MLDA | MLDA : Multi-Label Dataset Analyzer | Data Labeling library

by i02momuj Java Version: 1.2.4 License: GPL-3.0

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

kandi X-RAY | MLDA Summary

MLDA is a Java library typically used in Artificial Intelligence, Data Labeling applications. MLDA has a Strong Copyleft License and it has low support. However MLDA has 55 bugs, it has 1 vulnerabilities and it build file is not available. You can download it from GitHub.

MLDA is a tool for data exploration and analysis of multi-label and multi-view multi-label datasets. It includes both a GUI tool and a Java API. It provides an easy to use tool for multi-label datasets analysis, including a wide set of characterization metrics, charts for measuring the imbalance and relationship among labels, several methods for data preprocessing and transformation, multi-view multi-label datasets characterization and allowing to load several datasets simultaneously. It has been created under the GPLv3 license [License file]. Last release, version 1.2.4 is available here. The documentation in pdf is available here. Javadoc is also available for GUI tool and API.

Support

Quality

Security

License

Reuse

Support

MLDA has a low active ecosystem.

It has 11 star(s) with 7 fork(s). There are 4 watchers for this library.

It had no major release in the last 12 months.

There are 1 open issues and 0 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of MLDA is 1.2.4

Quality

MLDA has 55 bugs (14 blocker, 8 critical, 17 major, 16 minor) and 5712 code smells.

Security

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

MLDA code analysis shows 1 unresolved vulnerabilities (1 blocker, 0 critical, 0 major, 0 minor).

There are 24 security hotspots that need review.

License

MLDA is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

MLDA releases are available to install and integrate.

MLDA has no build file. You will be need to create the build yourself to build the component from source.

It has 68058 lines of code, 513 functions and 418 files.

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

Top functions reviewed by kandi - BETA

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

Initialize the components
Preprocess a dataset
Menu action
Load the dataset
Convert a mulan dataset to meka dataset
Checks if the given attribute is a label or not
Get the type of an attribute
Extract the attribute name
Get a list of all metric names sorted by type
Calculates the metric value
Gets imbalanced feature instances
Draws the data plot
Set the value of this cell
Print information about labels
Calculate the distribution value
Calculate the value of the metric
Set the help text for MVML table
Generates an array that contains the data points in the pyramid
Calculates the value of the metric
Calculates the entropy value
Calculate the metric value
Generate the data array
Sets the foreground color
Calculate the entropy value
Returns the available metrics
Initialize the default configuration

Get all kandi verified functions for this library.

MLDA Key Features

No Key Features are available at this moment for MLDA.

MLDA Examples and Code Snippets

No Code Snippets are available at this moment for MLDA.

Community Discussions

Trending Discussions on MLDA

How do I create a dummy variable that depends on values in multiple columns?

QUESTION

How do I create a dummy variable that depends on values in multiple columns?

Asked 2020-Nov-28 at 14:29

I am trying to create a treatment dummy for the states whose 1970 legal1820 is different from their legal1820 in 1979. So I need the proper syntax for somethihng like this treat = ifelse((legal1820 when (year == 1970)) != (legal1820 when (year == 1979)) , 1,0)

this is the data I am using

...

ANSWER

Answered 2020-Nov-28 at 14:29

Is this what you are looking for?

Source https://stackoverflow.com/questions/65050542

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

Vulnerabilities

No vulnerabilities reported

Install MLDA

You can download it from GitHub.
You can use MLDA 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 MLDA 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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