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Releases: iterative/dvc

0.9.6

20 Apr 08:26
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  1. Config schema verification
  2. Clouds in config are replaced with remotes. Introduced special command dvc remote for adding/modifying/deleting remotes. dvc push/pull/fetch/status now accepts -r|--remote argument for specifying the particular remote repository you want to use(use dvc config core.remote myremote to setup default remote repo).
  3. GCP cloud no longer requires ProjectName, as long as your credentials are setup correctly and gsutil works for you.
  4. DVC version is now generated dynamically, depending on whether it is release version or from the git(e.g. dvc 0.9.5+89ed2c.mod).
  5. Fixed automatic dvcfile name generation for dvc run -o directory/.
  6. Both dvcfiles and configs are no longer written empty parameters to.
  7. Test coverage increased to 91%.
  8. Experimental SSH cloud support added.
  9. Cloud drivers now use local state to obtain md5, instead of recomputing it every time.
  10. Introduced local config(.dvc/config.local).
  11. AWS cloud migrated from boto to boto3.
  12. Introduces 'md5' field for dvcfiles, which allows us to detect if dvcfile itself has changed(i.e. cmd).
  13. Non-binary dependencies are now converted to POSIX format(CRLF -> CR) while computing md5, so that dependencies which point to files tracked by git are now compatible on windows and *nix.
  14. Introduced dvc metrics for reading metrics on all branches.

0.9.5

04 Apr 14:58
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Use POSIX path on windows and convert to POSIX for backward compatibility.

0.9.4

03 Apr 18:35
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  1. Fixed bug in data cloud key creation on Windows.
  2. Added dynamic versions(using commit SHA) for dvc built from upstream repo.
  3. Added long package description for pypi.

0.9.3

21 Mar 10:24
af6ac42
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Pypi package fixes.

0.9.0

21 Mar 08:54
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readme: 'dvc repro' -> 'dvc repro model.p'

Beta-release

04 May 08:10
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DVC beta release.

Make your data science projects reproducible and shareable.

Includes:

  • Import files, http links and drupbox links
  • Command reproduction: recursion, force-reproduction
  • Data synchronization: AWS S3 and GCP Storage
  • Data item locks
  • End-to-end machine learning tutorial: stackoverflow tag classification