This page provides definitions of common Layer terms.
The Discover page allows you to explore entities you have access to, including public and private datasets, models, and projects.
A pre-made Layer environment setup with specific software and hardware combinations. For more information, refer to Fabrics.
Abbreviation for machine learning.
Like DevOps, but for machine learning pipelines.
In the Layer context, a model is always a machine learning model, or ML model.
The Discover > Models tab stores and versions your ML models.
Refers to the process by which Layer trains a model.
Layer projects are basically containers to organize your machine learning project assets. They associate some combination of datasets and models. For more information, refer to What's a Layer project?
A dataset is a structured tabular data that you can build using Layer. Discover > Datasets tab stores all your datasets
web UI, Layer
The online portion of Layer. You can log in to Layer to access it.