NVIDIA-Merlin / NVIDIA-Merlin/Transformers4Rec
Define IncrementalTrainer class
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area/pytorch
- Dominant language
- Python
- Stars
- 1.3k
- Forks
- 165
- Avg merge
- 1m
- Merged PRs (30d)
- 2
Description
Extends Trainer class to support methods needed for incremental training :
- Define incremental_fit_and_evaluate() method which iterates over a pre-defined convention of parquet files.
- Define incremental logging for predictions, metrics and W&B experiments
- Compute average over time (AOT) of ranking metrics
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by locating the existing Trainer class and reviewing how training and evaluation are currently organized. Then define the parquet-file convention for incremental_fit_and_evaluate(), the logging requirements for predictions, metrics, and W&B experiments, and the expected average-over-time calculation for ranking metrics. Done means the incremental workflow supports all three listed capabilities.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- data, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 25/100