Downloads:

1,686

Downloads of v 2.0.18:

17

Last Update:

16 Apr 2021

Package Maintainer(s):

Software Author(s):

  • Dmitry Petrov

Tags:

dvc git ml ds cross-platform cli foss

DVC

2.0.18 | Updated: 16 Apr 2021

Downloads:

1,686

Downloads of v 2.0.18:

17

Maintainer(s):

Software Author(s):

  • Dmitry Petrov

Tags:

dvc git ml ds cross-platform cli foss

DVC 2.0.18

All Checks are Passing

2 Passing Test

Validation Testing Passed

Verification Testing Passed

Details

To install DVC, run the following command from the command line or from PowerShell:

>

To upgrade DVC, run the following command from the command line or from PowerShell:

>

To uninstall DVC, run the following command from the command line or from PowerShell:

>

NOTE: This applies to both open source and commercial editions of Chocolatey.

1. Ensure you are set for organizational deployment

Please see the organizational deployment guide

  • Open Source or Commercial:
    • Proxy Repository - Create a proxy nuget repository on Nexus, Artifactory Pro, or a proxy Chocolatey repository on ProGet. Point your upstream to https://community.chocolatey.org/api/v2. Packages cache on first access automatically. Make sure your choco clients are using your proxy repository as a source and NOT the default community repository. See source command for more information.
    • You can also just download the package and push it to a repository Download

3. Enter your internal repository url

(this should look similar to https://community.chocolatey.org/api/v2)

4. Choose your deployment method:


choco upgrade dvc -y --source="'STEP 3 URL'" [other options]

See options you can pass to upgrade.

See best practices for scripting.

Add this to a PowerShell script or use a Batch script with tools and in places where you are calling directly to Chocolatey. If you are integrating, keep in mind enhanced exit codes.

If you do use a PowerShell script, use the following to ensure bad exit codes are shown as failures:


choco upgrade dvc -y --source="'STEP 3 URL'"
$exitCode = $LASTEXITCODE

Write-Verbose "Exit code was $exitCode"
$validExitCodes = @(0, 1605, 1614, 1641, 3010)
if ($validExitCodes -contains $exitCode) {
  Exit 0
}

Exit $exitCode


- name: Ensure dvc installed
  win_chocolatey:
    name: dvc
    state: present
    version: 2.0.18
    source: STEP 3 URL

See docs at https://docs.ansible.com/ansible/latest/modules/win_chocolatey_module.html.


chocolatey_package 'dvc' do
  action    :install
  version  '2.0.18'
  source   'STEP 3 URL'
end

See docs at https://docs.chef.io/resource_chocolatey_package.html.


Chocolatey::Ensure-Package
(
    Name: dvc,
    Version: 2.0.18,
    Source: STEP 3 URL
);

Requires Otter Chocolatey Extension. See docs at https://inedo.com/den/otter/chocolatey.


cChocoPackageInstaller dvc
{
   Name     = 'dvc'
   Ensure   = 'Present'
   Version  = '2.0.18'
   Source   = 'STEP 3 URL'
}

Requires cChoco DSC Resource. See docs at https://github.com/chocolatey/cChoco.


package { 'dvc':
  provider => 'chocolatey',
  ensure   => '2.0.18',
  source   => 'STEP 3 URL',
}

Requires Puppet Chocolatey Provider module. See docs at https://forge.puppet.com/puppetlabs/chocolatey.


salt '*' chocolatey.install dvc version="2.0.18" source="STEP 3 URL"

See docs at https://docs.saltstack.com/en/latest/ref/modules/all/salt.modules.chocolatey.html.

5. If applicable - Chocolatey configuration/installation

See infrastructure management matrix for Chocolatey configuration elements and examples.

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This package was approved as a trusted package on 16 Apr 2021.

Description

Data Version Control or DVC is an open-source tool for data science and machine
learning projects. Key features:

  • Simple command line Git-like experience. Does not require installing and maintaining
    any databases. Does not depend on any proprietary online services.

  • Management and versioning of datasets and machine learning models. Data is saved in
    S3, Google cloud, Azure, Alibaba cloud, SSH server, HDFS, or even local HDD RAID.

  • Makes projects reproducible and shareable; helping to answer questions about how
    a model was built.

  • Helps manage experiments with Git tags/branches and metrics tracking.

DVC aims to replace spreadsheet and document sharing tools (such as Excel or Google Docs)
which are being used frequently as both knowledge repositories and team ledgers.
DVC also replaces both ad-hoc scripts to track, move, and deploy different model versions;
as well as ad-hoc data file suffixes and prefixes.

tools\chocolateyinstall.ps1 
Update-SessionEnvironment

$version = '2.0.18'
$url = "https://github.com/iterative/dvc/archive/$version.zip"
$checksum = '06f078da54506e686effa1d95a9000dbbb39546e8eae41ea34a82e98bf253b5c'
$toolsDir = "$(Split-Path -parent $MyInvocation.MyCommand.Definition)"
$zipFile = "$toolsDir\dvc-$version.zip"
$projDir = "$toolsDir\dvc-$version"

Get-ChocolateyWebFile -PackageName 'dvc' -Url "$url" -FileFullPath "$zipFile" -ChecksumType sha256 -Checksum "$checksum"
Get-ChocolateyUnzip -FileFullPath "$zipFile" -Destination "$toolsDir"
Set-Location -Path "$projDir"
New-Item -Path "dvc\utils" -Name "build.py" -ItemType "file" -Value "PKG = 'choco'"
python -m pip install --upgrade pip
# NOTE: not installing pyarrow, as it doesn't have wheels for Windows Server 2012,
# see https://gist.github.com/choco-bot/d72732943836c947633625b1428a3f2c#file-install-txt-L1292
python -m pip install '.[gs,s3,azure,oss,ssh,gdrive]'
tools\chocolateyuninstall.ps1 
python -m pip uninstall -y dvc

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In cases where actual malware is found, the packages are subject to removal. Software sometimes has false positives. Moderators do not necessarily validate the safety of the underlying software, only that a package retrieves software from the official distribution point and/or validate embedded software against official distribution point (where distribution rights allow redistribution).

Chocolatey Pro provides runtime protection from possible malware.

Version Downloads Last Updated Status
DVC 2.0.18 17 Friday, April 16, 2021 Approved
DVC 2.0.17 41 Saturday, April 3, 2021 Approved
DVC 2.0.16 4 Friday, April 2, 2021 Approved
DVC 2.0.15 8 Wednesday, March 31, 2021 Approved
DVC 2.0.13 4 Tuesday, March 30, 2021 Approved
DVC 2.0.12 6 Saturday, March 27, 2021 Approved
DVC 2.0.7 40 Tuesday, March 23, 2021 Approved
DVC 2.0.6 35 Wednesday, March 17, 2021 Approved
DVC 2.0.5 77 Thursday, March 11, 2021 Approved
DVC 2.0.4 10 Wednesday, March 10, 2021 Approved
Discussion for the DVC Package

Ground Rules:

  • This discussion is only about DVC and the DVC package. If you have feedback for Chocolatey, please contact the Google Group.
  • This discussion will carry over multiple versions. If you have a comment about a particular version, please note that in your comments.
  • The maintainers of this Chocolatey Package will be notified about new comments that are posted to this Disqus thread, however, it is NOT a guarantee that you will get a response. If you do not hear back from the maintainers after posting a message below, please follow up by using the link on the left side of this page or follow this link to contact maintainers. If you still hear nothing back, please follow the package triage process.
  • Tell us what you love about the package or DVC, or tell us what needs improvement.
  • Share your experiences with the package, or extra configuration or gotchas that you've found.
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