adpredictor | A simple implementation of Microsoft 's AdPredictor

by ajtulloch Python Version: Current License: No License

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

kandi X-RAY | adpredictor Summary

adpredictor is a Python library. adpredictor has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

A simple implementation of Microsoft’s AdPredictor (in Python. See [tullo.ch/articles/online-learning-with-adpredictor/] for a detailed discussion of the algorithm and implementation. [Bitdeli Badge] "Bitdeli Badge").

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Support

adpredictor has a low active ecosystem.

It has 90 star(s) with 31 fork(s). There are 10 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 1 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of adpredictor is current.

Quality

adpredictor has 0 bugs and 0 code smells.

Security

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

adpredictor code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

adpredictor 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

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

Build file is available. You can build the component from source.

It has 314 lines of code, 44 functions and 4 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Run the prediction
Gets the weight for a feature
Calculate the active mean and variance of the features
Train the model
Generate next feature
Return the cardinality of a feature f
Return the label for the given features
Returns the label for the bias of the feature
Returns a list of the feature weights
Deserialize a feature from a string
Construct the bias weights for the given predictor
Serialize a feature

Get all kandi verified functions for this library.

adpredictor Key Features

No Key Features are available at this moment for adpredictor.

adpredictor Examples and Code Snippets

No Code Snippets are available at this moment for adpredictor.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install adpredictor

You can download it from GitHub.
You can use adpredictor 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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