tffm

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When running tffm on tensorflow 1.7, the following warning appears: `WARNING:tensorflow:Variable += will be deprecated. Use variable.assign_add if you want assignment to the variable value or 'x = x +...

martincousi

Running tffm on a single core

1

I need to run multiple `TFFMRegressor` objects in `joblib` `Parallel`. To do so, I passed the following parameter: ``` session_config=tf.ConfigProto(intra_op_parallelism_threads=1, inter_op_parallelism_threads=1, allow_soft_placement=True, device_count = {'CPU': 1, 'GPU': 0}) ``` However,...

martincousi

fix: exception is not imported sklearn.exceptions.NotFittedError

4

Currently the error is "NameError: name 'sklearn' is not defined" which is not the intended one as sklearn is not in scope. So adding a import statement.

kman0

Scaling benchmarks

3

I've been looking at Spark implementations of Factorization Machines. I found that none of the existing open source implementations scale to a dataset with millions of features and hundreds of...

benmccann

About multi-class supported?

1

@geffy frist thank you for provide us this good tool,but in fact sometime there some question of multi-class .Could you give some advises.

Darinyazanr

libfm benchmark

3

Need to compare tffm and libfm in terms of speed and quality.

geffy

Multi-GPU support

5

Hi, I just wondered how FM can be parallelized effectively between multiple GPUs. I'm a bit familiar with TF and not really with FMs. If you provide me with ideas...

arassadin

Automatic checkpointing

1

Hi, Would it be possible to automatically save the "best" model run in terms of global loss? Maybe in a way similar to how https://keras.io/callbacks/#modelcheckpoint works? I had different runs...

Zahlii

Hi, thank you for making this great package! I just noticed this example for `get_shorter_decompositions` function in `util.py`: ``` Example ------- decompositions, counts = get_shorter_decompositions([1, 2, 3]) decompositions == [(1,...

yvesx