DCFA | Dynamic Collaborative Filtering with Aesthetic Feature | Machine Learning library

 by   Wenhui-Yu Python Version: Current License: No License

kandi X-RAY | DCFA Summary

kandi X-RAY | DCFA Summary

DCFA is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning applications. DCFA has no bugs, it has no vulnerabilities and it has low support. However DCFA build file is not available. You can download it from GitHub.

These are the codes for paper Aesthetic-based Clothing Recommedation We also provide a small dataset filtered for Amazon dataset (Jewelry and watches) to run the codes. There are 15924 users, 3607 items, and 37314 purchases in the dataset. url for dataset:
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              DCFA has a low active ecosystem.
              It has 9 star(s) with 4 fork(s). There are no watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              DCFA has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of DCFA is current.

            kandi-Quality Quality

              DCFA has no bugs reported.

            kandi-Security Security

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

            kandi-License License

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

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              DCFA releases are not available. You will need to build from source code and install.
              DCFA has no build file. You will be need to create the build yourself to build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed DCFA and discovered the below as its top functions. This is intended to give you an instant insight into DCFA implemented functionality, and help decide if they suit your requirements.
            • Train the DCFA .
            • Test the DCFA .
            • save the model to a workbook
            • Reads the train and test data files
            • Read a feature .
            • Print the model parameters .
            • Read train_record .
            • Saves the results .
            • Evaluate an NDCG function .
            • Return the order of a list .
            Get all kandi verified functions for this library.

            DCFA Key Features

            No Key Features are available at this moment for DCFA.

            DCFA Examples and Code Snippets

            No Code Snippets are available at this moment for DCFA.

            Community Discussions

            QUESTION

            Generate Powerset of length 4 using Java-8 is possible
            Asked 2020-Jan-21 at 10:20

            I have been able to generate the all permutation of length 4 from a string, the problem that I am facing now is that all the permutation have duplicates like {abcd) ,{adbc},{bcda}...which are all same as from Mathematical definition of set.

            Is there a short version in java-8 where I can get the pure set?

            My code that generated the all permutation:

            ...

            ANSWER

            Answered 2020-Jan-21 at 09:44

            If you want to find the unique words (without considering order of characters, as you mentioned), you can do one additional step after permutation is done.

            Source https://stackoverflow.com/questions/59837964

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

            Vulnerabilities

            No vulnerabilities reported

            Install DCFA

            You can download it from GitHub.
            You can use DCFA like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            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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            gh repo clone Wenhui-Yu/DCFA

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            git@github.com:Wenhui-Yu/DCFA.git

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