Evaluation
What is a feature store?
A feature store serves consistent numeric or categorical features to training and to inference, usually for tabular models.
Updated
How it works
- Features are defined once.
- Training and serving read the same definitions.
- The values are typically scalars, not frames.
What it is not
It is not computed columns on images and video, and it is not an embedding index.
feature store: this, and the thing it is confused with
| This | Not this | |
|---|---|---|
| Values | Scalars and categories | Frames and documents |
| Point | Train/serve consistency | Media pipelines |
| Overlap | Both cache derived values | They are the same product |
Where Pixeltable fits
Pixeltable computed columns can feed features, including from media. A feature store such as Feast or Tecton is the tabular product. They answer different queries.
Questions
How does feature store work?
Features are defined once. Training and serving read the same definitions. The values are typically scalars, not frames.
What is feature store often confused with?
It is not computed columns on images and video, and it is not an embedding index.
Next step
Install the Pixeltable skill, or sign up for Cloud and run the same file on a hosted database.