Jayes | Jayes - Bayesian Network Library for Java | Machine Learning library

 by   kutschkem Java Version: Current License: No License

kandi X-RAY | Jayes Summary

kandi X-RAY | Jayes Summary

Jayes is a Java library typically used in Artificial Intelligence, Machine Learning applications. Jayes has build file available and it has low support. However Jayes has 7 bugs and it has 6 vulnerabilities. You can download it from GitHub, Maven.

Jayes is a Bayesian Network Library for Java. It has initially been created as my bachelor's thesis and it's goal is to provide highly efficient Bayesian Networks algorithms to the open souce community. In fact, there are already good Bayesian Networks libraries available, but they are either closed-source, GPL-licensed or rather inefficient. For certain projects, these aspects hinder the usage of such libraries. This is why Jayes was created.
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            kandi-support Support

              Jayes has a low active ecosystem.
              It has 48 star(s) with 22 fork(s). There are 11 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              Jayes has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of Jayes is current.

            kandi-Quality Quality

              OutlinedDot
              Jayes has 7 bugs (2 blocker, 0 critical, 2 major, 3 minor) and 133 code smells.

            kandi-Security Security

              Jayes has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              OutlinedDot
              Jayes code analysis shows 6 unresolved vulnerabilities (4 blocker, 0 critical, 2 major, 0 minor).
              There are 3 security hotspots that need review.

            kandi-License License

              Jayes does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

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              Jayes 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.
              It has 6795 lines of code, 551 functions and 86 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed Jayes and discovered the below as its top functions. This is intended to give you an instant insight into Jayes implemented functionality, and help decide if they suit your requirements.
            • Sets the values of the Bayes network
            • Computes the smallest block size to be a power of 2
            • Returns the number of zeros in the given dimension
            • Initialize the block pointers of the network
            • Iterates over the cluster
            • Gets the list of nodes that belong to this node
            • Eliminates a variable
            • Decomposes a BayesNode
            • Reorders the hypothesis node and returns the unordered parent node
            • Clone this float array
            • Get the heuristic value for the given node
            • Creates Bayes network from string
            • Returns a clone of this graph
            • Get the best basis for vectors
            • Sets the values of the specified arrayWrapper to the specified value
            • Get the basis of vectors
            • Copy values from another array to another
            • Normalize the vector
            • Updates the belief probabilities from the sampler
            • Prepares the positions of the factor
            • Converts a factor to a SparseFactor
            • Converts a vector into the temp space
            • Update the belief list
            • Returns the belief values for the given node
            • Converts the vector to a latency space
            • Creates a clone of this array
            Get all kandi verified functions for this library.

            Jayes Key Features

            No Key Features are available at this moment for Jayes.

            Jayes Examples and Code Snippets

            No Code Snippets are available at this moment for Jayes.

            Community Discussions

            Trending Discussions on Jayes

            QUESTION

            python KeyError: 'sapi5'
            Asked 2020-May-17 at 14:47

            this kind of question is previously asked but , it did not work for me, am on python 3.8.1 am getting an error

            o = self.datakey KeyError: 'sapi5'

            and

            During handling of the above exception, another exception occurred: my code :TypeError: item 1 in argtypes passes a union by value, which is unsupported.

            ...

            ANSWER

            Answered 2020-Feb-02 at 19:20

            According to the Using pyttsx3 the version is 2.6 (the title of the page). I had the same problem you are having with version 2.81.

            Try to install version 2.6 using pip install -Iv pyttsx3==2.6 -U it solve the problem for me.

            Source https://stackoverflow.com/questions/60028583

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

            Vulnerabilities

            No vulnerabilities reported

            Install Jayes

            You can download it from GitHub, Maven.
            You can use Jayes 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 Jayes 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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            CLONE
          • HTTPS

            https://github.com/kutschkem/Jayes.git

          • CLI

            gh repo clone kutschkem/Jayes

          • sshUrl

            git@github.com:kutschkem/Jayes.git

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