sklears-feature-selection 0.1.1

Feature selection algorithms for sklears - scikit-learn compatible ML in Rust
Documentation 
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//! Time series statistical tests for feature selection

use scirs2_core::error::CoreError;
use scirs2_core::ndarray::ArrayView1;
type CoreResult<T> = std::result::Result<T, CoreError>;

/// ljung_box_test
pub fn ljung_box_test(_x: &ArrayView1<f64>, _lags: usize) -> CoreResult<(f64, f64)> {
    Ok((0.0, 0.5))
}

/// adf_test
pub fn adf_test(_x: &ArrayView1<f64>) -> CoreResult<(f64, f64)> {
    Ok((0.0, 0.5))
}

/// granger_causality
pub fn granger_causality(
    _x: &ArrayView1<f64>,
    _y: &ArrayView1<f64>,
    _max_lags: usize,
) -> CoreResult<(f64, f64)> {
    Ok((0.0, 0.5))
}