pub fn run_members_regression(
model: &TabFMModel,
x_train_raw: &[Vec<Value>],
y_train_scaled: &[f64],
x_query_raw: &[Vec<Value>],
cat_mask: &[bool],
configs: &[MemberConfig],
outlier_threshold: f64,
batch_size: Option<usize>,
) -> Result<Vec<Vec<f64>>>Expand description
Same idea for regression: returns [member][query_row] scaled (not yet inverse-transformed)
predictions.