recommenders

recommenders copied to clipboard

BruteForce layer not working after loading a saved model

2

I have trained a deep retrieval model with NCF. Yet when saving the model, I tried both methods of saving and loading by keras and tf. I cannot specify the...

Toby1218

TensorFlow nightly: ValueError: Cannot convert '('c', 'o', 'u', 'n', 't', 'e', 'r')' to a shape. Found invalid entry 'c' of type '<class 'str'>'

1

I follow this guide https://www.tensorflow.org/recommenders and https://colab.research.google.com/github/tensorflow/recommenders/blob/main/docs/examples/quickstart.ipynb#scrollTo=4FyfuZX-gTKS My environment: Windows 11 x64, PyCharm 2024.3.5 (Professional Edition), Jupyter notebook inside PyCharm, TensorFlow nightly, CUDA 12.8 . ```ps1 Microsoft Windows [Version 10.0.26100.3476]...

donhuvy

Bug Fix factorized_top_k.py

1

Bug fix, add_weight expects shape as first argument, and takes 'counter' as shape. Specified "counter" as name argument.

younssas

Currently, on version 0.7.3 `BruteForce` within `layers.factorized_top_k` cannot be built with identifiers of type `tf.string`. Simple example that works with identifiers as `tf.int64` ```python tfrs.layers.factorized_top_k.BruteForce(k=10).index(candidates=tf.random.normal((200,100)), identifiers=tf.constant([_ for _ in range(200)],...

comckay

env: gcc version 9.3.0 Description: Ubuntu 20.04.4 LTS Python 3.10.16 tensorflow 2.9.0 tensorflow-estimator 2.9.0 tensorflow-io 0.37.1 tensorflow-io-gcs-filesystem 0.37.1 tensorflow-recommenders 0.7.3 keras 2.9.0 traceback: File "/data1/env/miniconda3/envs/tf2.18/lib/python3.10/site-packages/keras/optimizers/optimizer_v2/optimizer_v2.py", line 539, in minimize return...

ArachisTong

Update featurization.ipynb

1

Hi Team, I have made few changes regarding keras version update, replaced vocabulary_size() instead of vocab_size() in layers since it has been deprecated, fixed some broken links and typos in...

aniruthraj

Title: ValueError when initializing tfrs.metrics.FactorizedTopK with a candidates dataset.

1

I encountered a ValueError when attempting to initialize tfrs.metrics.FactorizedTopK with a dataset of candidate embeddings in the TensorFlow Recommenders library. It appears that the function is trying to convert a...

malinphy

Revert requirement of tensorflow-macos package for MacOS platforms

1

Hi, In a [previous PR](https://github.com/tensorflow/recommenders/pull/549), `tensorflow-macos` was added as a dependency to enable installing newer versions of `tensorflow-recommenders` on MacOS-machines, as the package requires `tensorflow >= 2.9.0` and at that...

marygiotandoi

I was using the Listwise ranking section in the documentation as reference for a ranking task I'm working on. In the documentation, the training data comprises of a list of...

kushagra-ch

As title. The Colab, Github and Download notebook links are broken on https://www.tensorflow.org/recommenders/examples/listwise_ranking. There was [a fix commit](https://github.com/tensorflow/recommenders/commit/c15e176f42486f51d038c4976c6006e52df5f801) to rename from `list_optimization` to `listwise_ranking`. But it's not published to the...

james47