daguan | 2018达观杯文本智能处理挑战赛:基于ML、DL实现文本分类

 by   yanqiangmiffy Python Version: Current License: No License

kandi X-RAY | daguan Summary

kandi X-RAY | daguan Summary

daguan is a Python library. daguan has no bugs, it has no vulnerabilities and it has low support. However daguan build file is not available. You can download it from GitHub.

2018达观杯文本智能处理挑战赛:基于ML、DL实现文本分类
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    Quality
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            kandi-support Support

              daguan has a low active ecosystem.
              It has 37 star(s) with 21 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 1 open issues and 0 have been closed. On average issues are closed in 591 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of daguan is current.

            kandi-Quality Quality

              daguan has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              daguan 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.

            kandi-Reuse Reuse

              daguan releases are not available. You will need to build from source code and install.
              daguan has no build file. You will be need to create the build yourself to build the component from source.
              daguan saves you 355 person hours of effort in developing the same functionality from scratch.
              It has 849 lines of code, 47 functions and 16 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed daguan and discovered the below as its top functions. This is intended to give you an instant insight into daguan implemented functionality, and help decide if they suit your requirements.
            • Train the model
            • Read from file
            • Evaluate the model
            • Generate a batch of data
            • Feed data into a dictionary
            • Feature encoder
            • Load training dataset
            • Load lr from training data
            • Run test
            • Train classifier
            • Builds a vocabulary
            • Read training data from a file
            • Read test test test ids
            • Predict the classification
            • Read test test ids
            • Predict the model
            • Load the clf model
            • Extract features from training and test set
            • Predict the given message
            • Reads a vocabulary from the given directory
            • Get a dict of categories and id
            • Train TFIDF
            • Compute accuracy and f1 score
            • Submit a classification classifier
            Get all kandi verified functions for this library.

            daguan Key Features

            No Key Features are available at this moment for daguan.

            daguan Examples and Code Snippets

            No Code Snippets are available at this moment for daguan.

            Community Discussions

            No Community Discussions are available at this moment for daguan.Refer to stack overflow page for discussions.

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

            Vulnerabilities

            No vulnerabilities reported

            Install daguan

            You can download it from GitHub.
            You can use daguan 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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            CLONE
          • HTTPS

            https://github.com/yanqiangmiffy/daguan.git

          • CLI

            gh repo clone yanqiangmiffy/daguan

          • sshUrl

            git@github.com:yanqiangmiffy/daguan.git

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