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SurvivalLocationScaleInputs

gam_inference::model_payload_builders

Struct SurvivalLocationScaleInputs 

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pub struct SurvivalLocationScaleInputs {
Show 25 fields
    pub formula: String,
    pub data_schema: DataSchema,
    pub fit_result: UnifiedFitResult,
    pub fitted_inverse_link: InverseLink,
    pub linkwiggle_degree: Option<usize>,
    pub linkwiggle_knots: Option<Vec<f64>>,
    pub beta_link_wiggle: Option<Vec<f64>>,
    pub baseline_timewiggle: Option<SurvivalTimewiggle>,
    pub survival_entry: Option<String>,
    pub survival_exit: String,
    pub survival_event: String,
    pub survivalspec: String,
    pub baseline_cfg: SurvivalBaselineConfig,
    pub time_basis: SavedSurvivalTimeBasis,
    pub ridge_lambda: f64,
    pub survival_likelihood_label: String,
    pub time_parameterization: SurvivalLocationScaleTimeParameterization,
    pub threshold_time_basis: Option<SurvivalCovariateTimeBasis>,
    pub log_sigma_time_basis: Option<SurvivalCovariateTimeBasis>,
    pub formula_noise: Option<String>,
    pub survival_beta_time: Vec<f64>,
    pub survival_beta_threshold: Vec<f64>,
    pub survival_beta_log_sigma: Vec<f64>,
    pub resolved_thresholdspec: TermCollectionSpec,
    pub resolved_log_sigmaspec: TermCollectionSpec,

}
Expand description

Source-agnostic semantic content of a survival location-scale (Royston-Parmar with a learned residual link) saved model. Centralizing fixes the drift where CLI and FFI disagreed on formula_noise, baseline_timewiggle_*, and exact location-scale replay topology.

Fields§

§formula: String§data_schema: DataSchema§fit_result: UnifiedFitResult

Fit result with the fitted inverse-link state and link-wiggle artifacts already applied by the caller.

§fitted_inverse_link: InverseLink§linkwiggle_degree: Option<usize>§linkwiggle_knots: Option<Vec<f64>>§beta_link_wiggle: Option<Vec<f64>>§baseline_timewiggle: Option<SurvivalTimewiggle>§survival_entry: Option<String>§survival_exit: String§survival_event: String§survivalspec: String§baseline_cfg: SurvivalBaselineConfig§time_basis: SavedSurvivalTimeBasis§ridge_lambda: f64§survival_likelihood_label: String§time_parameterization: SurvivalLocationScaleTimeParameterization§threshold_time_basis: Option<SurvivalCovariateTimeBasis>§log_sigma_time_basis: Option<SurvivalCovariateTimeBasis>§formula_noise: Option<String>§survival_beta_time: Vec<f64>§survival_beta_threshold: Vec<f64>§survival_beta_log_sigma: Vec<f64>§resolved_thresholdspec: TermCollectionSpec§resolved_log_sigmaspec: TermCollectionSpec

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