public_praise_prediction_yunyi | 2018云移杯景区口碑评价分值预测 7/1186

 by   cnlinxi Python Version: Current License: No License

kandi X-RAY | public_praise_prediction_yunyi Summary

kandi X-RAY | public_praise_prediction_yunyi Summary

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

2018云移杯- 景区口碑评价分值预测  7/1186 “云南我来了”队伍.
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            kandi-support Support

              public_praise_prediction_yunyi has a low active ecosystem.
              It has 8 star(s) with 4 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              public_praise_prediction_yunyi has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of public_praise_prediction_yunyi is current.

            kandi-Quality Quality

              public_praise_prediction_yunyi has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              public_praise_prediction_yunyi 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

              public_praise_prediction_yunyi releases are not available. You will need to build from source code and install.
              public_praise_prediction_yunyi 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 public_praise_prediction_yunyi and discovered the below as its top functions. This is intended to give you an instant insight into public_praise_prediction_yunyi implemented functionality, and help decide if they suit your requirements.
            • Main function
            • Compute the SVM using SVC
            • Extract the text from the dataframe
            • Store test results
            • Context manager for timing information
            • Create a pipeline from a field
            • Train Doc2Vec
            • Preprocess test data
            • Retrieve training and test scores
            • Split the discussion
            • Estimate predictions for training data
            • Extract keywords from a list of sentences
            • Mean squared error
            • Wrapper function for SVC
            • A context manager
            • Preprocess the text dataframe
            • Creates a pipeline from a field
            • Evaluate mean squared error
            Get all kandi verified functions for this library.

            public_praise_prediction_yunyi Key Features

            No Key Features are available at this moment for public_praise_prediction_yunyi.

            public_praise_prediction_yunyi Examples and Code Snippets

            No Code Snippets are available at this moment for public_praise_prediction_yunyi.

            Community Discussions

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

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

            Vulnerabilities

            No vulnerabilities reported

            Install public_praise_prediction_yunyi

            You can download it from GitHub.
            You can use public_praise_prediction_yunyi 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/cnlinxi/public_praise_prediction_yunyi.git

          • CLI

            gh repo clone cnlinxi/public_praise_prediction_yunyi

          • sshUrl

            git@github.com:cnlinxi/public_praise_prediction_yunyi.git

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