IJCAI-2018 | IJCAI-2018搜索广告转化预测

by sunwantong Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | IJCAI-2018 Summary

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

IJCAI-2018

Support

Quality

Security

License

Reuse

Support

IJCAI-2018 has a low active ecosystem.

It has 4 star(s) with 1 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

IJCAI-2018 has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of IJCAI-2018 is current.

Quality

IJCAI-2018 has no bugs reported.

Security

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

License

IJCAI-2018 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

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

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

Extract train feature
Bayesian smoothing
Perform fixed point iteration
Update self alpha and beta
This function is used for the main function of day 31
Calculate the count for each feature
Extract validate features
Get validation label
Extract test features
Get test label
Draw the round
Compute the result of a gene result
Split train test test
Merge two datasets
Return the cosine between two vectors
Fuse model
Load csv data from csv
Combine logistic regression
Linear regression
Get bak model data
Cross validation
Demo the xgb model
Load data from one example
Main function of day06
Day week count
Process train and test sets

Get all kandi verified functions for this library.

IJCAI-2018 Key Features

No Key Features are available at this moment for IJCAI-2018.

IJCAI-2018 Examples and Code Snippets

No Code Snippets are available at this moment for IJCAI-2018.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install IJCAI-2018

You can download it from GitHub.
You can use IJCAI-2018 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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