sklears_python/
model_selection.rs

1//! Python bindings for model selection utilities
2//!
3//! This module provides Python bindings for sklears model selection,
4//! offering scikit-learn compatible cross-validation and data splitting utilities.
5
6use crate::linear::common::{core_array1_to_py, core_array2_to_py};
7use numpy::{PyArray1, PyArray2, PyReadonlyArray1, PyReadonlyArray2, PyUntypedArrayMethods};
8use pyo3::prelude::*;
9use scirs2_core::ndarray::{Array1, Array2};
10
11/// Split arrays into random train and test subsets
12#[pyfunction]
13#[allow(clippy::too_many_arguments)]
14#[pyo3(signature = (x, _y=None, _test_size=None, _train_size=None, _random_state=None, _shuffle=true, _stratify=None))]
15pub fn train_test_split(
16    py: Python<'_>,
17    x: PyReadonlyArray2<f64>,
18    _y: Option<PyReadonlyArray1<f64>>,
19    _test_size: Option<f64>,
20    _train_size: Option<f64>,
21    _random_state: Option<u64>,
22    _shuffle: bool,
23    _stratify: Option<PyReadonlyArray1<f64>>,
24) -> PyResult<(
25    Py<PyArray2<f64>>,
26    Py<PyArray2<f64>>,
27    Py<PyArray1<f64>>,
28    Py<PyArray1<f64>>,
29)> {
30    // Stub implementation - uses x to suppress unused warning
31    let _n_samples = x.shape()[0];
32
33    let x_train = Array2::<f64>::zeros((1, 1));
34    let x_test = Array2::<f64>::zeros((1, 1));
35    let y_train = Array1::<f64>::zeros(1);
36    let y_test = Array1::<f64>::zeros(1);
37
38    Ok((
39        core_array2_to_py(py, &x_train)?,
40        core_array2_to_py(py, &x_test)?,
41        core_array1_to_py(py, &y_train),
42        core_array1_to_py(py, &y_test),
43    ))
44}
45
46/// Stub KFold cross-validator implementation
47#[pyclass(name = "KFold")]
48pub struct PyKFold {
49    n_splits: usize,
50}
51
52#[pymethods]
53impl PyKFold {
54    #[new]
55    fn new(n_splits: usize) -> Self {
56        Self { n_splits }
57    }
58
59    fn get_n_splits(&self) -> usize {
60        self.n_splits
61    }
62
63    fn split(&self, _x: PyReadonlyArray2<f64>) -> PyResult<Vec<(Vec<usize>, Vec<usize>)>> {
64        // Stub implementation
65        Ok(vec![(vec![0], vec![1])])
66    }
67}
sklears_python/model_selection.rs

sklears_python/
model_selection.rs
