auto-labeling-pipeline | doccano auto labeling pipeline helps doccano | Data Labeling library

by doccano Python Version: 0.1.23 License: MIT

X-Ray Key Features Code Snippets(1)Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | auto-labeling-pipeline Summary

auto-labeling-pipeline is a Python library typically used in Artificial Intelligence, Data Labeling, Deep Learning applications. auto-labeling-pipeline has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install auto-labeling-pipeline' or download it from GitHub, PyPI.

Auto labeling pipeline helps doccano to annotate a document automatically. This package is intended to be used from the inside of doccano. You shouldn't use this package directly.

Support

Quality

Security

License

Reuse

Support

auto-labeling-pipeline has a low active ecosystem.

It has 15 star(s) with 4 fork(s). There are 3 watchers for this library.

There were 2 major release(s) in the last 12 months.

There are 1 open issues and 3 have been closed. On average issues are closed in 18 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of auto-labeling-pipeline is 0.1.23

Quality

auto-labeling-pipeline has 0 bugs and 2 code smells.

Security

auto-labeling-pipeline has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

auto-labeling-pipeline code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

auto-labeling-pipeline is licensed under the MIT License. This license is Permissive.

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

Reuse

auto-labeling-pipeline releases are available to install and integrate.

Deployable package is available in PyPI.

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

Installation instructions, examples and code snippets are available.

It has 894 lines of code, 94 functions and 20 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Send a request to the API
Find and replace a value in a dictionary
Register a new option

Get all kandi verified functions for this library.

auto-labeling-pipeline Key Features

No Key Features are available at this moment for auto-labeling-pipeline.

auto-labeling-pipeline Examples and Code Snippets

Auto labeling pipeline,Installation

Python

Lines of Code : 1

License : Permissive (MIT)

Copy

pip install auto-labeling-pipeline

Community Discussions

Trending Discussions on Data Labeling

How can I do this split process in Python?

Replacing a character with a space and dividing the string into two words in R

Azure ML FileDataset registers, but cannot be accessed for Data Labeling project

QUESTION

How can I do this split process in Python?

Asked 2021-Dec-30 at 14:06

I'm trying to make a data labeling in a table, and I need to do it in such a way that, in each row, the index is repeated, however, that in each column there is another Enum class.

What I've done so far is make this representation with the same enumerator class.

A solution using the column separately as a list would also be possible. But what would be the best way to resolve this?

...

ANSWER

Answered 2021-Dec-30 at 13:57

Instead of using Enum you can use a dict mapping. You can avoid loops if you flatten your dataframe:

Source https://stackoverflow.com/questions/70532286

QUESTION

Replacing a character with a space and dividing the string into two words in R

Asked 2020-Nov-18 at 07:32

I have a dataframe that contains a column that includes strings separeted with semi-colons and it is followed by a space. But unfortunately in some of the strings there is a semi-colon that is not followed by a space.

In this case, This is what i'd like to do: If there is a space after the semi-colon we do not need a change. However if there are letters before and after the semi-colon, we should change semi-colon with space

i have this:

...

ANSWER

Answered 2020-Nov-16 at 07:24

Try something like:

Source https://stackoverflow.com/questions/64853962

QUESTION

Azure ML FileDataset registers, but cannot be accessed for Data Labeling project

Asked 2020-Oct-28 at 20:31

Objective: Generate a down-sampled FileDataset using random sampling from a larger FileDataset to be used in a Data Labeling project.

Details: I have a large FileDataset containing millions of images. Each filename contains details about the 'section' it was taken from. A section may contain thousands of images. I want to randomly select a specific number of sections and all the images associated with those sections. Then register the sample as a new dataset.

Please note that the code below is not a direct copy and paste as there are elements such as filepaths and variables that have been renamed for confidentiality reasons.

...

ANSWER

Answered 2020-Oct-27 at 22:39

Is the data behind virtual network by any chance?

Source https://stackoverflow.com/questions/64546521

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