sgdtk | A Java library for Stochastic Gradient Descent

by dpressel Java Version: Current License: Apache-2.0

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

kandi X-RAY | sgdtk Summary

sgdtk is a Java library. sgdtk 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.

A Java library for Stochastic Gradient Descent (SGD)

Support

Quality

Security

License

Reuse

Support

sgdtk has a low active ecosystem.

It has 20 star(s) with 15 fork(s). There are 6 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 1573 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of sgdtk is current.

Quality

sgdtk has no bugs reported.

Security

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

License

sgdtk 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

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

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

Main entry point
Serializes this vector into a byte array
Serializes this sparse vector into an UnsafeMemory
Returns the dimensions of a file
Main entry point for testing
Read the next feature vector from the input stream
Read a configuration from an input stream
Main entry point for the CRF
Creates a joint encoder from the given training file
Loads a model from a stream
Updates the weights of a vector
Predict the given feature vector
Initializes the Disruptor
Save the weight vector
Returns a list of Offsets
Returns the magnitude of the vector
Get the next sequence from the input stream
Get a long array from the buffer
Get a double array from the buffer
Organizes the offsets
Performs a single pass - through training
Convert a map to a feature index
Load a word2vec model from a file
Create a new learner
Trains a single step of the CRF
Computes the u and weights

Get all kandi verified functions for this library.

sgdtk Key Features

No Key Features are available at this moment for sgdtk.

sgdtk Examples and Code Snippets

No Code Snippets are available at this moment for sgdtk.

Community Discussions

No Community Discussions are available at this moment for sgdtk.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install sgdtk

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