2018_Analysys_2nd_Algorithm_Competition | 2018第二届易观算法大赛

by analysys Python Version: Current License: No License

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kandi X-RAY | 2018_Analysys_2nd_Algorithm_Competition Summary

2018_Analysys_2nd_Algorithm_Competition is a Python library. 2018_Analysys_2nd_Algorithm_Competition has no bugs, it has no vulnerabilities and it has low support. However 2018_Analysys_2nd_Algorithm_Competition build file is not available. You can download it from GitHub.

2018第二届易观算法大赛

Support

Quality

Security

License

Reuse

Support

2018_Analysys_2nd_Algorithm_Competition has a low active ecosystem.

It has 83 star(s) with 44 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

2018_Analysys_2nd_Algorithm_Competition has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of 2018_Analysys_2nd_Algorithm_Competition is current.

Quality

2018_Analysys_2nd_Algorithm_Competition has no bugs reported.

Security

2018_Analysys_2nd_Algorithm_Competition has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

2018_Analysys_2nd_Algorithm_Competition 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

2018_Analysys_2nd_Algorithm_Competition releases are not available. You will need to build from source code and install.

2018_Analysys_2nd_Algorithm_Competition 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 2018_Analysys_2nd_Algorithm_Competition and discovered the below as its top functions. This is intended to give you an instant insight into 2018_Analysys_2nd_Algorithm_Competition implemented functionality, and help decide if they suit your requirements.

Train dnn model
Read the results of the ensemble
Ensemble features from other models
Retrieve the feature label for a given version
Generate LGBM classification
Print the import list
Returns an XGBClassifier
Summarize summary of a single file
Get the data type for a given column
Aggregate the app - type data
Return a new GPClassifier
Get start end time gap
Extract features from a list of packages
Calculate the weighted sum
Calculate summary for a single file
Read the result for the ensemble
Get the app type with k nearest neighbors
Calculate the weighted average of words
Stats of device s active time
DataFrame for each device brand
Generate a LSTM model
Summarize a daily summary file
1D convolutional convolution layer
Train the LSTM model
Generate the age convolutional model
Performs a stratified training
Extract user behaviour features from start_close
Pad word2Vec

Get all kandi verified functions for this library.

2018_Analysys_2nd_Algorithm_Competition Key Features

No Key Features are available at this moment for 2018_Analysys_2nd_Algorithm_Competition.

2018_Analysys_2nd_Algorithm_Competition Examples and Code Snippets

No Code Snippets are available at this moment for 2018_Analysys_2nd_Algorithm_Competition.

Community Discussions

No Community Discussions are available at this moment for 2018_Analysys_2nd_Algorithm_Competition.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install 2018_Analysys_2nd_Algorithm_Competition

You can download it from GitHub.
You can use 2018_Analysys_2nd_Algorithm_Competition 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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