From 2967790c55a4afc3b955a9b3a7d887e9cde1fb6d Mon Sep 17 00:00:00 2001 From: Dmitry Petrov Date: Sun, 3 May 2020 04:32:31 -0700 Subject: [PATCH] Formatting and change github star image --- .../2020-05-04-dvc-3-years-and-1-0-release.md | 104 ++++++++++-------- .../uploads/images/2020-05-04/5k_github.png | Bin 63622 -> 102642 bytes 2 files changed, 59 insertions(+), 45 deletions(-) diff --git a/content/blog/2020-05-04-dvc-3-years-and-1-0-release.md b/content/blog/2020-05-04-dvc-3-years-and-1-0-release.md index 1c70be9e19..42e31f2f56 100644 --- a/content/blog/2020-05-04-dvc-3-years-and-1-0-release.md +++ b/content/blog/2020-05-04-dvc-3-years-and-1-0-release.md @@ -4,19 +4,21 @@ date: 2020-05-04 description: | Today, weโ€™ve got three big things to announce: ๐ŸŽ‰ 3rd-year anniversary of DVC, ๐Ÿš€ DVC 1.0 pre-release is ready and โญ 5000 GitHub starts. + descriptionLong: | Today, weโ€™ve got three big things to announce. - ๐ŸŽ‰ 3rd-year anniversary of DVC - ๐Ÿš€ DVC 1.0 pre-release is ready - โญ DVC has reached 5K GitHub starts (coincidently on the same day) -picture: static/uploads/images/2020-05-04/5k_stars.png -pictureComment: -author: ../authors/dmitry_petrov.md -commentsUrl: https://discuss.dvc.org/t/dvc-3-years-and-1-0-release/ +picture: /static/uploads/images/2020-05-04/5k_stars.png +pictureComment: 5000 GitHub stars +author: dmitry_petrov +commentsUrl: https://discuss.dvc.org/t/april-20-heartbeat/347 tags: - - birthday + - release - users - MLOps + - DataOps - CI/CD --- @@ -24,10 +26,9 @@ tags: 3 years ago on **May 4th, 2017** the first DVC blog post was published [Data Version Control beta release: iterative machine learning](https://blog.dataversioncontrol.com/data-version-control-beta-release-iterative-machine-learning-a7faf7c8be67). -It was the first DVC tutorial and now we make the redirect to the new tutorial +It was the first DVC tutorial and later we made a redirect to the new tutorial page to not to confuse users. - -[The first DVC discussion on Reddit](https://www.reddit.com/r/Python/comments/698ian/dvc_data_scientists_collaboration_and_iterative/) +[The first DVC discussion on Reddit](https://www.reddit.com/r/Python/comments/698ian/dvc_data_scientists_collaboration_and_iterative/). A few days later it was [republished on other sources](https://www.kdnuggets.com/2017/05/data-version-control-iterative-machine-learning.html) @@ -85,35 +86,41 @@ brand new DVC 1.0 is ready for public beta testing. The new DVC is inspired by discussions and contributions from our community - both fresh ideas and bug reports ๐Ÿ˜…. -Here are some of the features weโ€™re excited to be rolling out soon: - -[**Run-cache (a.k.a. build-cache)**](https://github.com/iterative/dvc/issues/1234) -(the issue was created 1.5 years ago). DVC 1.0 has a "long memory" of DVC -commands runs. This means it can identify if a `dvc repro` has already been run -and save compute time by returning the cached result - even if you didn't Git -commit that past run. We added the run-cache with CI/CD systems and other MLOps -automation tools in mind. No more auto-commits needed after `dvc repro` in the -CI/CD system side. - -[\*\*Multi-stage DVC files.](https://github.com/iterative/dvc/issues/1871) -(created a year ago). We redesigned the DVC-metafile format to make saved -pipelines more interpretable and editable. Pipeline stages are now saved in a -single metafile, with all stages stored together instead of in separate files. -We removed checksums from the pipeline metafile, which improves its -human-readability. - -[**Plots.**](https://github.com/iterative/dvc/issues/3409) Countless users asked -us when we'd support metrics visualizations. Now it's here: DVC 1.0 introduces a -metrics file visualization command, `dvc metrics diff`. DVC plots are powered by -the [Vega-Lite](https://vega.github.io/vega-lite/) graphic library. This -function is designed not only for showing visualizations based on the current -state of your project, but it can also combine multiple plots from your Git -history in a single chart so you can compare results across commits. Users can -visualize how, for example, their model accuracy in the latest commit differs -from another commit (or even multiple commits). +Here are the most significant features weโ€™re excited to be rolling out soon: + +### [Run cache](https://github.com/iterative/dvc/issues/1234) + +DVC 1.0 has a "long memory" of DVC commands runs. This means it can identify if +a `dvc repro` has already been run and save compute time by returning the cached +result - even if you didn't Git commit that past run. + +We added the run-cache with CI/CD systems and other MLOps automation tools in +mind. No more auto-commits needed after `dvc repro` in the CI/CD system side. + +### [Multi-stage DVC files](https://github.com/iterative/dvc/issues/1871) + +We redesigned the DVC-metafile format to make saved pipelines more interpretable +and editable. Pipeline stages are now saved in a single metafile, with all +stages stored together instead of in separate files. + +Another significan step was the removed checksums from the pipeline metafile. +This improves its human-readability. + +### [Plots](https://github.com/iterative/dvc/issues/3409) + +Countless users asked us when we'd support metrics visualizations. Now it's +here: DVC 1.0 introduces a metrics file visualization command, +`dvc metrics diff`. + +DVC plots are powered by the [Vega-Lite](https://vega.github.io/vega-lite/) +graphic library. This function is designed not only for showing visualizations +based on the current state of your project, but it can also combine multiple +plots from your Git history in a single chart so you can compare results across +commits. Users can visualize how, for example, their model accuracy in the +latest commit differs from another commit (or even multiple commits). ``` -$ dvc plot diff -d logs.csv HEAD HEAD^ d1e4d848 baseline-march +$ dvc plot diff -d logs.csv HEAD HEAD^ d1e4d848 baseline_march file:///Users/dmitry/src/plot/logs.html $ open logs.html ``` @@ -121,7 +128,7 @@ $ open logs.html ![](/static/uploads/images/2020-05-04/dvc-plot.png) ``` -$ dvc plot diff -d logs.csv HEAD HEAD^ d1e4d848 baseline-march \ +$ dvc plot diff -d logs.csv HEAD HEAD^ d1e4d848 baseline_march \ -x loss --template scatter file:///Users/dmitry/src/plot/logs.html $ open logs.html @@ -129,16 +136,19 @@ $ open logs.html ![](/static/uploads/images/2020-05-04/dvc-plot-scatter.png) -**Data transfer optimizations.** We've done substantial work on optimizing data -management commands, such as `dvc pull \ push \ status -c \ gc -c`. Now, based -on the amount of data, DVC can choose an optimal data remote traversing -strategy. We've introduced mini-indexes to help DVC instantly check data -directories instead of iterating over millions of files. This also speeds up -file adding\removing to large directories. More optimizations are included in -the release based on performance bottlenecks we profiled. +### [Data transfer optimizations](https://github.com/iterative/dvc/issues/3488) -[**Hyperparameter tracking.**(https://github.com/iterative/dvc/issues/3393) This -feature was actually released in the last DVC 0.93 version (see +We've done substantial work on optimizing data management commands, such as +`dvc pull \ push \ status -c \ gc -c`. Now, based on the amount of data, DVC can +choose an optimal data remote traversing strategy. We've introduced mini-indexes +to help DVC instantly check data directories instead of iterating over millions +of files. This also speeds up file adding\removing to large directories. More +optimizations are included in the release based on performance bottlenecks we +profiled. + +### [Hyperparameter tracking](https://github.com/iterative/dvc/issues/3393) + +This feature was actually released in the last DVC 0.93 version (see [params docs](https://dvc.org/doc/command-reference/params). However, it is an important step to support configuration files and ML experiments in a more holistic way. @@ -160,3 +170,7 @@ reached 5000 starts: Thank you again for all DVC contributions, community members, and users. 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