/ tests / tensorflow / iris_training.csv
iris_training.csv
  1  120,4,setosa,versicolor,virginica
  2  6.4,2.8,5.6,2.2,2
  3  5.0,2.3,3.3,1.0,1
  4  4.9,2.5,4.5,1.7,2
  5  4.9,3.1,1.5,0.1,0
  6  5.7,3.8,1.7,0.3,0
  7  4.4,3.2,1.3,0.2,0
  8  5.4,3.4,1.5,0.4,0
  9  6.9,3.1,5.1,2.3,2
 10  6.7,3.1,4.4,1.4,1
 11  5.1,3.7,1.5,0.4,0
 12  5.2,2.7,3.9,1.4,1
 13  6.9,3.1,4.9,1.5,1
 14  5.8,4.0,1.2,0.2,0
 15  5.4,3.9,1.7,0.4,0
 16  7.7,3.8,6.7,2.2,2
 17  6.3,3.3,4.7,1.6,1
 18  6.8,3.2,5.9,2.3,2
 19  7.6,3.0,6.6,2.1,2
 20  6.4,3.2,5.3,2.3,2
 21  5.7,4.4,1.5,0.4,0
 22  6.7,3.3,5.7,2.1,2
 23  6.4,2.8,5.6,2.1,2
 24  5.4,3.9,1.3,0.4,0
 25  6.1,2.6,5.6,1.4,2
 26  7.2,3.0,5.8,1.6,2
 27  5.2,3.5,1.5,0.2,0
 28  5.8,2.6,4.0,1.2,1
 29  5.9,3.0,5.1,1.8,2
 30  5.4,3.0,4.5,1.5,1
 31  6.7,3.0,5.0,1.7,1
 32  6.3,2.3,4.4,1.3,1
 33  5.1,2.5,3.0,1.1,1
 34  6.4,3.2,4.5,1.5,1
 35  6.8,3.0,5.5,2.1,2
 36  6.2,2.8,4.8,1.8,2
 37  6.9,3.2,5.7,2.3,2
 38  6.5,3.2,5.1,2.0,2
 39  5.8,2.8,5.1,2.4,2
 40  5.1,3.8,1.5,0.3,0
 41  4.8,3.0,1.4,0.3,0
 42  7.9,3.8,6.4,2.0,2
 43  5.8,2.7,5.1,1.9,2
 44  6.7,3.0,5.2,2.3,2
 45  5.1,3.8,1.9,0.4,0
 46  4.7,3.2,1.6,0.2,0
 47  6.0,2.2,5.0,1.5,2
 48  4.8,3.4,1.6,0.2,0
 49  7.7,2.6,6.9,2.3,2
 50  4.6,3.6,1.0,0.2,0
 51  7.2,3.2,6.0,1.8,2
 52  5.0,3.3,1.4,0.2,0
 53  6.6,3.0,4.4,1.4,1
 54  6.1,2.8,4.0,1.3,1
 55  5.0,3.2,1.2,0.2,0
 56  7.0,3.2,4.7,1.4,1
 57  6.0,3.0,4.8,1.8,2
 58  7.4,2.8,6.1,1.9,2
 59  5.8,2.7,5.1,1.9,2
 60  6.2,3.4,5.4,2.3,2
 61  5.0,2.0,3.5,1.0,1
 62  5.6,2.5,3.9,1.1,1
 63  6.7,3.1,5.6,2.4,2
 64  6.3,2.5,5.0,1.9,2
 65  6.4,3.1,5.5,1.8,2
 66  6.2,2.2,4.5,1.5,1
 67  7.3,2.9,6.3,1.8,2
 68  4.4,3.0,1.3,0.2,0
 69  7.2,3.6,6.1,2.5,2
 70  6.5,3.0,5.5,1.8,2
 71  5.0,3.4,1.5,0.2,0
 72  4.7,3.2,1.3,0.2,0
 73  6.6,2.9,4.6,1.3,1
 74  5.5,3.5,1.3,0.2,0
 75  7.7,3.0,6.1,2.3,2
 76  6.1,3.0,4.9,1.8,2
 77  4.9,3.1,1.5,0.1,0
 78  5.5,2.4,3.8,1.1,1
 79  5.7,2.9,4.2,1.3,1
 80  6.0,2.9,4.5,1.5,1
 81  6.4,2.7,5.3,1.9,2
 82  5.4,3.7,1.5,0.2,0
 83  6.1,2.9,4.7,1.4,1
 84  6.5,2.8,4.6,1.5,1
 85  5.6,2.7,4.2,1.3,1
 86  6.3,3.4,5.6,2.4,2
 87  4.9,3.1,1.5,0.1,0
 88  6.8,2.8,4.8,1.4,1
 89  5.7,2.8,4.5,1.3,1
 90  6.0,2.7,5.1,1.6,1
 91  5.0,3.5,1.3,0.3,0
 92  6.5,3.0,5.2,2.0,2
 93  6.1,2.8,4.7,1.2,1
 94  5.1,3.5,1.4,0.3,0
 95  4.6,3.1,1.5,0.2,0
 96  6.5,3.0,5.8,2.2,2
 97  4.6,3.4,1.4,0.3,0
 98  4.6,3.2,1.4,0.2,0
 99  7.7,2.8,6.7,2.0,2
100  5.9,3.2,4.8,1.8,1
101  5.1,3.8,1.6,0.2,0
102  4.9,3.0,1.4,0.2,0
103  4.9,2.4,3.3,1.0,1
104  4.5,2.3,1.3,0.3,0
105  5.8,2.7,4.1,1.0,1
106  5.0,3.4,1.6,0.4,0
107  5.2,3.4,1.4,0.2,0
108  5.3,3.7,1.5,0.2,0
109  5.0,3.6,1.4,0.2,0
110  5.6,2.9,3.6,1.3,1
111  4.8,3.1,1.6,0.2,0
112  6.3,2.7,4.9,1.8,2
113  5.7,2.8,4.1,1.3,1
114  5.0,3.0,1.6,0.2,0
115  6.3,3.3,6.0,2.5,2
116  5.0,3.5,1.6,0.6,0
117  5.5,2.6,4.4,1.2,1
118  5.7,3.0,4.2,1.2,1
119  4.4,2.9,1.4,0.2,0
120  4.8,3.0,1.4,0.1,0
121  5.5,2.4,3.7,1.0,1