Results for "features"

Designing input features to expose useful structure (e.g., ratios, lags, aggregations), often crucial outside deep learning.

Automatically learning useful internal features (latent variables) that capture salient structure for downstream tasks.

Inferring sensitive features of training data.

Centralized repository for curated features.