KumoAnomaly#

class sdm.models.KumoAnomaly#

Bases: Model

The time series anomaly detection foundation model from the “NV-Tesseract-AD: Curriculum-Enhanced Conditional Diffusion for Multivariate Time-Series Anomaly Detection” paper.

Capabilities#

Supported Input Semantic Types

numerical

Supported Target Semantic Types

Supported Prediction Tasks

Multi-Target Support

❌

Context-only Column Support

❌

Related Table Support

❌

Default Recipe#

Recipe(
  features=Identity(),
  target=Identity(),
  output=Identity(),
)