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Crate converge_analytics

Crate converge_analytics 

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§converge-analytics

ML and analytics capabilities as Suggestors for the Converge Engine.

Access through FeatureAgent and the training pipeline agents. Register them in a formation for data-driven convergence.

§Usage

use converge_analytics::FeatureAgent;

engine.register_suggestor(FeatureAgent::new(config));

§Available Suggestors

  • FeatureAgent — Polars-based feature extraction
  • InferenceAgent — Burn-based inference over feature vectors
  • Training pipeline suggestors — dataset, validation, feature engineering, training, evaluation, registry, monitoring, deployment

Re-exports§

pub use engine::FeatureAgent;
pub use model::InferenceAgent;
pub use packs::AnomalyDetectionPack;
pub use packs::ClassificationPack;
pub use packs::DescriptiveStatsPack;
pub use packs::ForecastingPack;
pub use packs::RankingPack;
pub use packs::RegressionPack;
pub use packs::SegmentationPack;
pub use packs::SimilarityPack;
pub use packs::TrendDetectionPack;
pub use training::DataValidationAgent;
pub use training::DatasetAgent;
pub use training::DeploymentAgent;
pub use training::FeatureEngineeringAgent;
pub use training::HyperparameterSearchAgent;
pub use training::ModelEvaluationAgent;
pub use training::ModelRegistryAgent;
pub use training::ModelTrainingAgent;
pub use training::MonitoringAgent;
pub use training::SampleInferenceAgent;

Modules§

batch
Batch feature extraction utilities for temporal anomaly detection.
engine
ingest
File ingest: read CSV, Parquet, and Excel into Polars DataFrames.
model
packs
suggestor
training