DEBD | commonly used datasets as benchmarks for density estimation | Dataset library

 by   arranger1044 Python Version: Current License: No License

kandi X-RAY | DEBD Summary

kandi X-RAY | DEBD Summary

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

A collection of commonly used datasets as benchmarks for density estimation in MaLe
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              DEBD has a low active ecosystem.
              It has 12 star(s) with 7 fork(s). There are 3 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              DEBD has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of DEBD is current.

            kandi-Quality Quality

              DEBD has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              DEBD 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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              DEBD releases are not available. You will need to build from source code and install.
              DEBD 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 DEBD and discovered the below as its top functions. This is intended to give you an instant insight into DEBD implemented functionality, and help decide if they suit your requirements.
            • Shuffle split validation validation
            • Print the split statistics
            • Load train and test validation dataset
            • Convert csv to a numpy array
            • Compress numpy arrays
            • Load train validation dataset
            Get all kandi verified functions for this library.

            DEBD Key Features

            No Key Features are available at this moment for DEBD.

            DEBD Examples and Code Snippets

            No Code Snippets are available at this moment for DEBD.

            Community Discussions

            QUESTION

            How to sort array of multiple object in JavaScript
            Asked 2018-Jul-19 at 10:21

            I have an array of multiple objects, and each object has multiple arrays inside it.

            So I want to sort my array in such a way so that the object which has the highest length will come on the first and then lowest length object in the second and so on.

            Here is the example object which I have.

            ...

            ANSWER

            Answered 2018-Jul-19 at 10:21

            First I have tentatively converted your sample data into valid data. In Javascript, Arrays do not have properties, while Objects do.

            I have also fixed a few other typos and given a better indentation.

            The extra parentheses around objects are just to make 100% sure they are not accidentally misinterpreted as labelled statements, which should be fine since they have multiple properties anyway. I found it useful to tidy the original disorder.

            Below find a snippet to illustrate my solution. Hit run, to see result with comments.

            Source https://stackoverflow.com/questions/51418805

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

            Vulnerabilities

            No vulnerabilities reported

            Install DEBD

            You can download it from GitHub.
            You can use DEBD 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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