Method fit

crates/openquant/src/fingerprint.rs:42–55

(
        &mut self,
        model: &M,
        x: &[Vec<f64>],
        num_values: usize,
        pairwise_combinations: Option<&[(usize, usize)]>,
    )

//!         for &c in &grid {
//!             x.push(vec![a, b, c]);
//!         }
//!     }
//! }
//!
//! let mut fingerprint = RegressionModelFingerprint::new();
//! fingerprint.fit(&Known, &x, 11, Some(&[(0, 2), (0, 1)]))?;
//! let (linear, non_linear, pairwise) = fingerprint.get_effects()?;
//! let pairwise = pairwise.expect("pairs were requested");
//!
//! // Mean |2 v| over the grid is 12/11.
//! assert!((linear.raw[&0] - 12.0 / 11.0).abs() < 1e-9);
//! assert!(linear.raw[&1] < 1e-9 && non_linear.norm[&1] > 0.999);
//! assert!(linear.raw[&2] < 1e-9 && non_linear.raw[&2] < 1e-9);
//! // The interaction is x0 x2 itself: mean |v w| = (6/11)^2.
//! assert!((pairwise.raw["(0, 2)"] - 36.0 / 121.0).abs() < 1e-9);
//! assert!(pairwise.raw["(0, 1)"] < 1e-9);
//! # Ok(())