Struct EmReduceOutput

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pub struct EmReduceOutput {
    pub m_counts: Vec<f32>,
    pub u_counts: Vec<f32>,
    pub total_match: f32,
    pub total_nonmatch: f32,
}

Expand description

Raw M-step counts returned from one reduction pass.

Normalize to get updated Fellegi-Sunter probability tables:

m[f][l] = (m_counts[f*4 + l] + smoothing) / (total_match    + 4*smoothing)
u[f][l] = (u_counts[f*4 + l] + smoothing) / (total_nonmatch + 4*smoothing)

Fields§

§m_counts: Vec<f32>

Unnormalized m-counts: m_counts[f*4 + l] = Σ_pairs P(match) × 1[level==l]. Length is n_fields * 4.

§u_counts: Vec<f32>

Unnormalized u-counts: u_counts[f*4 + l] = Σ_pairs P(nonmatch) × 1[level==l]. Length is n_fields * 4.

§total_match: f32

Σ P(match) across all pairs.

§total_nonmatch: f32

Σ (1 - P(match)) across all pairs.

Auto Trait Implementations§

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impl UnwindSafe for EmReduceOutput

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