AI-Enthusiast
/
CheXNet
forked from nirbarazida/CheXNet


  
1

	
2

	
3

	
4

	
5

	
6

	
7

	
8

	
9

	
10

	
11

	
12

	
13

	
14

	
15

	
16

	
17

	
18

	
19

	
20

	
21

	
22

	
23

	
24

	
25

	
26

	
27

	
28

	
29

	
30

	
31

	
32

	
33

	
34

	
35

	
36

	
37

	
38

	
39

	
40

	
41

	
42

	
43

	
44

	
45

	
46

	
47

	
48

	
49

	
50

	
51

	
52

	
53

	
            schema: '2.0'
stages:
  modeling:
    cmd: python -m task-3-modeling.src.train
    deps:
    - path: src/const/general_const.py
      md5: 730d05e22f3defa392555d8a311c55a8
      size: 363
    - path: task-2-data-processing/data/processed-data
      md5: 5a2aee9b8951b0d9993ebc9335982ee9.dir
      size: 107673470
      nfiles: 5856
    - path: task-3-modeling/src/const/class_names.txt
      md5: 0029696b605cde6b899390a1104419bd
      size: 16
    - path: task-3-modeling/src/const/modeling_const.py
      md5: eb4fba36c941daf9a5458cb2bacd767a
      size: 587
    - path: task-3-modeling/src/train.py
      md5: 836f480034f17e9ef69b501f0c2312f9
      size: 3641
    outs:
    - path: prod_model
      md5: 6fc4d52cd62fbca5c37b0a3a5dbfbbba.dir
      size: 99815927
      nfiles: 4
    - path: task-3-modeling/model-checkpoint
      md5: 922b7db16fef38811a580b125df0d077.dir
      size: 99816050
      nfiles: 5
    - path: task-4-evaluating/eval/params/params.yml
      md5: a90a55257f10fffd32ea0645ce31f44f
      size: 32
  evaluating:
    cmd: python -m task-4-evaluating.src.evaluation
    deps:
    - path: prod_model
      md5: 6fc4d52cd62fbca5c37b0a3a5dbfbbba.dir
      size: 99815927
      nfiles: 4
    - path: src/const/general_const.py
      md5: 730d05e22f3defa392555d8a311c55a8
      size: 363
    - path: task-4-evaluating/src/const/evaluating_const.py
      md5: bc97cc442ada9f93ab1b7212ed063e89
      size: 290
    - path: task-4-evaluating/src/evaluation.py
      md5: 5027d59bc20658a00cae3eb0e2355932
      size: 1032
    outs:
    - path: task-4-evaluating/eval/metrics/metrics.csv
      md5: 700b690d8dd5df0815d234f7a1120da9
      size: 121