Register
Login
Resources
Docs Blog Datasets Glossary Case Studies Tutorials & Webinars
Product
Data Engine LLMs Platform Enterprise
Pricing Explore
Connect to our Discord channel
Resources  
Docs Blog Datasets Glossary Case Studies Tutorials & Webinars
Explore Pricing
Product  
Data Engine LLMs Platform Enterprise
Connect to Dagshub Discord channel
Register
Login

itzmeakashps
/
Healthy.ai
connected to https://github.com/ItzmeAkash/Healthy.ai.git

Watch 1
Issues 0 Pull Requests 0 Discussions 0

dvc.lock 3.2 KB
Permalink History Raw

You have to be logged in to leave a comment. Sign In
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
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109 
  1. schema: '2.0'
    2. 

  2. stages:
    3. 

  3.   diet_recommendation_data_ingestion:
    4. 

  4.     cmd: python src/Healthyai/pipeline/stage_01_diet_recomd_data_ingestion.py
    5. 

  5.     deps:
    6. 

  6.     - path: config/config.yaml
    7. 

  7.       hash: md5
    8. 

  8.       md5: 223cebfda70d486205e2c8f405c10832
    9. 

  9.       size: 1667
    10. 

  10.     - path: src/Healthyai/pipeline/stage_01_diet_recomd_data_ingestion.py
    11. 

  11.       hash: md5
    12. 

  12.       md5: 6839746d76c59d3d03f96c4d9e0e4c63
    13. 

  13.       size: 1120
    14. 

  14.     outs:
    15. 

  15.     - path: artifacts/diet_recomendation/data_ingestion
    16. 

  16.       hash: md5
    17. 

  17.       md5: ca226e6de3a8b82cccbddae7030c32b3.dir
    18. 

  18.       size: 114699
    19. 

  19.       nfiles: 2
    20. 

  20.   diet_recommendation_data_validation:
    21. 

  21.     cmd: python src/Healthyai/pipeline/stage_02_diet_recomd_data_validation.py
    22. 

  22.     deps:
    23. 

  23.     - path: config/config.yaml
    24. 

  24.       hash: md5
    25. 

  25.       md5: 223cebfda70d486205e2c8f405c10832
    26. 

  26.       size: 1667
    27. 

  27.     - path: schema.yaml
    28. 

  28.       hash: md5
    29. 

  29.       md5: 36fe8e95b316c8cf8f866a7adda91930
    30. 

  30.       size: 539
    31. 

  31.     - path: src/Healthyai/pipeline/stage_02_diet_recomd_data_validation.py
    32. 

  32.       hash: md5
    33. 

  33.       md5: e8a088eb3323f656e4892e323fe8bbc4
    34. 

  34.       size: 1085
    35. 

  35.     outs:
    36. 

  36.     - path: artifacts/diet_recomendation/data_validation
    37. 

  37.       hash: md5
    38. 

  38.       md5: ab1bd14e95c3000aa3add560857c4b3b.dir
    39. 

  39.       size: 24
    40. 

  40.       nfiles: 1
    41. 

  41.   diet_recommendation_model_trainer:
    42. 

  42.     cmd: python src/Healthyai/pipeline/stage_03_diet_recomd_model_trainer.py
    43. 

  43.     deps:
    44. 

  44.     - path: artifacts/diet_recomendation/data_ingestion/diet_recommendation.csv
    45. 

  45.       hash: md5
    46. 

  46.       md5: d151d210d2bcd18057b923ebcba26228
    47. 

  47.       size: 85034
    48. 

  48.     - path: src/Healthyai/pipeline/stage_03_diet_recomd_model_trainer.py
    49. 

  49.       hash: md5
    50. 

  50.       md5: 8034580652df90a09c88b5a6599eabbd
    51. 

  51.       size: 1085
    52. 

  52.     params:
    53. 

  53.       params.yaml:
    54. 

  54.         KMeans:
    55. 

  55.           n_clusters: 8
    56. 

  56.     outs:
    57. 

  57.     - path: artifacts/diet_recomendation/model_trainer
    58. 

  58.       hash: md5
    59. 

  59.       md5: 438569b1e5784e97e21fe259238983e3.dir
    60. 

  60.       size: 3659
    61. 

  61.       nfiles: 1
    62. 

  62.   food_image_data_ingestion:
    63. 

  63.     cmd: python src/Healthyai/pipeline/stage_04_food_classifi_data_ingestion.py
    64. 

  64.     deps:
    65. 

  65.     - path: config/config.yaml
    66. 

  66.       hash: md5
    67. 

  67.       md5: 223cebfda70d486205e2c8f405c10832
    68. 

  68.       size: 1667
    69. 

  69.     - path: src/Healthyai/pipeline/stage_04_food_classifi_data_ingestion.py
    70. 

  70.       hash: md5
    71. 

  71.       md5: cb9fabb70bdcc18799784ae0387f698c
    72. 

  72.       size: 1040
    73. 

  73.     outs:
    74. 

  74.     - path: artifacts/food_image_classification/data_ingestion/food classification
    75. 

  75.       hash: md5
    76. 

  76.       md5: 3fe1fce27e435273ac4103cbe7da92f8.dir
    77. 

  77.       size: 506410479
    78. 

  78.       nfiles: 9901
    79. 

  79.   food_image_prepare_base_model:
    80. 

  80.     cmd: python src/Healthyai/pipeline/stage_05_food_classifi_prebasemodel.py
    81. 

  81.     deps:
    82. 

  82.     - path: config/config.yaml
    83. 

  83.       hash: md5
    84. 

  84.       md5: 223cebfda70d486205e2c8f405c10832
    85. 

  85.       size: 1667
    86. 

  86.     - path: src/Healthyai/pipeline/stage_05_food_classifi_prebasemodel.py
    87. 

  87.       hash: md5
    88. 

  88.       md5: a4c32a956031f7cd31635bfc1a1f78b8
    89. 

  89.       size: 1006
    90. 

  90.     params:
    91. 

  91.       params.yaml:
    92. 

  92.         VGG16:
    93. 

  93.           AUGMENTATION: true
    94. 

  94.           IMAGE_SIZE:
    95. 

  95.           - 224
    96. 

  96.           - 224
    97. 

  97.           - 3
    98. 

  98.           BATCH_SIZE: 16
    99. 

  99.           INCLUDE_TOP: false
    100. 

  100.           EPOCHS: 1
    101. 

  101.           CLASSES: 11
    102. 

  102.           WEIGHTS: imagenet
    103. 

  103.           LEARNING_RATE: 0.01
    104. 

  104.     outs:
    105. 

  105.     - path: artifacts/food_image_classification/prepare_base_model
    106. 

  106.       hash: md5
    107. 

  107.       md5: 4fdff02a9e000fc29cc29cf14459ce2c.dir
    108. 

  108.       size: 118962416
    109. 

  109.       nfiles: 2
    110.
Prev
Next
Tip!

Press p or to see the previous file or, n or to see the next file

Comments

Write Preview
Loading...
Integrate Google Cloud Storage
Use Google Storage
Select bucket
Upload key
Finish

Use Google Cloud Storage!

Browsing data directories saved to Google Cloud Storage is possible with DAGsHub. Let's configure your repository to easily display your data in the context of any commit!

Specify your Google Storage bucket

Service Account Key

Congratulations!

Healthy.ai is now integrated with Google Cloud Storage!

Delete Storage Key

Are you sure you want to delete this access key?

No
Yes
Integrate AWS S3
Use S3 remote
Select bucket
Access key
Finish

Use AWS S3 as storage!

Browsing data directories saved to S3 is possible with DAGsHub. Let's configure your repository to easily display your data in the context of any commit!

Specify your S3 bucket

Access key (If needed)

Congratulations!

Healthy.ai is now integrated with AWS S3!

Delete Storage Key

Are you sure you want to delete this access key?

No
Yes
Integrate S3 compatible storage
Use S3 like remote
Select bucket
Access key
Finish

Use any S3 compatible storage!

Browsing data directories saved to S3 compatible storage is possible with DAGsHub. Let's configure your repository to easily display your data in the context of any commit!

Specify your S3 bucket

Access key (If needed)

Congratulations!

Healthy.ai is now integrated with your S3 compatible storage!

Delete Storage Key

Are you sure you want to delete this access key?

No
Yes
Integrate Azure Cloud Storage
Use Azure Storage
Select bucket
Set key
Finish

Use Azure Cloud Storage!

Browsing data directories saved to Azure Cloud Storage is possible with DAGsHub. Let's configure your repository to easily display your data in the context of any commit!

Specify your Azure Storage bucket

Access key (If needed)

Congratulations!

Healthy.ai is now integrated with Azure Cloud Storage!

Delete Storage Key

Are you sure you want to delete this access key?

No
Yes