DocDex | JSON API & Discord Bot for Javadocs | REST library

 by   PiggyPiglet Java Version: Current License: MIT

kandi X-RAY | DocDex Summary

kandi X-RAY | DocDex Summary

DocDex is a Java library typically used in Web Services, REST, Discord applications. DocDex 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.

Warning! This software is in beta, it is extremely likely there'll be bugs, and some ugly things. Please report bugs, and make suggestions via the issues tab. Documentation Index (DocDex) is a utility API which scans javadocs on the web, caches everything into a mixture of memory, file, and database, then provides a JSON API to easily (and quickly!) access the information.

            kandi-support Support

              DocDex has a low active ecosystem.
              It has 26 star(s) with 6 fork(s). There are 2 watchers for this library.
              It had no major release in the last 6 months.
              There are 10 open issues and 26 have been closed. On average issues are closed in 4 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of DocDex is current.

            kandi-Quality Quality

              DocDex has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              DocDex 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

              DocDex 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.

            Top functions reviewed by kandi - BETA

            kandi has reviewed DocDex and discovered the below as its top functions. This is intended to give you an instant insight into DocDex implemented functionality, and help decide if they suit your requirements.
            • Provides a map of objects indexed by the given javadoc .
            • Get methods .
            • Returns a string representation of an object .
            • Escapes the string so that it can be used as an SQL source .
            • Processes a bot command .
            • Loads from raw server .
            • Determine the distance between two byte arrays .
            • Processes a paginated message .
            • Generic action handler .
            • Downloads a set of URIs .
            Get all kandi verified functions for this library.

            DocDex Key Features

            No Key Features are available at this moment for DocDex.

            DocDex Examples and Code Snippets

            No Code Snippets are available at this moment for DocDex.

            Community Discussions


            CNN converges to same accuracy regardless of hyperparameters, what does this indicate?
            Asked 2017-Sep-20 at 00:19

            I have written tensorflow code based on:


            but using precomputed word embeddings from the GoogleNews word2vec 300 dimension model.

            I created my own data from the UCML News Aggregator Dataset in which I parsed the content of the news articles and have created my own labels.

            Due to the size of the articles I use TF-IDF to filter out the top 120 words per article and embed those into 300 dimensions.

            When I run the CNN I created regardless of the hyper parameters it converges to a small general accuracy, around 38%.

            Hyper parameters changed:

            Various filter sizes:

            I've tried a single filter of 1,2,3 Combinations of filters [3,4,5], [1,3,4]

            Learning Rate:

            I've varied this from very low to very high, very low doesn't converge to 38% but anything between 0.0001 and 0.4 does.

            Batch Size:

            Tried many ranges between 5 and 100.

            Weight and Bias Initialization:

            Set stddev of weights between 0.4 and 0.01. Set bias initial values between 0 and 0.1. Tried using the xavier initializer for the conv2d weights.

            Dataset Size:

            I have only tried on two partial data sets, one with 15 000 training data, and the other on the 5000 test data. In total I have 263 000 data to train on. There is no accuracy difference whether trained and evaluated on the 15 000 training data or by using the 5000 test data as the training data (to save testing time).

            I've run successful classifications on the 15 000 / 5000 split using a feed forward network with a BoW input (93% accurate), TF-IDF with SVM (92%), and TF-IDF with Native Bayes (91.5%). So I don't think it is the data.

            What does this imply? Is the model just a poor model for this task? Is there an error in my work?

            I feel like my do_eval function is incorrect to evaluate the accuracy / loss over an epoch of the data:



            Answered 2017-Sep-20 at 00:19

            Turns out my error was in the creation of the input matrix.


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


            No vulnerabilities reported

            Install DocDex

            You can download it from GitHub.
            You can use DocDex 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 DocDex 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 For Gradle installation, please refer .


            API Routes Index Route Javadocs Route Object Structure Population Web Crawling Running CommandsDiscord Invite Public Instance Commands RunningDevelopmentQuick Links Bot Invite Jenkins Discord Server/Support
            Find more information at:

            Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items

            Find more libraries
          • HTTPS


          • CLI

            gh repo clone PiggyPiglet/DocDex

          • sshUrl


          • Stay Updated

            Subscribe to our newsletter for trending solutions and developer bootcamps

            Agree to Sign up and Terms & Conditions

            Share this Page

            share link

            Explore Related Topics

            Consider Popular REST Libraries


            by public-apis


            by typicode


            by iptv-org


            by tiangolo


            by beego

            Try Top Libraries by PiggyPiglet


            by PiggyPigletJava


            by PiggyPigletJava


            by PiggyPigletPHP


            by PiggyPigletJava


            by PiggyPigletJava