mlflow--mlflow/tests/tensorflow/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