quantrs2-ml 0.1.3

Quantum Machine Learning module for QuantRS2
Documentation 
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//! Feature selection methods for dimensionality reduction

use crate::error::{MLError, Result};
use scirs2_core::ndarray::{Array1, Array2};

/// Feature selection methods
pub struct QuantumFeatureSelector {
    method: String,
    n_features: usize,
}

impl QuantumFeatureSelector {
    pub fn new(method: String, n_features: usize) -> Self {
        Self { method, n_features }
    }

    pub fn fit_transform(&mut self, data: &Array2<f64>) -> Result<Array2<f64>> {
        // Placeholder: select first n_features
        let selected_cols = (0..self.n_features.min(data.ncols())).collect::<Vec<_>>();
        Ok(data.select(scirs2_core::ndarray::Axis(1), &selected_cols))
    }
}