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Merlin Models is a collection of deep learning recommender system model reference implementations

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Fixes # (issue) ### Goals :soccer: ### Implementation Details :construction: ### Testing Details :mag:

### Description The pairwise losses were originally tested with 2D prediction tensors (batch size x # items/classes). For sequential/session-based recommendation, the prediction tensors are 3D (batch size x seq length...

area/session-based

### Goals :soccer: Right now blocks like `InputBlockV2` are implemented as functions and not as classes. This because, as of now, creating it in a sub-classes way adds extra overhead...

enhancement

Relates to #722 (issue) Alternative to #724 ### Goals :soccer: - Support Tensorflow/Keras 2.10 - Improve performance of dataloader by removing redundant calls to dataloader `stop` method ### Implementation Details...

enhancement
chore

Create an example (notebook or python script) including guidelines on how to train transformer-based models with techniques supported in the HuggingFace trainer class, such as Early stopping, fp16, lr scheduler,...

### Description We'd like to make sure it's clear that the negative sampling data augmentation layer is not confused with the samplers used in the prediction blocks. The data augmentation...

chore

### Goals :soccer: This PR introduces a `OutputBlock` which is the equivalent to the `InputBlock`. It loops over all columns in the schema and based on the tags it adds...

enhancement

### Description In the datasets API, we support the item-level preprocessing of three variants of [movielens dataset](https://github.com/NVIDIA-Merlin/models/blob/main/merlin/datasets/entertainment/movielens/dataset.py). The goal of this task is to add a pre-processing function to generate...

enhancement
area/api

### Goals :soccer: Create integration tests for ranking models (based on our research scripts) to check for - **Stability of our API (unit tests)** - by using advanced options (hparams)...

ci
chore

# 🚀 Feature request Would like to understand if there is any plan to implement/integrate model interpretation/explanation techniques like [DeepLIFT](https://arxiv.org/abs/1704.02685) or GradientExplainer from [SHAP](https://github.com/slundberg/shap) into Merlin? SHAP natively supports model...

question
status/needs-triage
P2