tffm

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I used sparse style and the following error occurs: `AttributeError Traceback (most recent call last) in ----> 1 model.fit(X_tr, y_tr, show_progress=True) ~\anaconda3\lib\site-packages\tffm\models.py in fit(self, X, y, sample_weight, n_epochs, show_progress) 124...

zenglongjin

ALS / MCME

1

This is not an issue but more of a question. Is it so that tffm supports SGD but not ALS and MCMC algorithms? This was my understanding with a quick...

juhoimmonen

Issue with tensorflow 2.0: module 'tensorflow_core._api.v2.train' has no attribute 'AdamOptimizer'

2

pip install tensorflow==2.0 import numpy as np import tensorflow as tf from tffm import TFFMClassifier gives error: --------------------------------------------------------------------------- AttributeError Traceback (most recent call last) in ----> 1 from tffm import...

hugocool

Problem: NaN or Inf in w[0]. : Tensor had NaN values

4

why no value in the bias tensor?

yy1987oo

How can I verify the output of a row after loading the model into memory ?

1

I want to manually verify the prediction of a particular testing sample.

akshit96

 In base.py, there is a function named **batcher**. You define a variable **upper_bound**, but why not use it to update **ret_y** and **ret_w** ?

SAwxl

Support for Bayesian Personalized Ranking

1

Hi there, I'm thinking of contributing codes for BPR. What is the best way to extend the code to handle this optimization in your opinion?

jerry-rubikloud

How to save a trained model?

6

How can I save a trained tffm for future predictions ? The model object cannot be pickled due to thread.RLock type object and isn't json serializable either.

akshit96

I ran the model on my data and could see huge variations in predictions with respect to previous training on the same data. How can I tackle that so that...

akshit96

do you support spars data format

1

for example this http://srome.github.io/Leveraging-Factorization-Machines-for-Sparse-Data-and-Supervised-Visualization/ gives bid data use can you run code for this data? X_train.shape #(7580, 1048576) where number of features is 1048576

Sandy4321