quantrs2-ml 0.1.3

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

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

/// Time series dimensionality reduction
pub struct QuantumTimeSeriesDR {
    n_components: usize,
}

impl QuantumTimeSeriesDR {
    pub fn new(n_components: usize) -> Self {
        Self { n_components }
    }

    pub fn fit_transform(&mut self, data: &Array2<f64>) -> Result<Array2<f64>> {
        // Placeholder implementation
        Ok(Array2::zeros((data.nrows(), self.n_components)))
    }
}

/// Image/Tensor dimensionality reduction
pub struct QuantumImageTensorDR {
    n_components: usize,
}

impl QuantumImageTensorDR {
    pub fn new(n_components: usize) -> Self {
        Self { n_components }
    }

    pub fn fit_transform(&mut self, data: &Array2<f64>) -> Result<Array2<f64>> {
        // Placeholder implementation
        Ok(Array2::zeros((data.nrows(), self.n_components)))
    }
}

/// Graph dimensionality reduction
pub struct QuantumGraphDR {
    n_components: usize,
}

impl QuantumGraphDR {
    pub fn new(n_components: usize) -> Self {
        Self { n_components }
    }

    pub fn fit_transform(&mut self, data: &Array2<f64>) -> Result<Array2<f64>> {
        // Placeholder implementation
        Ok(Array2::zeros((data.nrows(), self.n_components)))
    }
}