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4a34bec125
* Completed NN * Made changes * Added return in identity function * Added <random> and fixed namespace naming * clang-tidy changes * Update machine_learning/neural_network.cpp Co-authored-by: David Leal <halfpacho@gmail.com> * Update machine_learning/neural_network.cpp Co-authored-by: David Leal <halfpacho@gmail.com> * Update machine_learning/neural_network.cpp Co-authored-by: David Leal <halfpacho@gmail.com> * Update machine_learning/vector_ops.hpp Co-authored-by: David Leal <halfpacho@gmail.com> * Update machine_learning/vector_ops.hpp Co-authored-by: David Leal <halfpacho@gmail.com> * Update machine_learning/neural_network.cpp Co-authored-by: David Leal <halfpacho@gmail.com> * Update machine_learning/neural_network.cpp Co-authored-by: David Leal <halfpacho@gmail.com> * added std::cerr and changed argmax's namespace * Done suggested changes * Fixed a comment * clang-tidy fixes Co-authored-by: David Leal <halfpacho@gmail.com>
2.6 KiB
2.6 KiB
| 1 | https://archive.ics.uci.edu/ml/datasets/iris |
|---|---|
| 2 | sepal length in cm,sepal width in cm,petal length in cm,petal width in cm |
| 3 | 5.1,3.5,1.4,.2,0 |
| 4 | 4.9,3,1.4,.2,0 |
| 5 | 4.7,3.2,1.3,.2,0 |
| 6 | 4.6,3.1,1.5,.2,0 |
| 7 | 5,3.6,1.4,.2,0 |
| 8 | 5.4,3.9,1.7,.4,0 |
| 9 | 4.6,3.4,1.4,.3,0 |
| 10 | 5,3.4,1.5,.2,0 |
| 11 | 4.4,2.9,1.4,.2,0 |
| 12 | 4.9,3.1,1.5,.1,0 |
| 13 | 5.4,3.7,1.5,.2,0 |
| 14 | 4.8,3.4,1.6,.2,0 |
| 15 | 4.8,3,1.4,.1,0 |
| 16 | 4.3,3,1.1,.1,0 |
| 17 | 5.8,4,1.2,.2,0 |
| 18 | 5.7,4.4,1.5,.4,0 |
| 19 | 5.4,3.9,1.3,.4,0 |
| 20 | 5.1,3.5,1.4,.3,0 |
| 21 | 5.7,3.8,1.7,.3,0 |
| 22 | 5.1,3.8,1.5,.3,0 |
| 23 | 5.4,3.4,1.7,.2,0 |
| 24 | 5.1,3.7,1.5,.4,0 |
| 25 | 4.6,3.6,1,.2,0 |
| 26 | 5.1,3.3,1.7,.5,0 |
| 27 | 4.8,3.4,1.9,.2,0 |
| 28 | 5,3,1.6,.2,0 |
| 29 | 5,3.4,1.6,.4,0 |
| 30 | 5.2,3.5,1.5,.2,0 |
| 31 | 5.2,3.4,1.4,.2,0 |
| 32 | 4.7,3.2,1.6,.2,0 |
| 33 | 4.8,3.1,1.6,.2,0 |
| 34 | 5.4,3.4,1.5,.4,0 |
| 35 | 5.2,4.1,1.5,.1,0 |
| 36 | 5.5,4.2,1.4,.2,0 |
| 37 | 4.9,3.1,1.5,.2,0 |
| 38 | 5,3.2,1.2,.2,0 |
| 39 | 5.5,3.5,1.3,.2,0 |
| 40 | 4.9,3.6,1.4,.1,0 |
| 41 | 4.4,3,1.3,.2,0 |
| 42 | 5.1,3.4,1.5,.2,0 |
| 43 | 5,3.5,1.3,.3,0 |
| 44 | 4.5,2.3,1.3,.3,0 |
| 45 | 4.4,3.2,1.3,.2,0 |
| 46 | 5,3.5,1.6,.6,0 |
| 47 | 5.1,3.8,1.9,.4,0 |
| 48 | 4.8,3,1.4,.3,0 |
| 49 | 5.1,3.8,1.6,.2,0 |
| 50 | 4.6,3.2,1.4,.2,0 |
| 51 | 5.3,3.7,1.5,.2,0 |
| 52 | 5,3.3,1.4,.2,0 |
| 53 | 7,3.2,4.7,1.4,1 |
| 54 | 6.4,3.2,4.5,1.5,1 |
| 55 | 6.9,3.1,4.9,1.5,1 |
| 56 | 5.5,2.3,4,1.3,1 |
| 57 | 6.5,2.8,4.6,1.5,1 |
| 58 | 5.7,2.8,4.5,1.3,1 |
| 59 | 6.3,3.3,4.7,1.6,1 |
| 60 | 4.9,2.4,3.3,1,1 |
| 61 | 6.6,2.9,4.6,1.3,1 |
| 62 | 5.2,2.7,3.9,1.4,1 |
| 63 | 5,2,3.5,1,1 |
| 64 | 5.9,3,4.2,1.5,1 |
| 65 | 6,2.2,4,1,1 |
| 66 | 6.1,2.9,4.7,1.4,1 |
| 67 | 5.6,2.9,3.6,1.3,1 |
| 68 | 6.7,3.1,4.4,1.4,1 |
| 69 | 5.6,3,4.5,1.5,1 |
| 70 | 5.8,2.7,4.1,1,1 |
| 71 | 6.2,2.2,4.5,1.5,1 |
| 72 | 5.6,2.5,3.9,1.1,1 |
| 73 | 5.9,3.2,4.8,1.8,1 |
| 74 | 6.1,2.8,4,1.3,1 |
| 75 | 6.3,2.5,4.9,1.5,1 |
| 76 | 6.1,2.8,4.7,1.2,1 |
| 77 | 6.4,2.9,4.3,1.3,1 |
| 78 | 6.6,3,4.4,1.4,1 |
| 79 | 6.8,2.8,4.8,1.4,1 |
| 80 | 6.7,3,5,1.7,1 |
| 81 | 6,2.9,4.5,1.5,1 |
| 82 | 5.7,2.6,3.5,1,1 |
| 83 | 5.5,2.4,3.8,1.1,1 |
| 84 | 5.5,2.4,3.7,1,1 |
| 85 | 5.8,2.7,3.9,1.2,1 |
| 86 | 6,2.7,5.1,1.6,1 |
| 87 | 5.4,3,4.5,1.5,1 |
| 88 | 6,3.4,4.5,1.6,1 |
| 89 | 6.7,3.1,4.7,1.5,1 |
| 90 | 6.3,2.3,4.4,1.3,1 |
| 91 | 5.6,3,4.1,1.3,1 |
| 92 | 5.5,2.5,4,1.3,1 |
| 93 | 5.5,2.6,4.4,1.2,1 |
| 94 | 6.1,3,4.6,1.4,1 |
| 95 | 5.8,2.6,4,1.2,1 |
| 96 | 5,2.3,3.3,1,1 |
| 97 | 5.6,2.7,4.2,1.3,1 |
| 98 | 5.7,3,4.2,1.2,1 |
| 99 | 5.7,2.9,4.2,1.3,1 |
| 100 | 6.2,2.9,4.3,1.3,1 |
| 101 | 5.1,2.5,3,1.1,1 |
| 102 | 5.7,2.8,4.1,1.3,1 |
| 103 | 6.3,3.3,6,2.5,2 |
| 104 | 5.8,2.7,5.1,1.9,2 |
| 105 | 7.1,3,5.9,2.1,2 |
| 106 | 6.3,2.9,5.6,1.8,2 |
| 107 | 6.5,3,5.8,2.2,2 |
| 108 | 7.6,3,6.6,2.1,2 |
| 109 | 4.9,2.5,4.5,1.7,2 |
| 110 | 7.3,2.9,6.3,1.8,2 |
| 111 | 6.7,2.5,5.8,1.8,2 |
| 112 | 7.2,3.6,6.1,2.5,2 |
| 113 | 6.5,3.2,5.1,2,2 |
| 114 | 6.4,2.7,5.3,1.9,2 |
| 115 | 6.8,3,5.5,2.1,2 |
| 116 | 5.7,2.5,5,2,2 |
| 117 | 5.8,2.8,5.1,2.4,2 |
| 118 | 6.4,3.2,5.3,2.3,2 |
| 119 | 6.5,3,5.5,1.8,2 |
| 120 | 7.7,3.8,6.7,2.2,2 |
| 121 | 7.7,2.6,6.9,2.3,2 |
| 122 | 6,2.2,5,1.5,2 |
| 123 | 6.9,3.2,5.7,2.3,2 |
| 124 | 5.6,2.8,4.9,2,2 |
| 125 | 7.7,2.8,6.7,2,2 |
| 126 | 6.3,2.7,4.9,1.8,2 |
| 127 | 6.7,3.3,5.7,2.1,2 |
| 128 | 7.2,3.2,6,1.8,2 |
| 129 | 6.2,2.8,4.8,1.8,2 |
| 130 | 6.1,3,4.9,1.8,2 |
| 131 | 6.4,2.8,5.6,2.1,2 |
| 132 | 7.2,3,5.8,1.6,2 |
| 133 | 7.4,2.8,6.1,1.9,2 |
| 134 | 7.9,3.8,6.4,2,2 |
| 135 | 6.4,2.8,5.6,2.2,2 |
| 136 | 6.3,2.8,5.1,1.5,2 |
| 137 | 6.1,2.6,5.6,1.4,2 |
| 138 | 7.7,3,6.1,2.3,2 |
| 139 | 6.3,3.4,5.6,2.4,2 |
| 140 | 6.4,3.1,5.5,1.8,2 |
| 141 | 6,3,4.8,1.8,2 |
| 142 | 6.9,3.1,5.4,2.1,2 |
| 143 | 6.7,3.1,5.6,2.4,2 |
| 144 | 6.9,3.1,5.1,2.3,2 |
| 145 | 5.8,2.7,5.1,1.9,2 |
| 146 | 6.8,3.2,5.9,2.3,2 |
| 147 | 6.7,3.3,5.7,2.5,2 |
| 148 | 6.7,3,5.2,2.3,2 |
| 149 | 6.3,2.5,5,1.9,2 |
| 150 | 6.5,3,5.2,2,2 |
| 151 | 6.2,3.4,5.4,2.3,2 |
| 152 | 5.9,3,5.1,1.8,2 |