gam 0.3.121

Generalized penalized likelihood engine
Documentation 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53

use super::*;

fn resolve_continuous_column(
    data: &Dataset,
    col_map: &HashMap<String, usize>,
    column_name: &str,
    role: &str,
) -> Result<Array1<f64>, WorkflowError> {
    let col_idx = resolve_role_col(col_map, column_name, role)?;
    let values = data.values.column(col_idx).to_owned();
    for (row_idx, value) in values.iter().enumerate() {
        if !value.is_finite() {
            return Err(WorkflowError::SchemaMismatch {
                reason: format!(
                    "{role} column '{column_name}' contains non-finite value at row {row_idx}: {value}"
                ),
            });
        }
    }
    Ok(values)
}

pub fn resolve_offset_column(
    data: &Dataset,
    col_map: &HashMap<String, usize>,
    column_name: Option<&str>,
) -> Result<Array1<f64>, WorkflowError> {
    let Some(column_name) = column_name else {
        return Ok(Array1::zeros(data.values.nrows()));
    };
    resolve_continuous_column(data, col_map, column_name, "offset")
}

pub fn resolve_weight_column(
    data: &Dataset,
    col_map: &HashMap<String, usize>,
    column_name: Option<&str>,
) -> Result<Array1<f64>, WorkflowError> {
    let Some(column_name) = column_name else {
        return Ok(Array1::ones(data.values.nrows()));
    };
    let values = resolve_continuous_column(data, col_map, column_name, "weights")?;
    for (row_idx, value) in values.iter().enumerate() {
        if *value < 0.0 {
            return Err(WorkflowError::SchemaMismatch {
                reason: format!(
                    "weights column '{column_name}' must be non-negative; found {value} at row {row_idx}"
                ),
            });
        }
    }
    Ok(values)
}