common-annotations-api | Jakarta Annotations | Data Labeling library

by jakartaee Java Version: 2.1.1 License: Non-SPDX

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

kandi X-RAY | common-annotations-api Summary

common-annotations-api is a Java library typically used in Artificial Intelligence, Data Labeling applications. common-annotations-api has no bugs, it has no vulnerabilities and it has low support. However common-annotations-api build file is not available and it has a Non-SPDX License. You can download it from GitHub, Maven.

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common-annotations-api has a low active ecosystem.

It has 36 star(s) with 27 fork(s). There are 15 watchers for this library.

It had no major release in the last 6 months.

There are 8 open issues and 42 have been closed. On average issues are closed in 115 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of common-annotations-api is 2.1.1

Quality

common-annotations-api has no bugs reported.

Security

common-annotations-api has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

common-annotations-api has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

common-annotations-api releases are not available. You will need to build from source code and install.

Deployable package is available in Maven.

common-annotations-api has no build file. You will be need to create the build yourself to build the component from source.

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common-annotations-api Key Features

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common-annotations-api Examples and Code Snippets

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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:

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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

Vulnerabilities

No vulnerabilities reported

Install common-annotations-api

You can download it from GitHub, Maven.
You can use common-annotations-api like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the common-annotations-api component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

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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