explosion/spacy-loggers
📟 Logging utilities for spaCy
This tool helps machine learning engineers and data scientists track the performance of their natural language processing (NLP) models as they train. It takes your spaCy training configuration and model outputs, sending key metrics, system information, and model checkpoints to popular MLOps platforms like Weights & Biases or MLflow. This allows you to monitor training progress, compare experiments, and manage model versions effectively.
Used by 2 other packages. No commits in the last 6 months. Available on PyPI.
Use this if you are training spaCy NLP models and need to systematically log, visualize, and manage your experiment results using established MLOps platforms.
Not ideal if you don't need external logging tools and are comfortable with spaCy's default console output for tracking training.
Stars
12
Forks
17
Language
Python
License
MIT
Category
Last pushed
Nov 03, 2023
Commits (30d)
0
Reverse dependents
2
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/explosion/spacy-loggers"
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