nabled 0.0.8

A linear algebra library written in Rust with an ndarray-first architecture.
Documentation 
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//! Arrow adapters for regression workflows.

use arrow_array::types::{Float32Type, Float64Type};
use arrow_array::{FixedSizeListArray, PrimitiveArray};
use arrow_schema::Field;

use super::{
    ArrowInteropError, complex64_matrix_view, complex64_vector_view, fixed_size_list_view,
    primitive_array_view,
};

/// Solve `f32` linear regression directly from Arrow dense inputs.
///
/// # Errors
/// Returns an error when inputs contain nulls, are empty, or the regression system is singular.
pub fn linear_regression_f32(
    x: &FixedSizeListArray,
    y: &PrimitiveArray<Float32Type>,
    add_intercept: bool,
) -> Result<crate::ml::regression::NdarrayRegressionResult<f32>, ArrowInteropError> {
    let x_view = fixed_size_list_view::<Float32Type>(x)?;
    let y_view = primitive_array_view(y)?;
    Ok(crate::ml::regression::linear_regression_view(&x_view, &y_view, add_intercept)?)
}

/// Solve `f64` linear regression directly from Arrow dense inputs.
///
/// # Errors
/// Returns an error when inputs contain nulls, are empty, or the regression system is singular.
pub fn linear_regression_f64(
    x: &FixedSizeListArray,
    y: &PrimitiveArray<Float64Type>,
    add_intercept: bool,
) -> Result<crate::ml::regression::NdarrayRegressionResult<f64>, ArrowInteropError> {
    let x_view = fixed_size_list_view::<Float64Type>(x)?;
    let y_view = primitive_array_view(y)?;
    Ok(crate::ml::regression::linear_regression_view(&x_view, &y_view, add_intercept)?)
}

/// Solve complex linear regression directly from Arrow complex dense inputs.
///
/// # Errors
/// Returns an error when inputs contain nulls, are empty, or the regression system is singular.
pub fn linear_regression_complex(
    x: &FixedSizeListArray,
    y_field: &Field,
    y: &FixedSizeListArray,
    add_intercept: bool,
) -> Result<crate::ml::regression::NdarrayComplexRegressionResult, ArrowInteropError> {
    let x_view = complex64_matrix_view(x)?;
    let y_view = complex64_vector_view(y_field, y)?;
    Ok(crate::ml::regression::linear_regression_complex_view(&x_view, &y_view, add_intercept)?)
}