Roger L. Cauvin

TF-DF Compatibility with Keras 3?

6

According to the [known issues](https://www.tensorflow.org/decision_forests/known_issues), "TF-DF is not compatible with Keras 3 at this time." Are efforts underway to update TF-DF to be compatible with Keras 3?

[Question] Examples of Retrieval and Ranking Models in a Single Sequential Model?

5

Using TensorFlow Recommenders, we often employ a standard process: 1. Retrieve candidates using a retrieval model. 2. "Explode" the retrieval queries and retrieved candidates into query-candidate pairs to be ranked....

[Idea] Learn from Positives and Negatives Using Two Retrieval Models

3

In a recommendation system with retrieval and ranking stages, the retrieval model typically learns only from positive examples in the training dataset. Consequently, it fails to learn which items users...

[Question] Ignore Columns in Deployed Model?

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I want to ignore certain feature columns in the input for both model training and when I invoke the model deployed to an endpoint. I don't want the client of...

Example Using Gemma Pre-trained Embedding?

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The [pre-trained embeddings example using the Universal Sentence Encoder](https://ydf.readthedocs.io/en/latest/tutorial/pretrained_embedding) is very helpful. I'm wondering how to do the same thing, but with a [Gemma model loaded from Keras Hub](https://keras.io/keras_hub/api/models/gemma).

How Do I Track a List of Objects for Export?

4

I define an `EnsembleModel` class that is constructed from a list of other Keras models. ``` class EnsembleModel(keras.Model): def __init__( self, models: Iterable[keras.Model], reduce_fn: Callable = keras.ops.mean, **kwargs): super(EnsembleModel, self).__init__(**kwargs)...