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Glossary

This page provides definitions of common Layer terms.

discover

The Discover page allows you to explore entities you have access to, including public and private datasets, models, and projects.

fabric

A pre-made Layer environment setup with specific software and hardware combinations. For more information, refer to Fabrics.

ML

Abbreviation for machine learning.

MLOps

Like DevOps, but for machine learning pipelines.

model

In the Layer context, a model is always a machine learning model, or ML model.

Models tab

The Discover > Models tab stores and versions your ML models.

pipeline

Refers to the process by which Layer trains a model.

project

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?

dataset

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.