,193,opel +88,37,51,105,52,5,119,57,17,128,135,207,125,86,8,16,179,183,van +94,49,87,137,54,11,158,43,20,162,178,366,186,75,5,5,183,194,van +93,37,76,183,63,8,164,40,20,134,191,405,139,67,4,7,192,197,saab +119,54,106,220,65,12,213,31,24,167,223,675,232,66,20,1,192,202,saab +93,46,82,145,58,11,159,43,20,160,180,371,189,77,2,4,183,194,van +91,43,70,133,55,8,130,51,18,146,159,253,156,70,1,8,190,194,van +85,42,66,122,54,6,148,46,19,141,172,317,174,88,6,14,180,182,bus +89,47,81,147,64,11,156,44,20,163,170,352,188,76,6,13,184,193,van +91,45,79,176,59,9,163,40,20,148,184,404,179,62,0,10,199,208,saab +78,38,63,115,51,6,142,47,19,130,162,299,146,77,2,4,181,185,saab +92,38,71,174,66,7,154,43,19,133,181,355,130,70,4,24,189,195,saab +98,55,101,228,70,9,210,31,24,168,236,661,245,72,1,6,188,197,opel +101,42,62,175,67,6,149,43,19,139,169,341,165,65,7,11,202,209,bus +101,56,104,185,53,6,257,26,28,168,275,956,230,83,5,26,180,184,bus +94,36,66,151,61,8,133,50,18,135,154,265,119,62,9,3,201,208,van +97,44,96,195,63,9,185,36,22,144,202,512,165,66,4,8,191,199,saab +89,47,84,133,55,11,157,44,20,160,169,354,176,74,5,9,182,192,van +107,53,103,221,66,11,209,32,24,163,222,653,212,66,0,1,191,201,opel +85,39,68,119,52,5,128,53,18,135,148,241,142,75,8,8,182,187,van +103,50,98,212,63,9,193,34,22,161,214,567,185,64,5,5,198,204,opel +77,38,63,135,59,5,130,52,18,130,145,247,139,79,13,21,183,187,opel +96,40,70,120,50,8,137,50,18,141,162,269,139,80,10,13,183,183,van +83,42,66,156,67,7,150,45,19,144,174,333,159,78,4,2,182,188,bus +93,45,86,201,69,7,184,35,22,145,203,523,183,72,0,4,194,197,bus +89,41,75,143,56,7,146,46,19,137,170,317,156,76,18,5,184,188,opel +81,43,68,125,57,8,149,46,19,146,169,323,172,83,6,18,179,184,bus +98,55,101,219,69,11,225,30,25,178,231,748,216,74,6,14,187,195,opel +86,44,78,164,68,9,142,46,18,147,168,305,171,70,1,11,190,201,van +98,49,84,219,74,7,190,34,22,154,208,558,209,74,4,7,195,195,bus +96,55,98,161,54,10,215,31,24,175,226,683,221,76,3,6,185,193,opel +97,59,108,227,70,11,224,30,25,186,225,732,218,70,10,25,186,198,opel +92,39,91,191,62,8,176,37,21,137,196,466,151,67,3,23,192,200,opel +73,37,53,111,54,6,126,55,18,128,135,227,147,82,1,15,176,184,opel +89,42,89,147,61,11,151,44,19,145,170,338,163,72,11,23,187,199,van +101,53,103,203,63,9,195,34,22,162,210,571,210,68,5,5,191,198,opel +91,39,83,170,60,8,172,38,21,134,197,445,152,72,0,10,188,194,saab +86,40,62,140,62,7,150,45,19,133,165,330,173,82,2,3,180,185,saab +104,52,94,208,66,5,208,31,24,161,227,666,218,76,11,4,193,191,bus 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+7.7,0.43,0.25,2.6,0.073,29,63,0.99615,3.37,0.58,10.5,Fine +8.9,0.59,0.5,2,0.337,27,81,0.9964,3.04,1.61,9.5,Fine +9,0.82,0.14,2.6,0.089,9,23,0.9984,3.39,0.63,9.8,Fine +7.7,0.43,0.25,2.6,0.073,29,63,0.99615,3.37,0.58,10.5,Fine +6.9,0.52,0.25,2.6,0.081,10,37,0.99685,3.46,0.5,11,Fine +5.2,0.48,0.04,1.6,0.054,19,106,0.9927,3.54,0.62,12.2,Superior +8,0.38,0.06,1.8,0.078,12,49,0.99625,3.37,0.52,9.9,Fine +8.5,0.37,0.2,2.8,0.09,18,58,0.998,3.34,0.7,9.6,Fine +6.9,0.52,0.25,2.6,0.081,10,37,0.99685,3.46,0.5,11,Fine +8.2,1,0.09,2.3,0.065,7,37,0.99685,3.32,0.55,9,Fine +7.2,0.63,0,1.9,0.097,14,38,0.99675,3.37,0.58,9,Fine +7.2,0.63,0,1.9,0.097,14,38,0.99675,3.37,0.58,9,Fine +7.2,0.645,0,1.9,0.097,15,39,0.99675,3.37,0.58,9.2,Fine +7.2,0.63,0,1.9,0.097,14,38,0.99675,3.37,0.58,9,Fine +8.2,1,0.09,2.3,0.065,7,37,0.99685,3.32,0.55,9,Fine +8.9,0.635,0.37,1.7,0.263,5,62,0.9971,3,1.09,9.3,Fine +12,0.38,0.56,2.1,0.093,6,24,0.99925,3.14,0.71,10.9,Fine +7.7,0.58,0.1,1.8,0.102,28,109,0.99565,3.08,0.49,9.8,Fine +15,0.21,0.44,2.2,0.075,10,24,1.00005,3.07,0.84,9.2,Superior +15,0.21,0.44,2.2,0.075,10,24,1.00005,3.07,0.84,9.2,Superior +7.3,0.66,0,2,0.084,6,23,0.9983,3.61,0.96,9.9,Fine +7.1,0.68,0.07,1.9,0.075,16,51,0.99685,3.38,0.52,9.5,Fine +8.2,0.6,0.17,2.3,0.072,11,73,0.9963,3.2,0.45,9.3,Fine +7.7,0.53,0.06,1.7,0.074,9,39,0.99615,3.35,0.48,9.8,Fine +7.3,0.66,0,2,0.084,6,23,0.9983,3.61,0.96,9.9,Fine +10.8,0.32,0.44,1.6,0.063,16,37,0.9985,3.22,0.78,10,Fine +7.1,0.6,0,1.8,0.074,16,34,0.9972,3.47,0.7,9.9,Fine +11.1,0.35,0.48,3.1,0.09,5,21,0.9986,3.17,0.53,10.5,Fine +7.7,0.775,0.42,1.9,0.092,8,86,0.9959,3.23,0.59,9.5,Fine +7.1,0.6,0,1.8,0.074,16,34,0.9972,3.47,0.7,9.9,Fine +8,0.57,0.23,3.2,0.073,17,119,0.99675,3.26,0.57,9.3,Fine +9.4,0.34,0.37,2.2,0.075,5,13,0.998,3.22,0.62,9.2,Fine +6.6,0.695,0,2.1,0.075,12,56,0.9968,3.49,0.67,9.2,Fine +7.7,0.41,0.76,1.8,0.611,8,45,0.9968,3.06,1.26,9.4,Fine +10,0.31,0.47,2.6,0.085,14,33,0.99965,3.36,0.8,10.5,Superior 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+8.4,0.56,0.04,2,0.082,10,22,0.9976,3.22,0.44,9.6,Fine +7.1,0.66,0,3.9,0.086,17,45,0.9976,3.46,0.54,9.5,Fine +8.4,0.56,0.04,2,0.082,10,22,0.9976,3.22,0.44,9.6,Fine +8.9,0.48,0.24,2.85,0.094,35,106,0.9982,3.1,0.53,9.2,Fine +7.6,0.42,0.08,2.7,0.084,15,48,0.9968,3.21,0.59,10,Fine +7.1,0.31,0.3,2.2,0.053,36,127,0.9965,2.94,1.62,9.5,Fine +7.5,1.115,0.1,3.1,0.086,5,12,0.9958,3.54,0.6,11.2,Inferior +9,0.66,0.17,3,0.077,5,13,0.9976,3.29,0.55,10.4,Fine +8.1,0.72,0.09,2.8,0.084,18,49,0.9994,3.43,0.72,11.1,Fine +6.4,0.57,0.02,1.8,0.067,4,11,0.997,3.46,0.68,9.5,Fine +6.4,0.57,0.02,1.8,0.067,4,11,0.997,3.46,0.68,9.5,Fine +6.4,0.865,0.03,3.2,0.071,27,58,0.995,3.61,0.49,12.7,Fine +9.5,0.55,0.66,2.3,0.387,12,37,0.9982,3.17,0.67,9.6,Fine +8.9,0.875,0.13,3.45,0.088,4,14,0.9994,3.44,0.52,11.5,Fine +7.3,0.835,0.03,2.1,0.092,10,19,0.9966,3.39,0.47,9.6,Fine +7,0.45,0.34,2.7,0.082,16,72,0.998,3.55,0.6,9.5,Fine +7.7,0.56,0.2,2,0.075,9,39,0.9987,3.48,0.62,9.3,Fine 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+7,0.685,0,1.9,0.099,9,22,0.99606,3.34,0.6,9.7,Fine +4.9,0.42,0,2.1,0.048,16,42,0.99154,3.71,0.74,14,Superior +6.7,0.54,0.13,2,0.076,15,36,0.9973,3.61,0.64,9.8,Fine +6.7,0.54,0.13,2,0.076,15,36,0.9973,3.61,0.64,9.8,Fine +7.1,0.48,0.28,2.8,0.068,6,16,0.99682,3.24,0.53,10.3,Fine +7.1,0.46,0.14,2.8,0.076,15,37,0.99624,3.36,0.49,10.7,Fine +7.5,0.27,0.34,2.3,0.05,4,8,0.9951,3.4,0.64,11,Superior +7.1,0.46,0.14,2.8,0.076,15,37,0.99624,3.36,0.49,10.7,Fine +7.8,0.57,0.09,2.3,0.065,34,45,0.99417,3.46,0.74,12.7,Superior +5.9,0.61,0.08,2.1,0.071,16,24,0.99376,3.56,0.77,11.1,Fine +7.5,0.685,0.07,2.5,0.058,5,9,0.99632,3.38,0.55,10.9,Inferior +5.9,0.61,0.08,2.1,0.071,16,24,0.99376,3.56,0.77,11.1,Fine +10.4,0.44,0.42,1.5,0.145,34,48,0.99832,3.38,0.86,9.9,Inferior +11.6,0.47,0.44,1.6,0.147,36,51,0.99836,3.38,0.86,9.9,Inferior +8.8,0.685,0.26,1.6,0.088,16,23,0.99694,3.32,0.47,9.4,Fine +7.6,0.665,0.1,1.5,0.066,27,55,0.99655,3.39,0.51,9.3,Fine 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+9.3,0.36,0.39,1.5,0.08,41,55,0.99652,3.47,0.73,10.9,Fine +9.3,0.36,0.39,1.5,0.08,41,55,0.99652,3.47,0.73,10.9,Fine +7.6,0.735,0.02,2.5,0.071,10,14,0.99538,3.51,0.71,11.7,Superior +9.3,0.36,0.39,1.5,0.08,41,55,0.99652,3.47,0.73,10.9,Fine +8.2,0.26,0.34,2.5,0.073,16,47,0.99594,3.4,0.78,11.3,Superior +11.7,0.28,0.47,1.7,0.054,17,32,0.99686,3.15,0.67,10.6,Superior +6.8,0.56,0.22,1.8,0.074,15,24,0.99438,3.4,0.82,11.2,Fine +7.2,0.62,0.06,2.7,0.077,15,85,0.99746,3.51,0.54,9.5,Fine +5.8,1.01,0.66,2,0.039,15,88,0.99357,3.66,0.6,11.5,Fine +7.5,0.42,0.32,2.7,0.067,7,25,0.99628,3.24,0.44,10.4,Fine +7.2,0.62,0.06,2.5,0.078,17,84,0.99746,3.51,0.53,9.7,Fine +7.2,0.62,0.06,2.7,0.077,15,85,0.99746,3.51,0.54,9.5,Fine +7.2,0.635,0.07,2.6,0.077,16,86,0.99748,3.51,0.54,9.7,Fine +6.8,0.49,0.22,2.3,0.071,13,24,0.99438,3.41,0.83,11.3,Fine +6.9,0.51,0.23,2,0.072,13,22,0.99438,3.4,0.84,11.2,Fine +6.8,0.56,0.22,1.8,0.074,15,24,0.99438,3.4,0.82,11.2,Fine +7.6,0.63,0.03,2,0.08,27,43,0.99578,3.44,0.64,10.9,Fine 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+8.5,0.4,0.4,6.3,0.05,3,10,0.99566,3.28,0.56,12,Inferior +7,0.69,0,1.9,0.114,3,10,0.99636,3.35,0.6,9.7,Fine +8,0.715,0.22,2.3,0.075,13,81,0.99688,3.24,0.54,9.5,Fine +9.8,0.3,0.39,1.7,0.062,3,9,0.9948,3.14,0.57,11.5,Superior +7.1,0.46,0.2,1.9,0.077,28,54,0.9956,3.37,0.64,10.4,Fine +7.1,0.46,0.2,1.9,0.077,28,54,0.9956,3.37,0.64,10.4,Fine +7.9,0.765,0,2,0.084,9,22,0.99619,3.33,0.68,10.9,Fine +8.7,0.63,0.28,2.7,0.096,17,69,0.99734,3.26,0.63,10.2,Fine +7,0.42,0.19,2.3,0.071,18,36,0.99476,3.39,0.56,10.9,Fine +11.3,0.37,0.5,1.8,0.09,20,47,0.99734,3.15,0.57,10.5,Fine +7.1,0.16,0.44,2.5,0.068,17,31,0.99328,3.35,0.54,12.4,Fine +8,0.6,0.08,2.6,0.056,3,7,0.99286,3.22,0.37,13,Fine +7,0.6,0.3,4.5,0.068,20,110,0.99914,3.3,1.17,10.2,Fine +7,0.6,0.3,4.5,0.068,20,110,0.99914,3.3,1.17,10.2,Fine +7.6,0.74,0,1.9,0.1,6,12,0.99521,3.36,0.59,11,Fine +8.2,0.635,0.1,2.1,0.073,25,60,0.99638,3.29,0.75,10.9,Fine +5.9,0.395,0.13,2.4,0.056,14,28,0.99362,3.62,0.67,12.4,Fine +7.5,0.755,0,1.9,0.084,6,12,0.99672,3.34,0.49,9.7,Inferior +8.2,0.635,0.1,2.1,0.073,25,60,0.99638,3.29,0.75,10.9,Fine +6.6,0.63,0,4.3,0.093,51,77.5,0.99558,3.2,0.45,9.5,Fine +6.6,0.63,0,4.3,0.093,51,77.5,0.99558,3.2,0.45,9.5,Fine +7.2,0.53,0.14,2.1,0.064,15,29,0.99323,3.35,0.61,12.1,Fine +5.7,0.6,0,1.4,0.063,11,18,0.99191,3.45,0.56,12.2,Fine +7.6,1.58,0,2.1,0.137,5,9,0.99476,3.5,0.4,10.9,Inferior +5.2,0.645,0,2.15,0.08,15,28,0.99444,3.78,0.61,12.5,Fine +6.7,0.86,0.07,2,0.1,20,57,0.99598,3.6,0.74,11.7,Fine +9.1,0.37,0.32,2.1,0.064,4,15,0.99576,3.3,0.8,11.2,Fine +8,0.28,0.44,1.8,0.081,28,68,0.99501,3.36,0.66,11.2,Fine +7.6,0.79,0.21,2.3,0.087,21,68,0.9955,3.12,0.44,9.2,Fine +7.5,0.61,0.26,1.9,0.073,24,88,0.99612,3.3,0.53,9.8,Fine +9.7,0.69,0.32,2.5,0.088,22,91,0.9979,3.29,0.62,10.1,Fine +6.8,0.68,0.09,3.9,0.068,15,29,0.99524,3.41,0.52,11.1,Inferior +9.7,0.69,0.32,2.5,0.088,22,91,0.9979,3.29,0.62,10.1,Fine +7,0.62,0.1,1.4,0.071,27,63,0.996,3.28,0.61,9.2,Fine +7.5,0.61,0.26,1.9,0.073,24,88,0.99612,3.3,0.53,9.8,Fine +6.5,0.51,0.15,3,0.064,12,27,0.9929,3.33,0.59,12.8,Fine +8,1.18,0.21,1.9,0.083,14,41,0.99532,3.34,0.47,10.5,Fine +7,0.36,0.21,2.3,0.086,20,65,0.99558,3.4,0.54,10.1,Fine +7,0.36,0.21,2.4,0.086,24,69,0.99556,3.4,0.53,10.1,Fine +7.5,0.63,0.27,2,0.083,17,91,0.99616,3.26,0.58,9.8,Fine +5.4,0.74,0,1.2,0.041,16,46,0.99258,4.01,0.59,12.5,Fine +9.9,0.44,0.46,2.2,0.091,10,41,0.99638,3.18,0.69,11.9,Fine +7.5,0.63,0.27,2,0.083,17,91,0.99616,3.26,0.58,9.8,Fine +9.1,0.76,0.68,1.7,0.414,18,64,0.99652,2.9,1.33,9.1,Fine +9.7,0.66,0.34,2.6,0.094,12,88,0.99796,3.26,0.66,10.1,Fine +5,0.74,0,1.2,0.041,16,46,0.99258,4.01,0.59,12.5,Fine +9.1,0.34,0.42,1.8,0.058,9,18,0.99392,3.18,0.55,11.4,Fine +9.1,0.36,0.39,1.8,0.06,21,55,0.99495,3.18,0.82,11,Superior +6.7,0.46,0.24,1.7,0.077,18,34,0.9948,3.39,0.6,10.6,Fine +6.7,0.46,0.24,1.7,0.077,18,34,0.9948,3.39,0.6,10.6,Fine +6.7,0.46,0.24,1.7,0.077,18,34,0.9948,3.39,0.6,10.6,Fine 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+5.9,0.645,0.12,2,0.075,32,44,0.99547,3.57,0.71,10.2,Fine +6,0.31,0.47,3.6,0.067,18,42,0.99549,3.39,0.66,11,Fine \ No newline at end of file diff --git a/frontend/src/components/DataSetSlider.vue b/frontend/src/components/DataSetSlider.vue index fa00da4..f06bcca 100644 --- a/frontend/src/components/DataSetSlider.vue +++ b/frontend/src/components/DataSetSlider.vue @@ -3,10 +3,11 @@ @@ -44,7 +45,7 @@ export default { name: 'DataSetSlider', data () { return { - defaultDataSet: 'IrisC', // default value for the first data set + defaultDataSet: 'WineC', // default value for the first data set searchText: 'Feature exploration', resetText: 'Factory reset', dataset: 'Data set' diff --git a/frontend/src/components/DataSpace.vue b/frontend/src/components/DataSpace.vue index 07914b3..85c6e34 100644 --- a/frontend/src/components/DataSpace.vue +++ b/frontend/src/components/DataSpace.vue @@ -397,28 +397,28 @@ export default { if (this.rootIDSelected == 1) { svgLines .append("text") - .attr("x", 0.5*width/4).attr("y", 210) + .attr("x", 0.5*width/4).attr("y", 248) .style("text-anchor", "middle") .style("font-size", "16px").text("Worst") .style("font-weight", "bold"); svgLines .append("text") - .attr("x", 1.5*width/4).attr("y", 210) + .attr("x", 1.5*width/4).attr("y", 248) .style("text-anchor", "middle") .style("font-size", "16px").text("Bad") .style("font-weight", "bold"); svgLines .append("text") - .attr("x", 2.5*width/4).attr("y", 210) + .attr("x", 2.5*width/4).attr("y", 248) .style("text-anchor", "middle") .style("font-size", "16px").text("Good") .style("font-weight", "bold"); svgLines .append("text") - .attr("x", 3.5*width/4).attr("y", 210) + .attr("x", 3.5*width/4).attr("y", 248) .style("text-anchor", "middle") .style("font-size", "16px").text("Best") .style("font-weight", "bold"); @@ -426,25 +426,25 @@ export default { } else if (this.rootIDSelected == 2) { svgLines .append("text") - .attr("x", 0.5*width/4).attr("y", 210) + .attr("x", 0.5*width/4).attr("y", 248) .style("text-anchor", "middle") .style("font-size", "16px").text("Worst"); svgLines .append("text") - .attr("x", 1.5*width/4).attr("y", 210) + .attr("x", 1.5*width/4).attr("y", 248) .style("text-anchor", "middle") .style("font-size", "16px").text("Bad"); svgLines .append("text") - .attr("x", 2.5*width/4).attr("y", 210) + .attr("x", 2.5*width/4).attr("y", 248) .style("text-anchor", "middle") .style("font-size", "16px").text("Good"); svgLines .append("text") - .attr("x", 3.5*width/4).attr("y", 210) + .attr("x", 3.5*width/4).attr("y", 248) .style("text-anchor", "middle") .style("font-size", "16px").text("Best") .style("font-weight", "bold"); @@ -452,78 +452,78 @@ export default { } else if (this.rootIDSelected == 3) { svgLines .append("text") - .attr("x", 0.5*width/4).attr("y", 210) + .attr("x", 0.5*width/4).attr("y", 248) .style("text-anchor", "middle") .style("font-size", "16px").text("Worst"); svgLines .append("text") - .attr("x", 1.5*width/4).attr("y", 210) + .attr("x", 1.5*width/4).attr("y", 248) .style("text-anchor", "middle") .style("font-size", "16px").text("Bad"); svgLines .append("text") - .attr("x", 2.5*width/4).attr("y", 210) + .attr("x", 2.5*width/4).attr("y", 248) .style("text-anchor", "middle") .style("font-size", "16px").text("Good") .style("font-weight", "bold"); svgLines .append("text") - .attr("x", 3.5*width/4).attr("y", 210) + .attr("x", 3.5*width/4).attr("y", 248) .style("text-anchor", "middle") .style("font-size", "16px").text("Best"); } else if (this.rootIDSelected == 4) { svgLines .append("text") - .attr("x", 0.5*width/4).attr("y", 210) + .attr("x", 0.5*width/4).attr("y", 248) .style("text-anchor", "middle") .style("font-size", "16px").text("Worst"); svgLines .append("text") - .attr("x", 1.5*width/4).attr("y", 210) + .attr("x", 1.5*width/4).attr("y", 248) .style("text-anchor", "middle") .style("font-size", "16px").text("Bad") .style("font-weight", "bold"); svgLines .append("text") - .attr("x", 2.5*width/4).attr("y", 210) + .attr("x", 2.5*width/4).attr("y", 248) .style("text-anchor", "middle") .style("font-size", "16px").text("Good"); svgLines .append("text") - .attr("x", 3.5*width/4).attr("y", 210) + .attr("x", 3.5*width/4).attr("y", 248) .style("text-anchor", "middle") .style("font-size", "16px").text("Best"); } else { svgLines .append("text") - .attr("x", 0.5*width/4).attr("y", 210) + .attr("x", 0.5*width/4).attr("y", 248) .style("text-anchor", "middle") .style("font-size", "16px").text("Worst") .style("font-weight", "bold"); svgLines .append("text") - .attr("x", 1.5*width/4).attr("y", 210) + .attr("x", 1.5*width/4).attr("y", 248) .style("text-anchor", "middle") .style("font-size", "16px").text("Bad"); svgLines .append("text") - .attr("x", 2.5*width/4).attr("y", 210) + .attr("x", 2.5*width/4).attr("y", 248) .style("text-anchor", "middle") .style("font-size", "16px").text("Good"); svgLines .append("text") - .attr("x", 3.5*width/4).attr("y", 210) + .attr("x", 3.5*width/4).attr("y", 248) .style("text-anchor", "middle") .style("font-size", "16px").text("Best"); diff --git a/frontend/src/components/FeatureSpaceDetail.vue b/frontend/src/components/FeatureSpaceDetail.vue index 1a8fdbe..514584d 100644 --- a/frontend/src/components/FeatureSpaceDetail.vue +++ b/frontend/src/components/FeatureSpaceDetail.vue @@ -16,7 +16,7 @@
-
+
@@ -187,6 +187,7 @@ export default { newVal = newVal / listofNodes.length outcome = oldVal - newVal pushEach.push({keyIns: featureNames[(index)*numberOfTransformations+1], valueIns: outcome}) + var transf3 = element.transf3 corrMatrixCombTotalLoc.push(Object.values(JSON.parse(transf3[10+quadrantNumberLocal]))[0] * 100) MIRemainingLoc.push(JSON.parse(transf3[20+quadrantNumberLocal])) @@ -480,6 +481,7 @@ export default { outcome = oldVal - newVal pushEach.push({keyIns: featureNames[(index)*numberOfTransformations+0], valueIns: outcome}) + var transf2 = element.transf2 corrMatrixCombLoc.push(Object.values(JSON.parse(transf2[5+quadrantNumberLocal]))) corrMatrixCombTotalLoc.push(Object.values(JSON.parse(transf2[10+quadrantNumberLocal]))[0] * 100) @@ -802,7 +804,7 @@ export default { if (element.valueIns > 0) { links.push({"source": index, "target": (pushEachFinal.length+indexIns), "value": Math.abs(element.valueIns) * 30, "lin_color": "#33a02c"}) } else if (element.valueIns == 0) { - links.push({"source": index, "target": (pushEachFinal.length+indexIns), "value": 0.01 * 30, "lin_color": "#D3D3D3"}) + links.push({"source": index, "target": (pushEachFinal.length+indexIns), "value": 0.1 * 30, "lin_color": "#D3D3D3"}) } else { links.push({"source": index, "target": (pushEachFinal.length+indexIns), "value": Math.abs(element.valueIns) * 30, "lin_color": "#e31a1c"}) } @@ -816,7 +818,7 @@ export default { }, graphVizualization () { - + var activeNodeLoc = this.activeLeafNode var svg = d3.select("#FeatureGraph"); svg.selectAll("*").remove(); var svg = d3.select('#chartID') @@ -824,7 +826,7 @@ export default { var legendCall = this.legendOnlyOnce - var listofNodes = this.dataFS[33] + var listofNodes = this.dataFS[34] var corrTarget = JSON.parse(this.dataFS[8+this.quadrantNumber]) var corrGlob = JSON.parse(this.dataFS[13+this.quadrantNumber]) @@ -871,26 +873,26 @@ export default { for (let i = 0; i < Object.keys(VIFVar).length; i++) { if (i != 0) { if (Object.values(VIFVar)[i] > 10) { - VIFVarFormatted.push(25) + VIFVarFormatted.push(100) } else if (Object.values(VIFVar)[i] > 5) { - VIFVarFormatted.push(50) - } else if (Object.values(VIFVar)[i] > 2.5) { VIFVarFormatted.push(75) + } else if (Object.values(VIFVar)[i] > 2.5) { + VIFVarFormatted.push(50) } else { - VIFVarFormatted.push(100) + VIFVarFormatted.push(25) } } } for (let i = 0; i < this.VIFRemaining.length; i++) { if (Object.values(VIFVar)[i] > 10) { - VIFVarFormatted.push(25) + VIFVarFormatted.push(100) } else if (Object.values(VIFVar)[i] > 5) { - VIFVarFormatted.push(50) - } else if (Object.values(VIFVar)[i] > 2.5) { VIFVarFormatted.push(75) + } else if (Object.values(VIFVar)[i] > 2.5) { + VIFVarFormatted.push(50) } else { - VIFVarFormatted.push(100) + VIFVarFormatted.push(25) } } @@ -915,11 +917,11 @@ export default { var MIMin = min(MIVar) var MIMax = max(MIVar) - MIVar = MIVar.map(normalize(MIMin, MIMax)) - var colorsScaleNodes = d3.scaleOrdinal() - .domain(d3.ticks([MIMin, MIMax, 5])) - .range(['#6baed6','#4292c6','#2171b5','#08519c','#08306b']); + MIVar = MIVar.map(normalize(MIMin, MIMax)) + var colorsScaleNodes = d3.scaleLinear() + .domain(d3.ticks(0, 1, 5)) + .range(['#9ecae1','#6baed6','#4292c6','#2171b5','#08519c']); var marginNodes = {top: 0, right: 0, bottom: 0, left: 0}; var width = 819 - marginNodes.right - marginNodes.left; @@ -1286,9 +1288,9 @@ export default { dispatch.call('layoutend', forceSim, p, i); ++i; - + if (i >= paramList.length) { - + var widthLoc = 100; var arcSize = (6 * widthLoc / 100); var arcSizeBlack = (10.2 * widthLoc / 100); @@ -1299,18 +1301,24 @@ export default { .attr("id", function(d, i) { return "svg" + (i); }) graph.nodes.forEach(function(itemVal, indexNode) { - + if (indexNode >= listofNodes.length) { + var indexNodeTransf = activeNodeLoc*12+indexNode + } else { + var indexNodeTransf = indexNode + } + var data = [] var barchartData = [] + if (IDsGather.includes(indexNode) || IDsGatherTrans.includes(indexNode)) { - data.push({value: VIFVarFormatted[indexNode], color: '#969696'}) + data.push({value: VIFVarFormatted[indexNodeTransf], color: '#969696'}) } else { - data.push({value: VIFVarFormatted[indexNode], color: '#D3D3D3'}) + data.push({value: VIFVarFormatted[indexNodeTransf], color: '#D3D3D3'}) } - data.push({value: corrGlobFormatted[indexNode], color: colorsScaleNodes(MIVar[indexNode])}) - + + data.push({value: corrGlobFormatted[indexNodeTransf], color: colorsScaleNodes(MIVar[indexNodeTransf])}) for(let k = 0; k < uniqueTarget.length; k++) { - barchartData.push({value: corrTargetFormatted[k][indexNode], class: k, color: colorCateg(uniqueTarget[k])}) + barchartData.push({value: corrTargetFormatted[k][indexNodeTransf], class: k, color: colorCateg(uniqueTarget[k])}) } var length = data.length @@ -1590,7 +1598,7 @@ export default { var exemplaryValues = [25, 75] dataLegend.push({value: 25, color: '#D3D3D3'}) - dataLegend.push({value: 50, color: '#6baed6'}) + dataLegend.push({value: 50, color: '#9ecae1'}) for(let k = 0; k < 2; k++) { binaryBarLegend.push({value: exemplaryValues[k], class: k, color: colorCateg(k)}) diff --git a/frontend/src/components/FeatureSpaceOverview.vue b/frontend/src/components/FeatureSpaceOverview.vue index 3127837..e8a46dc 100644 --- a/frontend/src/components/FeatureSpaceOverview.vue +++ b/frontend/src/components/FeatureSpaceOverview.vue @@ -122,7 +122,7 @@ export default { MIVar3 = MIVar3.concat(this.overallDataTransfMI[2]) MIVar4 = MIVar4.concat(this.overallDataTransfMI[3]) MIVar5 = MIVar5.concat(this.overallDataTransfMI[4]) - + function min(input) { if (toString.call(input) !== "[object Array]") return false; @@ -158,21 +158,10 @@ export default { MIVar3 = MIVar3.map(normalize(MIMin3, MIMax3)) MIVar4 = MIVar4.map(normalize(MIMin4, MIMax4)) MIVar5 = MIVar5.map(normalize(MIMin5, MIMax5)) - var colorsScaleNodes1 = d3v5.scaleOrdinal() - .domain(d3v5.ticks([MIMin1, MIMax1, 5])) - .range(['#6baed6','#4292c6','#2171b5','#08519c','#08306b']); - var colorsScaleNodes2 = d3v5.scaleOrdinal() - .domain(d3v5.ticks([MIMin2, MIMax2, 5])) - .range(['#6baed6','#4292c6','#2171b5','#08519c','#08306b']); - var colorsScaleNodes3 = d3v5.scaleOrdinal() - .domain(d3v5.ticks([MIMin3, MIMax3, 5])) - .range(['#6baed6','#4292c6','#2171b5','#08519c','#08306b']); - var colorsScaleNodes4 = d3v5.scaleOrdinal() - .domain(d3v5.ticks([MIMin4, MIMax4, 5])) - .range(['#6baed6','#4292c6','#2171b5','#08519c','#08306b']); - var colorsScaleNodes5 = d3v5.scaleOrdinal() - .domain(d3v5.ticks([MIMin5, MIMax5, 5])) - .range(['#6baed6','#4292c6','#2171b5','#08519c','#08306b']); + + var colorsScaleNodes = d3v5.scaleLinear() + .domain(d3v5.ticks(0, 1, 5)) + .range(['#9ecae1','#6baed6','#4292c6','#2171b5','#08519c']); var featuresQuad1 = [] var featuresQuad2 = [] @@ -183,101 +172,101 @@ export default { for (let i = 0; i < features[4].length; i++) { featuresQuad1.push({"name": features[0][i].key, "children": [ - {"name": features[0][i].value[0].keyIns, "lin_color": features[0][i].value[0].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[0][i*12+0]), "MI_pick":colorsScaleNodes1(MIVar1[i*features[4].length+0])}, - {"name": features[0][i].value[1].keyIns, "lin_color": features[0][i].value[1].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[0][i*12+1]), "MI_pick":colorsScaleNodes1(MIVar1[i*features[4].length+1])}, - {"name": features[0][i].value[2].keyIns, "lin_color": features[0][i].value[2].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[0][i*12+2]), "MI_pick":colorsScaleNodes1(MIVar1[i*features[4].length+2])}, - {"name": features[0][i].value[3].keyIns, "lin_color": features[0][i].value[3].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[0][i*12+3]), "MI_pick":colorsScaleNodes1(MIVar1[i*features[4].length+3])}, - {"name": features[0][i].value[4].keyIns, "lin_color": features[0][i].value[4].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[0][i*12+4]), "MI_pick":colorsScaleNodes1(MIVar1[i*features[4].length+4])}, - {"name": features[0][i].value[5].keyIns, "lin_color": features[0][i].value[5].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[0][i*12+5]), "MI_pick":colorsScaleNodes1(MIVar1[i*features[4].length+5])}, - {"name": features[0][i].value[6].keyIns, "lin_color": features[0][i].value[6].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[0][i*12+6]), "MI_pick":colorsScaleNodes1(MIVar1[i*features[4].length+6])}, - {"name": features[0][i].value[7].keyIns, "lin_color": features[0][i].value[7].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[0][i*12+7]), "MI_pick":colorsScaleNodes1(MIVar1[i*features[4].length+7])}, - {"name": features[0][i].value[8].keyIns, "lin_color": features[0][i].value[8].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[0][i*12+8]), "MI_pick":colorsScaleNodes1(MIVar1[i*features[4].length+8])}, - {"name": features[0][i].value[9].keyIns, "lin_color": features[0][i].value[9].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[0][i*12+9]), "MI_pick":colorsScaleNodes1(MIVar1[i*features[4].length+9])}, - {"name": features[0][i].value[10].keyIns, "lin_color": features[0][i].value[10].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[0][i*12+10]), "MI_pick":colorsScaleNodes1(MIVar1[i*features[4].length+10])}, - {"name": features[0][i].value[11].keyIns, "lin_color": features[0][i].value[11].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[0][i*12+11]), "MI_pick":colorsScaleNodes1(MIVar1[i*features[4].length+11])}, + {"name": features[0][i].value[0].keyIns, "lin_color": features[0][i].value[0].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[0][i*12+0]), "MI_pick":colorsScaleNodes(MIVar1[features[4].length+i*12+0])}, + {"name": features[0][i].value[1].keyIns, "lin_color": features[0][i].value[1].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[0][i*12+1]), "MI_pick":colorsScaleNodes(MIVar1[features[4].length+i*12+1])}, + {"name": features[0][i].value[2].keyIns, "lin_color": features[0][i].value[2].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[0][i*12+2]), "MI_pick":colorsScaleNodes(MIVar1[features[4].length+i*12+2])}, + {"name": features[0][i].value[3].keyIns, "lin_color": features[0][i].value[3].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[0][i*12+3]), "MI_pick":colorsScaleNodes(MIVar1[features[4].length+i*12+3])}, + {"name": features[0][i].value[4].keyIns, "lin_color": features[0][i].value[4].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[0][i*12+4]), "MI_pick":colorsScaleNodes(MIVar1[features[4].length+i*12+4])}, + {"name": features[0][i].value[5].keyIns, "lin_color": features[0][i].value[5].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[0][i*12+5]), "MI_pick":colorsScaleNodes(MIVar1[features[4].length+i*12+5])}, + {"name": features[0][i].value[6].keyIns, "lin_color": features[0][i].value[6].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[0][i*12+6]), "MI_pick":colorsScaleNodes(MIVar1[features[4].length+i*12+6])}, + {"name": features[0][i].value[7].keyIns, "lin_color": features[0][i].value[7].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[0][i*12+7]), "MI_pick":colorsScaleNodes(MIVar1[features[4].length+i*12+7])}, + {"name": features[0][i].value[8].keyIns, "lin_color": features[0][i].value[8].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[0][i*12+8]), "MI_pick":colorsScaleNodes(MIVar1[features[4].length+i*12+8])}, + {"name": features[0][i].value[9].keyIns, "lin_color": features[0][i].value[9].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[0][i*12+9]), "MI_pick":colorsScaleNodes(MIVar1[features[4].length+i*12+9])}, + {"name": features[0][i].value[10].keyIns, "lin_color": features[0][i].value[10].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[0][i*12+10]), "MI_pick":colorsScaleNodes(MIVar1[features[4].length+i*12+10])}, + {"name": features[0][i].value[11].keyIns, "lin_color": features[0][i].value[11].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[0][i*12+11]), "MI_pick":colorsScaleNodes(MIVar1[features[4].length+i*12+11])}, ], "lin_color": features[0][i].value[0].valueIns+features[0][i].value[1].valueIns+features[0][i].value[2].valueIns+features[0][i].value[3].valueIns+features[0][i].value[4].valueIns+features[0][i].value[5].valueIns+features[0][i].value[6].valueIns+features[0][i].value[7].valueIns+features[0][i].value[8].valueIns+features[0][i].value[9].valueIns+features[0][i].value[10].valueIns+features[0][i].value[11].valueIns, "Corr_pick": Math.round(Object.values(corrGlob1)[i+1]['0'] * 100), - "MI_pick": colorsScaleNodes1(MIVar1[i]) + "MI_pick": colorsScaleNodes(MIVar1[i]) }) featuresQuad2.push({"name": features[1][i].key, "children": [ - {"name": features[1][i].value[0].keyIns, "lin_color": features[1][i].value[0].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[1][i*12+0]), "MI_pick":colorsScaleNodes2(MIVar2[i*features[4].length+0])}, - {"name": features[1][i].value[1].keyIns, "lin_color": features[1][i].value[1].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[1][i*12+1]), "MI_pick":colorsScaleNodes2(MIVar2[i*features[4].length+1])}, - {"name": features[1][i].value[2].keyIns, "lin_color": features[1][i].value[2].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[1][i*12+2]), "MI_pick":colorsScaleNodes2(MIVar2[i*features[4].length+2])}, - {"name": features[1][i].value[3].keyIns, "lin_color": features[1][i].value[3].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[1][i*12+3]), "MI_pick":colorsScaleNodes2(MIVar2[i*features[4].length+3])}, - {"name": features[1][i].value[4].keyIns, "lin_color": features[1][i].value[4].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[1][i*12+4]), "MI_pick":colorsScaleNodes2(MIVar2[i*features[4].length+4])}, - {"name": features[1][i].value[5].keyIns, "lin_color": features[1][i].value[5].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[1][i*12+5]), "MI_pick":colorsScaleNodes2(MIVar2[i*features[4].length+5])}, - {"name": features[1][i].value[6].keyIns, "lin_color": features[1][i].value[6].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[1][i*12+6]), "MI_pick":colorsScaleNodes2(MIVar2[i*features[4].length+6])}, - {"name": features[1][i].value[7].keyIns, "lin_color": features[1][i].value[7].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[1][i*12+7]), "MI_pick":colorsScaleNodes2(MIVar2[i*features[4].length+7])}, - {"name": features[1][i].value[8].keyIns, "lin_color": features[1][i].value[8].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[1][i*12+8]), "MI_pick":colorsScaleNodes2(MIVar2[i*features[4].length+8])}, - {"name": features[1][i].value[9].keyIns, "lin_color": features[1][i].value[9].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[1][i*12+9]), "MI_pick":colorsScaleNodes2(MIVar2[i*features[4].length+9])}, - {"name": features[1][i].value[10].keyIns, "lin_color": features[1][i].value[10].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[1][i*12+10]), "MI_pick":colorsScaleNodes2(MIVar2[i*features[4].length+10])}, - {"name": features[1][i].value[11].keyIns, "lin_color": features[1][i].value[11].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[1][i*12+11]), "MI_pick":colorsScaleNodes2(MIVar2[i*features[4].length+11])}, + {"name": features[1][i].value[0].keyIns, "lin_color": features[1][i].value[0].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[1][i*12+0]), "MI_pick":colorsScaleNodes(MIVar2[features[4].length+features[4].length+i*12+0])}, + {"name": features[1][i].value[1].keyIns, "lin_color": features[1][i].value[1].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[1][i*12+1]), "MI_pick":colorsScaleNodes(MIVar2[features[4].length+features[4].length+i*12+1])}, + {"name": features[1][i].value[2].keyIns, "lin_color": features[1][i].value[2].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[1][i*12+2]), "MI_pick":colorsScaleNodes(MIVar2[features[4].length+features[4].length+i*12+2])}, + {"name": features[1][i].value[3].keyIns, "lin_color": features[1][i].value[3].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[1][i*12+3]), "MI_pick":colorsScaleNodes(MIVar2[features[4].length+i*12+3])}, + {"name": features[1][i].value[4].keyIns, "lin_color": features[1][i].value[4].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[1][i*12+4]), "MI_pick":colorsScaleNodes(MIVar2[features[4].length+i*12+4])}, + {"name": features[1][i].value[5].keyIns, "lin_color": features[1][i].value[5].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[1][i*12+5]), "MI_pick":colorsScaleNodes(MIVar2[features[4].length+i*12+5])}, + {"name": features[1][i].value[6].keyIns, "lin_color": features[1][i].value[6].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[1][i*12+6]), "MI_pick":colorsScaleNodes(MIVar2[features[4].length+i*12+6])}, + {"name": features[1][i].value[7].keyIns, "lin_color": features[1][i].value[7].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[1][i*12+7]), "MI_pick":colorsScaleNodes(MIVar2[features[4].length+i*12+7])}, + {"name": features[1][i].value[8].keyIns, "lin_color": features[1][i].value[8].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[1][i*12+8]), "MI_pick":colorsScaleNodes(MIVar2[features[4].length+i*12+8])}, + {"name": features[1][i].value[9].keyIns, "lin_color": features[1][i].value[9].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[1][i*12+9]), "MI_pick":colorsScaleNodes(MIVar2[features[4].length+i*12+9])}, + {"name": features[1][i].value[10].keyIns, "lin_color": features[1][i].value[10].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[1][i*12+10]), "MI_pick":colorsScaleNodes(MIVar2[features[4].length+i*12+10])}, + {"name": features[1][i].value[11].keyIns, "lin_color": features[1][i].value[11].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[1][i*12+11]), "MI_pick":colorsScaleNodes(MIVar2[features[4].length+i*12+11])}, ], "lin_color": features[1][i].value[0].valueIns+features[1][i].value[1].valueIns+features[1][i].value[2].valueIns+features[1][i].value[3].valueIns+features[1][i].value[4].valueIns+features[1][i].value[5].valueIns+features[1][i].value[6].valueIns+features[1][i].value[7].valueIns+features[1][i].value[8].valueIns+features[1][i].value[9].valueIns+features[1][i].value[10].valueIns+features[1][i].value[11].valueIns, "Corr_pick": Math.round(Object.values(corrGlob2)[i+1]['0'] * 100), - "MI_pick": colorsScaleNodes2(MIVar2[i]) + "MI_pick": colorsScaleNodes(MIVar2[i]) }) featuresQuad3.push({"name": features[2][i].key, "children": [ - {"name": features[2][i].value[0].keyIns, "lin_color": features[2][i].value[0].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[2][i*12+0]), "MI_pick":colorsScaleNodes3(MIVar3[i*features[4].length+0])}, - {"name": features[2][i].value[1].keyIns, "lin_color": features[2][i].value[1].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[2][i*12+1]), "MI_pick":colorsScaleNodes3(MIVar3[i*features[4].length+1])}, - {"name": features[2][i].value[2].keyIns, "lin_color": features[2][i].value[2].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[2][i*12+2]), "MI_pick":colorsScaleNodes3(MIVar3[i*features[4].length+2])}, - {"name": features[2][i].value[3].keyIns, "lin_color": features[2][i].value[3].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[2][i*12+3]), "MI_pick":colorsScaleNodes3(MIVar3[i*features[4].length+3])}, - 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"MI_pick": colorsScaleNodes4(MIVar4[i]) + "MI_pick": colorsScaleNodes(MIVar4[i]) }) featuresQuad5.push({"name": features[4][i].key, "children": [ - {"name": features[4][i].value[0].keyIns, "lin_color": features[4][i].value[0].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[4][i*12+0]), "MI_pick":colorsScaleNodes5(MIVar5[i*features[4].length+0])}, - {"name": features[4][i].value[1].keyIns, "lin_color": features[4][i].value[1].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[4][i*12+1]), "MI_pick":colorsScaleNodes5(MIVar5[i*features[4].length+1])}, - {"name": features[4][i].value[2].keyIns, "lin_color": features[4][i].value[2].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[4][i*12+2]), "MI_pick":colorsScaleNodes5(MIVar5[i*features[4].length+2])}, - {"name": features[4][i].value[3].keyIns, "lin_color": features[4][i].value[3].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[4][i*12+3]), "MI_pick":colorsScaleNodes5(MIVar5[i*features[4].length+3])}, - {"name": features[4][i].value[4].keyIns, "lin_color": features[4][i].value[4].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[4][i*12+4]), "MI_pick":colorsScaleNodes5(MIVar5[i*features[4].length+4])}, - {"name": features[4][i].value[5].keyIns, "lin_color": features[4][i].value[5].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[4][i*12+5]), "MI_pick":colorsScaleNodes5(MIVar5[i*features[4].length+5])}, - {"name": features[4][i].value[6].keyIns, "lin_color": features[4][i].value[6].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[4][i*12+6]), "MI_pick":colorsScaleNodes5(MIVar5[i*features[4].length+6])}, - {"name": features[4][i].value[7].keyIns, "lin_color": features[4][i].value[7].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[4][i*12+7]), "MI_pick":colorsScaleNodes5(MIVar5[i*features[4].length+7])}, - {"name": features[4][i].value[8].keyIns, "lin_color": features[4][i].value[8].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[4][i*12+8]), "MI_pick":colorsScaleNodes5(MIVar5[i*features[4].length+8])}, - {"name": features[4][i].value[9].keyIns, "lin_color": features[4][i].value[9].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[4][i*12+9]), "MI_pick":colorsScaleNodes5(MIVar5[i*features[4].length+9])}, - {"name": features[4][i].value[10].keyIns, "lin_color": features[4][i].value[10].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[4][i*12+10]), "MI_pick":colorsScaleNodes5(MIVar5[i*features[4].length+10])}, - {"name": features[4][i].value[11].keyIns, "lin_color": features[4][i].value[11].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[4][i*12+11]), "MI_pick":colorsScaleNodes5(MIVar5[i*features[4].length+11])}, + {"name": features[4][i].value[0].keyIns, "lin_color": features[4][i].value[0].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[4][i*12+0]), "MI_pick":colorsScaleNodes(MIVar5[features[4].length+i*12+0])}, + {"name": features[4][i].value[1].keyIns, "lin_color": features[4][i].value[1].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[4][i*12+1]), "MI_pick":colorsScaleNodes(MIVar5[features[4].length+i*12+1])}, + {"name": features[4][i].value[2].keyIns, "lin_color": features[4][i].value[2].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[4][i*12+2]), "MI_pick":colorsScaleNodes(MIVar5[features[4].length+i*12+2])}, + {"name": features[4][i].value[3].keyIns, "lin_color": features[4][i].value[3].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[4][i*12+3]), "MI_pick":colorsScaleNodes(MIVar5[features[4].length+i*12+3])}, + {"name": features[4][i].value[4].keyIns, "lin_color": features[4][i].value[4].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[4][i*12+4]), "MI_pick":colorsScaleNodes(MIVar5[features[4].length+i*12+4])}, + {"name": features[4][i].value[5].keyIns, "lin_color": features[4][i].value[5].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[4][i*12+5]), "MI_pick":colorsScaleNodes(MIVar5[features[4].length+i*12+5])}, + {"name": features[4][i].value[6].keyIns, "lin_color": features[4][i].value[6].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[4][i*12+6]), "MI_pick":colorsScaleNodes(MIVar5[features[4].length+i*12+6])}, + {"name": features[4][i].value[7].keyIns, "lin_color": features[4][i].value[7].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[4][i*12+7]), "MI_pick":colorsScaleNodes(MIVar5[features[4].length+i*12+7])}, + {"name": features[4][i].value[8].keyIns, "lin_color": features[4][i].value[8].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[4][i*12+8]), "MI_pick":colorsScaleNodes(MIVar5[features[4].length+i*12+8])}, + {"name": features[4][i].value[9].keyIns, "lin_color": features[4][i].value[9].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[4][i*12+9]), "MI_pick":colorsScaleNodes(MIVar5[features[4].length+i*12+9])}, + {"name": features[4][i].value[10].keyIns, "lin_color": features[4][i].value[10].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[4][i*12+10]), "MI_pick":colorsScaleNodes(MIVar5[features[4].length+i*12+10])}, + {"name": features[4][i].value[11].keyIns, "lin_color": features[4][i].value[11].valueIns, "Corr_pick": Math.round(this.overallDataTransfCorr[4][i*12+11]), "MI_pick":colorsScaleNodes(MIVar5[features[4].length+i*12+11])}, ], "lin_color": features[4][i].value[0].valueIns+features[4][i].value[1].valueIns+features[4][i].value[2].valueIns+features[4][i].value[3].valueIns+features[4][i].value[4].valueIns+features[4][i].value[5].valueIns+features[4][i].value[6].valueIns+features[4][i].value[7].valueIns+features[4][i].value[8].valueIns+features[4][i].value[9].valueIns+features[4][i].value[10].valueIns+features[4][i].value[11].valueIns, "Corr_pick": Math.round(Object.values(corrGlob5)[i+1]['0'] * 100), - "MI_pick": colorsScaleNodes5(MIVar5[i]) + "MI_pick": colorsScaleNodes(MIVar5[i]) }) } - + var spaceSlice1=0 var spaceSlice2 = 0 var spaceSlice3 = 0 @@ -1185,9 +1174,9 @@ export default { var legendRectSize = 14; var legendSpacing = 3; + var color = d3v5.scaleOrdinal(d3v5.schemeDark2) var labelsData = JSON.parse(this.overallData[1]) - var color = d3v5.scaleOrdinal().domain(labelsData).range(['#808000','#7570b3','#d95f02','#1b9e77']) - + var svgLegend = d3v5.select('#legendTarget').append('svg') .attr('width', 130) .attr('height', 60) @@ -1199,7 +1188,7 @@ export default { .attr('class', 'legend') // NEW .attr('transform', function(d, i) { // NEW var height = legendRectSize + legendSpacing; // NEW - var offset = height * 0 / 2; + var offset = height * color.domain().length / 2; var horz = 25 // NEW var vert = i * height - offset; // NEW return 'translate(' + horz + ',' + vert + ')'; // NEW @@ -1208,14 +1197,14 @@ export default { legend.append('rect') .attr('width', legendRectSize) .attr('height', legendRectSize) - .style('fill', function (d) { var d_string = String(d); return color(d_string) }) + .style('fill', function (d) { return color(d) }) .style('opacity', "0.5"); legend.append('text') .attr('class', 'legendLab') .attr('x', legendRectSize + legendSpacing) .attr('y', legendRectSize - legendSpacing) - .text(function(d) { return d; }); + .text(function(d) { return d; }); } }, mounted () { diff --git a/frontend/src/components/Main.vue b/frontend/src/components/Main.vue index 8573750..0a7842e 100755 --- a/frontend/src/components/Main.vue +++ b/frontend/src/components/Main.vue @@ -149,7 +149,7 @@ export default Vue.extend({ DataResults: '', keyNow: 1, instancesImportance: '', - RetrieveValueFile: 'HeartC', // this is for the default data set + RetrieveValueFile: 'WineC', // this is for the default data set SelectedFeaturesPerClassifier: '', FinalResults: 0, selectedAlgorithm: '', diff --git a/insertMongo.py b/insertMongo.py index d914455..6b1dac7 100644 --- a/insertMongo.py +++ b/insertMongo.py @@ -10,7 +10,7 @@ def import_content(filepath): mng_client = pymongo.MongoClient('localhost', 27017) mng_db = mng_client['mydb'] #collection_name = 'StanceCTest' - collection_name = 'HeartC' + collection_name = 'WineC' db_cm = mng_db[collection_name] cdir = os.path.dirname(__file__) file_res = os.path.join(cdir, filepath) @@ -21,5 +21,5 @@ def import_content(filepath): db_cm.insert(data_json) if __name__ == "__main__": - filepath = '/Users/anchaa/Documents/Research/FeatureEnVi_code/extra_data_sets/heart.csv' + filepath = '/Users/anchaa/Documents/Research/FeatureEnVi_code/extra_data_sets/winequality.csv' import_content(filepath) \ No newline at end of file diff --git a/run.py b/run.py index 70e205c..1004c50 100644 --- a/run.py +++ b/run.py @@ -280,6 +280,22 @@ def retrieveFileName(): CollectionDB = mongo.db.diabetesC.find() target_names.append('Negative') target_names.append('Positive') + elif data['fileName'] == 'ContraceptiveC': + CollectionDB = mongo.db.ContraceptiveC.find() + target_names.append('No-use') + target_names.append('Long-term') + target_names.append('Short-term') + elif data['fileName'] == 'VehicleC': + CollectionDB = mongo.db.VehicleC.find() + target_names.append('Van') + target_names.append('Saab') + target_names.append('Bus') + target_names.append('Opel') + elif data['fileName'] == 'WineC': + CollectionDB = mongo.db.WineC.find() + target_names.append('Fine') + target_names.append('Superior') + target_names.append('Inferior') else: CollectionDB = mongo.db.IrisC.find() DataResultsRaw = [] @@ -682,6 +698,9 @@ def executeModel(exeCall, flagEx, nodeTransfName): columnsNames.append(splittedCol[0]) else: columnsNames.append(splittedCol[0]+'_'+tran) + + print(XData) + featureImportanceData = estimatorFeatureSelection(XDataNoRemoval, estimator) tracker = [] @@ -786,7 +805,7 @@ def estimatorFeatureSelection(Data, clf): selector = RFECV(estimator=estim, n_jobs = -1, step=1, cv=crossValidation) selector = selector.fit(Data, yData) RFEImp = selector.ranking_ - + print(RFEImp) for f in range(Data.shape[1]): if (RFEImp[f] == 1): RankingFS.append(0.95)