FmFM

by VerizonMedia Python Version: Current License: MIT

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

kandi X-RAY | FmFM Summary

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

FmFM

Support

Quality

Security

License

Reuse

Support

FmFM has a low active ecosystem.

It has 8 star(s) with 1 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of FmFM is current.

Quality

FmFM has no bugs reported.

Security

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

License

FmFM is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

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

FmFM has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are available. Examples and code snippets are not available.

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FmFM Key Features

No Key Features are available at this moment for FmFM.

FmFM Examples and Code Snippets

No Code Snippets are available at this moment for FmFM.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install FmFM

First you will need to have TensorFlow (v1.15 with a GPU is preferred) and numpy, pandas, pickle and tqdm installed. You may need to login and download the Criteo and Avazu from their websites respectively. The unzipped raw data files should be placed at folder data/criteo/ and data/avazu/ respectively.