Expand description
ML model specs, analytical training, and inference backends.
Re-exports§
pub use backend::CPUBackend;pub use backend::MLBackend;pub use backend::MLError;pub use backend::MLResult;pub use deep_fusion::AggregationKind as DeepAggKind;pub use deep_fusion::DeepFusionOperator;pub use deep_fusion::Gating;pub use deep_fusion::GlobalPoolMethod;pub use deep_fusion::Layer;pub use deep_fusion::PoolMethod as DeepPoolMethod;pub use model::AggregationSpec;pub use model::DeepLayerSpec;pub use model::DeepModel;pub use model::DirectionSpec;pub use model::GatingSpec;pub use model::PoolKindSpec;pub use model::PoolMethodSpec;pub use model::PredictResult;pub use training::deep_learn;pub use training::DeepLearnOutput;pub use training::LearnOptions;pub use training::TrainingExample;pub use training::TrainingReport;pub use training::TrainingSet;
Modules§
- backend
- deep_
fusion - Multi-layer fusion operator (Section 7, Paper 4).
- model
- Serializable deep-fusion model specs plus CPU inference helpers.
- training