IPredict | Sequence Prediction Framework | Machine Learning library

 by   tedgueniche Java Version: Current License: MIT

kandi X-RAY | IPredict Summary

kandi X-RAY | IPredict Summary

IPredict is a Java library typically used in Retail, Artificial Intelligence, Machine Learning applications. IPredict has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However IPredict build file is not available. You can download it from GitHub.

Sequence prediction consists in predicting the next item(s) of a sequence of items, given a set of training sequences and a finite alphabet of items (symbols). This task has numerous applications such as web page prefetching, product recommendation, weather forecasting and stock market prediction.
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            kandi-support Support

              IPredict has a low active ecosystem.
              It has 37 star(s) with 17 fork(s). There are 9 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 4 open issues and 3 have been closed. On average issues are closed in 10 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of IPredict is current.

            kandi-Quality Quality

              IPredict has 0 bugs and 0 code smells.

            kandi-Security Security

              IPredict has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              IPredict code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              IPredict is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              IPredict releases are not available. You will need to build from source code and install.
              IPredict has no build file. You will be need to create the build yourself to build the component from source.
              IPredict saves you 1863 person hours of effort in developing the same functionality from scratch.
              It has 4110 lines of code, 324 functions and 57 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed IPredict and discovered the below as its top functions. This is intended to give you an instant insight into IPredict implemented functionality, and help decide if they suit your requirements.
            • The main method for testing
            • Trains the state associated with the training sequence
            • Predicts a sequence with the specified order
            • Returns the highest transition state
            • Main method
            • Gets the frequent itemsets in the sequence
            • Trains training sequence
            • Collapse multiple branches
            • Main method for testing
            • Trains the LZNode training sequence
            • Main test program
            • Main program
            • The main entry point
            • Prints the table
            • Starts the experiment
            • Returns a JSON representation of the statistics
            • Apply the parameters
            • Apply the parameters
            • Gets the frequent itemsets in the given sequence
            • Main program
            • Trains the training sequence
            • Trains predictions from the training dataset
            • Test program
            • Builds a prediction from the given sequence
            • Predict the next item in the given sequence
            • Make the next item in the given sequence
            Get all kandi verified functions for this library.

            IPredict Key Features

            No Key Features are available at this moment for IPredict.

            IPredict Examples and Code Snippets

            No Code Snippets are available at this moment for IPredict.

            Community Discussions

            QUESTION

            Bot is not working fine due luis api exception error
            Asked 2020-Jan-28 at 08:17

            I have a bot made in framework v4 using c#.it is using luis in it. It was working fine before but now it is giving error like Sorry, it looks like something went wrong: Operation returned an invalid status code ‘Forbidden’ It is issue related with luis. Plez any can help me. I am also attaching the trace coming in emulator

            ...

            ANSWER

            Answered 2020-Jan-28 at 08:17

            It sounds like something's wrong with your LUIS AppId or Subscription Key. You need to get these from the Manage section in LUIS, as shown below. Where you use these exactly, depends on how you configure your LUIS services in your Bot.

            Source https://stackoverflow.com/questions/59943925

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

            Vulnerabilities

            No vulnerabilities reported

            Install IPredict

            You can download it from GitHub.
            You can use IPredict 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 IPredict 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/tedgueniche/IPredict.git

          • CLI

            gh repo clone tedgueniche/IPredict

          • sshUrl

            git@github.com:tedgueniche/IPredict.git

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