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Example code of ankane/libmf

Informations about the package libmf

LIBMF PHP

LIBMF - large-scale sparse matrix factorization - for PHP

Check out Disco for higher-level collaborative filtering

Build Status

Installation

Run:

Add scripts to composer.json to download the shared library:

And run:

Getting Started

Prep your data in the format rowIndex, columnIndex, value

Create a model

Make predictions

Get the latent factors (these approximate the training matrix)

Get the bias (average of all elements in the training matrix)

Save the model to a file

Load the model from a file

Pass a validation set

Cross-Validation

Perform cross-validation

Specify the number of folds

Parameters

Pass parameters - default values below

Loss Functions

For real-valued matrix factorization

For binary matrix factorization

For one-class matrix factorization

Metrics

Calculate RMSE (for real-valued MF)

Calculate MAE (for real-valued MF)

Calculate generalized KL-divergence (for non-negative real-valued MF)

Calculate logarithmic loss (for binary MF)

Calculate accuracy (for binary MF)

Calculate MPR (for one-class MF)

Calculate AUC (for one-class MF)

Example

Download the MovieLens 100K dataset and use:

Resources

History

View the changelog

Contributing

Everyone is encouraged to help improve this project. Here are a few ways you can help:

To get started with development:

All versions of libmf with dependencies

PHP Build Version
Package Version
Requires php Version >= 8.1
ext-ffi Version >= 8.1
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