Crate kam_ml 

Optional ML scoring via ONNX model.

When an ONNX model and companion model_meta.json are provided, each VariantCall is scored by a gradient-boosted classifier trained on simulated training data. The resulting probability is stored in VariantCall::ml_prob.

Compile with --features ml to enable ONNX inference. Without the feature, MlScorer::load returns an error and MlScorer::score always returns None.

Example

use std::path::Path;
use kam_ml::MlScorer;

let scorer = MlScorer::load(
    Path::new("model.onnx"),
    Path::new("model_meta.json"),
).expect("load model");

Structs

MlScorer

Holds a loaded ONNX session and associated metadata.

ModelMeta

Metadata loaded alongside the ONNX model.