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factorization-machine's Introduction

Factorization Machine

Factorization Machine in tensorflow.
Compatible with python2 and python3.
Tested on:

  • tensorflow v1.4.1 & v1.8.0
  • CPU & GPU
  • py2.7 & py3.6

Model Structure

Model Structure

Example

python train_example.py
python restore_example.py
tensorboard --logdir=tensorboard_log/

Functions

  • FM Core
    train_step(sess, input_x, input_y, lr)
    eval_loss(sess, input_x, input_y)
    eval_metrics(sess, input_x, input_y)
    get_embedding(sess, input_x)
    saver(): saver for model only
    ckpt_saver(): saver for all the variables(including opt etc.)

  • FM Classifier
    predict_proba(sess, input_x)
    eval_auc(sess, input_x, input_y)

  • FM Regressor
    predict(sess, input_x)

Reference:

factorization-machine's People

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