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FunctionalLogisticResult

Struct FunctionalLogisticResult 

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pub struct FunctionalLogisticResult {
Show 13 fields pub intercept: f64, pub beta_t: Vec<f64>, pub beta_se: Vec<f64>, pub gamma: Vec<f64>, pub probabilities: Vec<f64>, pub predicted_classes: Vec<u8>, pub ncomp: usize, pub accuracy: f64, pub std_errors: Vec<f64>, pub coefficients: Vec<f64>, pub log_likelihood: f64, pub iterations: usize, pub fpca: FpcaResult,
}
Expand description

Result of functional logistic regression.

Fields§

§intercept: f64

Intercept α

§beta_t: Vec<f64>

Functional coefficient β(t), evaluated on the original grid (length m)

§beta_se: Vec<f64>

Pointwise standard errors of β(t) (length m)

§gamma: Vec<f64>

Scalar coefficients γ (one per scalar covariate)

§probabilities: Vec<f64>

Predicted probabilities P(Y=1) (length n)

§predicted_classes: Vec<u8>

Predicted class labels (0 or 1)

§ncomp: usize

Number of FPC components used

§accuracy: f64

Classification accuracy on training data

§std_errors: Vec<f64>

Standard errors of all coefficients (intercept, FPC scores, scalar covariates)

§coefficients: Vec<f64>

Regression coefficients on (FPC scores, scalar covariates) — internal

§log_likelihood: f64

Log-likelihood at convergence

§iterations: usize

Number of IRLS iterations

§fpca: FpcaResult

FPCA result (for projecting new data)

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