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

eugenia.anello
/
anomaly_detection_ecg

Watch 1
Issues 0 Pull Requests 0 Discussions 1

dvc.yaml 704 B
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 
  1. stages:
    2. 

  2.   prepare_data:
    3. 

  3.     cmd: python src/prepare_data.py
    4. 

  4.     outs:
    5. 

  5.     - ecg_data/ecg5000.csv:
    6. 

  6.         persist: true
    7. 

  7.     - ecg_data/X_train.pickle:
    8. 

  8.         persist: true
    9. 

  9.     - ecg_data/y_train.pickle:
    10. 

  10.         persist: true 
    11. 

  11.     - ecg_data/X_test.pickle:
    12. 

  12.         persist: true
    13. 

  13.     - ecg_data/y_test.pickle:
    14. 

  14.         persist: true
    15. 

  15.   anomaly_detection:
    16. 

  16.     cmd: python src/train.py
    17. 

  17.     deps:
    18. 

  18.     - ecg_data/X_train.pickle
    19. 

  19.     - ecg_data/y_train.pickle
    20. 

  20.     - ecg_data/X_test.pickle
    21. 

  21.     - ecg_data/y_test.pickle
    22. 

  22.     - src/parameters.yaml
    23. 

  23.     - src/detect_anomalies.py
    24. 

  24.     - src/train.py
    25. 

  25.     outs:
    26. 

  26.     - Autoencoder/saved_model.pb:
    27. 

  27.         persist: true
    28. 

  28.     metrics:
    29. 

  29.     - metrics.csv:
    30. 

  30.         persist: true
    31.
Prev
Next
Tip!

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

Comments

Write Preview
Loading...
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!

anomaly_detection_ecg is now integrated with AWS S3!

Delete Storage Key

Are you sure you want to delete this access key?

No
Yes
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!

anomaly_detection_ecg is now integrated with Google Cloud 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!

anomaly_detection_ecg is now integrated with Azure Cloud Storage!

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

Bucket name cannot be the same as the repository name. Please change one of them.

Access key (If needed)

Congratulations!

anomaly_detection_ecg is now integrated with your S3 compatible storage!

Delete Storage Key

Are you sure you want to delete this access key?

No
Yes