Module: aprender::pipeline

Public module of the aprender-core crate.

Source

crates/aprender-core/src/pipeline.rs

Example

use aprender::pipeline::Pipeline;
// See `cargo doc -p aprender-core --open` for full API reference.

Module summary

aprender::pipeline provides Pipeline, which chains transformers and ends in a single estimator. It mirrors sklearn.pipeline.Pipeline:

• fit — each transformer is fit, then applied, in sequence; the final estimator is fit on the fully transformed data.
• predict / score — the same transformer chain is applied in transform-only mode before delegating to the estimator.

That asymmetry is the point of the type. Fitting a scaler on data that has already been through the test-time path, or scoring against a scaler fit on the scoring data, is the classic leakage bug; routing both through one object makes it hard to write by accident.

Steps use trait objects (Box<dyn Transformer> and Box<dyn Estimator>) so a pipeline can be heterogeneous — for example StandardScaler followed by LogisticRegression.

See also

• aprender::traits — the Transformer and Estimator traits a step must implement
• aprender::preprocessing — the transformers most commonly used as steps