JFastText | Java interface for fastText | Natural Language Processing library
kandi X-RAY | JFastText Summary
kandi X-RAY | JFastText Summary
JFastText is a Java library typically used in Artificial Intelligence, Natural Language Processing, Bert, Neural Network, Transformer applications. JFastText has no bugs, it has no vulnerabilities, it has build file available and it has low support. However JFastText has a Non-SPDX License. You can download it from GitHub, Maven.
JFastText is a Java wrapper for Facebook’s [fastText] a library for efficient learning of word embeddings and fast sentence classification. The JNI interface is built using [javacpp] The library provides full fastText’s command line interface. It also provides the API for loading trained model from file to do label prediction in memory. Model training and quantization are supported via the command line interface. JFastText is ideal for building fast text classifiers in Java.
JFastText is a Java wrapper for Facebook’s [fastText] a library for efficient learning of word embeddings and fast sentence classification. The JNI interface is built using [javacpp] The library provides full fastText’s command line interface. It also provides the API for loading trained model from file to do label prediction in memory. Model training and quantization are supported via the command line interface. JFastText is ideal for building fast text classifiers in Java.
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JFastText has a low active ecosystem.
It has 213 star(s) with 95 fork(s). There are 21 watchers for this library.
It had no major release in the last 12 months.
There are 40 open issues and 12 have been closed. On average issues are closed in 69 days. There are 5 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of JFastText is 0.5
Quality
JFastText has no bugs reported.
Security
JFastText has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
JFastText 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.
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JFastText releases are available to install and integrate.
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.
Top functions reviewed by kandi - BETA
kandi has reviewed JFastText and discovered the below as its top functions. This is intended to give you an instant insight into JFastText implemented functionality, and help decide if they suit your requirements.
- Main entry point for testing
- Run a command
- Load model from file
- Return a list of probabilities for the given text
- Returns the labels of the feature table
- Convert a stringVector to a list of strings
- Returns the number of labels
- Gets the loss name
- Returns lr
- Gets the lr update rate
- Gets the max n
- Gets the minimum count
- Gets the minn
- Gets the model name
- Get the number of samples in the FSA file
- Returns the number of W coordinates of the surface
- Gets the filename of the retired vectors
- Get the sampling threshold
- Returns the number of ngrams
- Returns a list of the words in the formula
- Unloads the model
- Returns the label of the minimum count
- Main entry point
- Get vector for word
Get all kandi verified functions for this library.
JFastText Key Features
No Key Features are available at this moment for JFastText.
JFastText Examples and Code Snippets
No Code Snippets are available at this moment for JFastText.
Community Discussions
Trending Discussions on JFastText
QUESTION
Failed to write core dump , A fatal error has been detected by the Java Runtime Environment
Asked 2017-Jul-22 at 06:31
I got an error when i used fasttext to get a vector for a word using Jfasttext library in java . the error is
...ANSWER
Answered 2017-May-14 at 21:36The error occurred because you haven't load the model yet.
You can find out how to load the trained model here. There you can also take a look at how to train supervised models or unsupervised models.
The function loadModel() works with all of these models.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install JFastText
You can download it from GitHub, Maven.
You can use JFastText 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 JFastText 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 .
You can use JFastText 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 JFastText 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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