All Classes and Interfaces
Class
Description
Implementation of ModelHandler for DJL models.
Implementation of
IgniteMl that provides ML inference capabilities for GridGain using direct execution.License wrapper for
IgniteMl.Compute job for batch ML predictions using ML_EMBEDDED executor.
Compute job for simple ML predictions using ML_EMBEDDED executor.
Component that manages the ML inference executor lifecycle.
ConfigurationModule for ML configuration.Configuration schema for ML inference functionality.
Extension for ML configuration schema.
Compute job for simple ML predictions using ML_EMBEDDED executor.
Compute job for SQL-based ML predictions using ML_EMBEDDED executor.
Interface responsible for low-level interaction with machine learning models.
Represents a source from which a model can be loaded.
Enum representing the possible statuses of a model source.
Interface for storing and retrieving model artifacts across different storage systems.
Simplified implementation of ModelStorageProvider for inference-time model access.
Implementation of ModelSource for file-based model storage.
Base Compute job for ML predictions.
Public API threading wrapper for
IgniteMl.Ignite ML facade that sets the security context provided in the constructor to the delegated methods.