rusty_science 0.1.1

An easy to learn and use ML toolkit for rust
Documentation 
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mod test_metrics;
mod test_knn;
mod test_tree;
mod test_data;
mod test_svc;
mod test_perceptron;
mod test_dbscan;

#[cfg(test)]
mod tests {
    // Knn
    use crate::test_knn::test_knn_classification::test_knn_classification_integration;
    use crate::test_knn::test_knn_clustering::test_knn_clustering_integration;
    use crate::test_knn::test_knn_regression::test_knn_regression_integration;

    
    // metrics
    use crate::test_metrics::accuracy_score::{test_accuracy_score, test_accuracy_score_normalized};
    use crate::test_metrics::r2::test_all_r2;

    #[test]
    fn test_knn(){
        test_knn_regression_integration();
        test_knn_classification_integration();
        test_knn_clustering_integration();
    }
    
    #[test]
    fn test_metrics(){
        test_accuracy_score();
        test_accuracy_score_normalized();
        test_all_r2()
    }
    
    
}