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danaderp
/
ds4se
mirror of https://github.com/WM-SEMERU/ds4se.git

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  1. 

  2. #################################################
    3. 

  3. ### THIS FILE WAS AUTOGENERATED! DO NOT EDIT! ###
    4. 

  4. #################################################
    5. 

  5. # Instead edit ../../sidebar.json
    6. 

  6. entries:
    7. 

  7. - folders:
    8. 

  8.   - folderitems:
    9. 

  9.     - output: web,pdf
    10. 

  10.       title: Overview
    11. 

  11.       url: /
    12. 

  12.     - output: web,pdf
    13. 

  13.       title: Preprocessing
    14. 

  14.       url: /mgmnt.prep.i
    15. 

  15.     - output: web,pdf
    16. 

  16.       title: Exploration of your data
    17. 

  17.       url: /vis
    18. 

  18.     - output: web,pdf
    19. 

  19.       title: Data Management
    20. 

  20.       url: /mgmnt.db.mongo
    21. 

  21.     - output: web,pdf
    22. 

  22.       title: Data Representation
    23. 

  23.       url: /repr.word2vec.eval
    24. 

  24.     - output: web,pdf
    25. 

  25.       title: Inference Causal
    26. 

  26.       url: /inf.causal
    27. 

  27.     - output: web,pdf
    28. 

  28.       title: Software Data Mining (Traceability)
    29. 

  29.       url: /mining.ir.i
    30. 

  30.     - output: web,pdf
    31. 

  31.       title: Traceability Benchmark
    32. 

  32.       url: /benchmark.traceability
    33. 

  33.     - output: web,pdf
    34. 

  34.       title: Training
    35. 

  35.       url: /repr.doc2vec.train
    36. 

  36.     - output: web,pdf
    37. 

  37.       title: Exploration of your data using Information Theory
    38. 

  38.       url: /exp.info
    39. 

  39.     - output: web,pdf
    40. 

  40.       title: Exploration Statistics
    41. 

  41.       url: /desc.metrics.se
    42. 

  42.     - output: web,pdf
    43. 

  43.       title: Conventional Preprocessing
    44. 

  44.       url: /mgmnt.prep.conv
    45. 

  45.     - output: web,pdf
    46. 

  46.       title: BPE Preprocessing
    47. 

  47.       url: /mgmnt.prep.bpe
    48. 

  48.     - output: web,pdf
    49. 

  49.       title: Training Word2Vec for SE
    50. 

  50.       url: /repr.word2vec.train
    51. 

  51.     - output: web,pdf
    52. 

  52.       title: CodeGen Benchmark
    53. 

  53.       url: /benchmark.codegen
    54. 

  54.     - output: web,pdf
    55. 

  55.       title: Inference Interface
    56. 

  56.       url: /inf.i
    57. 

  57.     - output: web,pdf
    58. 

  58.       title: Inference Bayesian
    59. 

  59.       url: /inf.bayesian
    60. 

  60.     - output: web,pdf
    61. 

  61.       title: Corpus Representation
    62. 

  62.       url: /mgmnt.corpus
    63. 

  63.     - output: web,pdf
    64. 

  64.       title: Traceability Preprocessing
    65. 

  65.       url: /mgmnt.prep.traceability
    66. 

  66.     - output: web,pdf
    67. 

  67.       title: Title
    68. 

  68.       url: /mgmnt.prep.nltk
    69. 

  69.     - output: web,pdf
    70. 

  70.       title: Example Blog
    71. 

  71.       url: /aa_blog.example
    72. 

  72.     - output: web,pdf
    73. 

  73.       title: Example Template
    74. 

  74.       url: /af_emp.eval.pp1.rq4
    75. 

  75.     output: web
    76. 

  76.     title: ds4se
    77. 

  77.   output: web
    78. 

  78.   title: Sidebar
    79.
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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!

ds4se 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!

ds4se 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!

ds4se 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!

ds4se is now integrated with Azure Cloud Storage!

Delete Storage Key

Are you sure you want to delete this access key?

No
Yes