RapidOOO | Android POJO Converter : Generate scalable | Data Labeling library

by wangjiegulu Java Version: Current License: Apache-2.0

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

kandi X-RAY | RapidOOO Summary

RapidOOO is a Java library typically used in Artificial Intelligence, Data Labeling applications. RapidOOO 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, Maven.

Android POJO Converter:Generate scalable and bindable domain objects java class file automatically in compile time.

Support

Quality

Security

License

Reuse

Support

RapidOOO has a low active ecosystem.

It has 11 star(s) with 3 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. On average issues are closed in 743 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of RapidOOO is current.

Quality

RapidOOO has 0 bugs and 0 code smells.

Security

RapidOOO has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

RapidOOO code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

RapidOOO 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

RapidOOO releases are not available. You will need to build from source code and install.

Deployable package is available in Maven.

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

Installation instructions are not available. Examples and code snippets are available.

RapidOOO saves you 2693 person hours of effort in developing the same functionality from scratch.

It has 5838 lines of code, 586 functions and 129 files.

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

Top functions reviewed by kandi - BETA

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

Process OOO annotations
Prepare OO conversion entry
Find out the conversion method
Parse mode
Writes the object s attributes to the Parcelable
Writes the object to the Parcel object
Invoked when the activity has been created
Request a PetBO
Init the class
Returns true if the given field should be included
Builds a statement for a given OO conversion entry
Creates a method to serialize the request
Get class owner class name
Generate the required serializable interfaces
Generates the create method
Generates a method from an OO entry
Build statement statement
Write the current message to the Parcelable
Reads the map size and writes it to the method builder
Creates from an OO entry
Writes the entire map entry to the destination
Deeply compare two lists
Get lazy video playback
Get VideoPlayer Method
Converts the gender of the userVO to the inverse of the other user
Builds the appropriate statement for the given object

Get all kandi verified functions for this library.

RapidOOO Key Features

No Key Features are available at this moment for RapidOOO.

RapidOOO Examples and Code Snippets

No Code Snippets are available at this moment for RapidOOO.

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

Vulnerabilities

No vulnerabilities reported

Install RapidOOO

You can download it from GitHub, Maven.
You can use RapidOOO 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 RapidOOO 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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