data-registry | Radiant MLHub training data registry | Data Labeling library

by RadiantMLHub Python Version: Current License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | data-registry Summary

data-registry is a Python library typically used in Artificial Intelligence, Data Labeling, Pandas applications. data-registry has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Radiant MLHub training data registry

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Security

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Support

data-registry has a low active ecosystem.

It has 4 star(s) with 4 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 1 have been closed. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of data-registry is current.

Quality

data-registry has no bugs reported.

Security

data-registry has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

data-registry is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

data-registry releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed data-registry and discovered the below as its top functions. This is intended to give you an instant insight into data-registry implemented functionality, and help decide if they suit your requirements.

Validate a bucket region .
Validate the tags
Check if a value is a valid resource
Check if the value is a valid service

Get all kandi verified functions for this library.

data-registry Key Features

No Key Features are available at this moment for data-registry.

data-registry Examples and Code Snippets

No Code Snippets are available at this moment for data-registry.

Community Discussions

Trending Discussions on data-registry

updating data in dvc registry from other projects

QUESTION

updating data in dvc registry from other projects

Asked 2021-Mar-02 at 15:33

I have a couple of projects that are using and updating the same data sources. I recently learned about dvc's data registries, which sound like a great way of versioning data across these different projects (e.g. scrapers, computational pipelines).

I have put all of the relevant data into data-registry and then I imported the relevant files into the scraper project with:

...

ANSWER

Answered 2021-Mar-02 at 15:29

When you import (or add) something into your project, a .dvc file is created with that lists that something (in this case the raw/ dir) as an "output".

DVC doesn't allow overlapping outputs among .dvc files or dvc.yaml stages, meaning that your "menu_items" stage shouldn't write to raw/ since it's already under the control of raw.dvc.

Can you make a separate directory for the pipeline outputs? E.g. use processed/menu_items/restaurant.jsonl

Source https://stackoverflow.com/questions/66409283

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install data-registry

You can download it from GitHub.
You can use data-registry like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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