public_praise_prediction_yunyi | 2018云移杯景区口碑评价分值预测 7/1186
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.
2018云移杯- 景区口碑评价分值预测 7/1186 “云南我来了”队伍.
Support
Quality
Security
License
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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.
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.
Quality
public_praise_prediction_yunyi has no bugs reported.
Security
public_praise_prediction_yunyi has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
public_praise_prediction_yunyi does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
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.
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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