clean up svm
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@@ -0,0 +1,184 @@
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/// SVC grid search parameters
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#[cfg_attr(feature = "serde", derive(Serialize, Deserialize))]
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#[derive(Debug, Clone)]
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pub struct SVCSearchParameters<
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TX: Number + RealNumber,
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TY: Number + Ord,
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X: Array2<TX>,
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Y: Array1<TY>,
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K: Kernel,
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> {
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#[cfg_attr(feature = "serde", serde(default))]
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/// Number of epochs.
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pub epoch: Vec<usize>,
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#[cfg_attr(feature = "serde", serde(default))]
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/// Regularization parameter.
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pub c: Vec<TX>,
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#[cfg_attr(feature = "serde", serde(default))]
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/// Tolerance for stopping epoch.
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pub tol: Vec<TX>,
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#[cfg_attr(feature = "serde", serde(default))]
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/// The kernel function.
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pub kernel: Vec<K>,
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#[cfg_attr(feature = "serde", serde(default))]
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/// Unused parameter.
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m: PhantomData<(X, Y, TY)>,
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#[cfg_attr(feature = "serde", serde(default))]
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/// Controls the pseudo random number generation for shuffling the data for probability estimates
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seed: Vec<Option<u64>>,
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}
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/// SVC grid search iterator
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pub struct SVCSearchParametersIterator<
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TX: Number + RealNumber,
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TY: Number + Ord,
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X: Array2<TX>,
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Y: Array1<TY>,
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K: Kernel,
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> {
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svc_search_parameters: SVCSearchParameters<TX, TY, X, Y, K>,
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current_epoch: usize,
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current_c: usize,
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current_tol: usize,
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current_kernel: usize,
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current_seed: usize,
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}
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impl<TX: Number + RealNumber, TY: Number + Ord, X: Array2<TX>, Y: Array1<TY>, K: Kernel>
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IntoIterator for SVCSearchParameters<TX, TY, X, Y, K>
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{
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type Item = SVCParameters<'a, TX, TY, X, Y>;
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type IntoIter = SVCSearchParametersIterator<TX, TY, X, Y, K>;
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fn into_iter(self) -> Self::IntoIter {
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SVCSearchParametersIterator {
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svc_search_parameters: self,
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current_epoch: 0,
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current_c: 0,
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current_tol: 0,
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current_kernel: 0,
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current_seed: 0,
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}
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}
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}
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impl<TX: Number + RealNumber, TY: Number + Ord, X: Array2<TX>, Y: Array1<TY>, K: Kernel>
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Iterator for SVCSearchParametersIterator<TX, TY, X, Y, K>
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{
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type Item = SVCParameters<TX, TY, X, Y>;
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fn next(&mut self) -> Option<Self::Item> {
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if self.current_epoch == self.svc_search_parameters.epoch.len()
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&& self.current_c == self.svc_search_parameters.c.len()
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&& self.current_tol == self.svc_search_parameters.tol.len()
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&& self.current_kernel == self.svc_search_parameters.kernel.len()
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&& self.current_seed == self.svc_search_parameters.seed.len()
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{
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return None;
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}
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let next = SVCParameters {
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epoch: self.svc_search_parameters.epoch[self.current_epoch],
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c: self.svc_search_parameters.c[self.current_c],
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tol: self.svc_search_parameters.tol[self.current_tol],
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kernel: self.svc_search_parameters.kernel[self.current_kernel].clone(),
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m: PhantomData,
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seed: self.svc_search_parameters.seed[self.current_seed],
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};
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if self.current_epoch + 1 < self.svc_search_parameters.epoch.len() {
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self.current_epoch += 1;
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} else if self.current_c + 1 < self.svc_search_parameters.c.len() {
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self.current_epoch = 0;
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self.current_c += 1;
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} else if self.current_tol + 1 < self.svc_search_parameters.tol.len() {
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self.current_epoch = 0;
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self.current_c = 0;
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self.current_tol += 1;
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} else if self.current_kernel + 1 < self.svc_search_parameters.kernel.len() {
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self.current_epoch = 0;
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self.current_c = 0;
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self.current_tol = 0;
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self.current_kernel += 1;
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} else if self.current_seed + 1 < self.svc_search_parameters.seed.len() {
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self.current_epoch = 0;
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self.current_c = 0;
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self.current_tol = 0;
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self.current_kernel = 0;
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self.current_seed += 1;
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} else {
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self.current_epoch += 1;
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self.current_c += 1;
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self.current_tol += 1;
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self.current_kernel += 1;
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self.current_seed += 1;
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}
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Some(next)
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}
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}
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impl<TX: Number + RealNumber, TY: Number + Ord, X: Array2<TX>, Y: Array1<TY>, K: Kernel> Default
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for SVCSearchParameters<TX, TY, X, Y, K>
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{
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fn default() -> Self {
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let default_params: SVCParameters<TX, TY, X, Y> = SVCParameters::default();
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SVCSearchParameters {
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epoch: vec![default_params.epoch],
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c: vec![default_params.c],
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tol: vec![default_params.tol],
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kernel: vec![default_params.kernel],
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m: PhantomData,
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seed: vec![default_params.seed],
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}
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}
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}
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#[cfg(test)]
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mod tests {
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use num::ToPrimitive;
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use super::*;
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use crate::linalg::basic::matrix::DenseMatrix;
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use crate::metrics::accuracy;
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#[cfg(feature = "serde")]
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use crate::svm::*;
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#[test]
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fn search_parameters() {
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let parameters: SVCSearchParameters<f64, DenseMatrix<f64>, LinearKernel> =
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SVCSearchParameters {
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epoch: vec![10, 100],
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kernel: vec![LinearKernel {}],
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..Default::default()
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};
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let mut iter = parameters.into_iter();
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let next = iter.next().unwrap();
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assert_eq!(next.epoch, 10);
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assert_eq!(next.kernel, LinearKernel {});
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let next = iter.next().unwrap();
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assert_eq!(next.epoch, 100);
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assert_eq!(next.kernel, LinearKernel {});
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assert!(iter.next().is_none());
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}
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#[test]
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fn search_parameters() {
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let parameters: SVCSearchParameters<f64, DenseMatrix<f64>, LinearKernel> =
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SVCSearchParameters {
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epoch: vec![10, 100],
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kernel: vec![LinearKernel {}],
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..Default::default()
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};
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let mut iter = parameters.into_iter();
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let next = iter.next().unwrap();
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assert_eq!(next.epoch, 10);
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assert_eq!(next.kernel, LinearKernel {});
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let next = iter.next().unwrap();
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assert_eq!(next.epoch, 100);
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assert_eq!(next.kernel, LinearKernel {});
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assert!(iter.next().is_none());
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}
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}
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@@ -0,0 +1,112 @@
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// /// SVR grid search parameters
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// #[cfg_attr(feature = "serde", derive(Serialize, Deserialize))]
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// #[derive(Debug, Clone)]
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// pub struct SVRSearchParameters<T: Number + RealNumber, M: Matrix<T>, K: Kernel<T, M::RowVector>> {
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// /// Epsilon in the epsilon-SVR model.
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// pub eps: Vec<T>,
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// /// Regularization parameter.
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// pub c: Vec<T>,
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// /// Tolerance for stopping eps.
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// pub tol: Vec<T>,
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// /// The kernel function.
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// pub kernel: Vec<K>,
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// /// Unused parameter.
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// m: PhantomData<M>,
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// }
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// /// SVR grid search iterator
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// pub struct SVRSearchParametersIterator<T: Number + RealNumber, M: Matrix<T>, K: Kernel<T, M::RowVector>> {
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// svr_search_parameters: SVRSearchParameters<T, M, K>,
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// current_eps: usize,
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// current_c: usize,
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// current_tol: usize,
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// current_kernel: usize,
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// }
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// impl<T: Number + RealNumber, M: Matrix<T>, K: Kernel<T, M::RowVector>> IntoIterator
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// for SVRSearchParameters<T, M, K>
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// {
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// type Item = SVRParameters<T, M, K>;
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// type IntoIter = SVRSearchParametersIterator<T, M, K>;
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// fn into_iter(self) -> Self::IntoIter {
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// SVRSearchParametersIterator {
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// svr_search_parameters: self,
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// current_eps: 0,
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// current_c: 0,
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// current_tol: 0,
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// current_kernel: 0,
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// }
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// }
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// }
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// impl<T: Number + RealNumber, M: Matrix<T>, K: Kernel<T, M::RowVector>> Iterator
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// for SVRSearchParametersIterator<T, M, K>
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// {
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// type Item = SVRParameters<T, M, K>;
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// fn next(&mut self) -> Option<Self::Item> {
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// if self.current_eps == self.svr_search_parameters.eps.len()
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// && self.current_c == self.svr_search_parameters.c.len()
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// && self.current_tol == self.svr_search_parameters.tol.len()
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// && self.current_kernel == self.svr_search_parameters.kernel.len()
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// {
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// return None;
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// }
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// let next = SVRParameters::<T, M, K> {
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// eps: self.svr_search_parameters.eps[self.current_eps],
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// c: self.svr_search_parameters.c[self.current_c],
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// tol: self.svr_search_parameters.tol[self.current_tol],
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// kernel: self.svr_search_parameters.kernel[self.current_kernel].clone(),
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// m: PhantomData,
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// };
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// if self.current_eps + 1 < self.svr_search_parameters.eps.len() {
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// self.current_eps += 1;
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// } else if self.current_c + 1 < self.svr_search_parameters.c.len() {
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// self.current_eps = 0;
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// self.current_c += 1;
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// } else if self.current_tol + 1 < self.svr_search_parameters.tol.len() {
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// self.current_eps = 0;
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// self.current_c = 0;
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// self.current_tol += 1;
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// } else if self.current_kernel + 1 < self.svr_search_parameters.kernel.len() {
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// self.current_eps = 0;
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// self.current_c = 0;
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// self.current_tol = 0;
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// self.current_kernel += 1;
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// } else {
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// self.current_eps += 1;
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// self.current_c += 1;
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// self.current_tol += 1;
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// self.current_kernel += 1;
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// }
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// Some(next)
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// }
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// }
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// impl<T: Number + RealNumber, M: Matrix<T>> Default for SVRSearchParameters<T, M, LinearKernel> {
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// fn default() -> Self {
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// let default_params: SVRParameters<T, M, LinearKernel> = SVRParameters::default();
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// SVRSearchParameters {
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// eps: vec![default_params.eps],
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// c: vec![default_params.c],
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// tol: vec![default_params.tol],
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// kernel: vec![default_params.kernel],
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// m: PhantomData,
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// }
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// }
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// }
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// #[cfg_attr(feature = "serde", derive(Serialize, Deserialize))]
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// #[derive(Debug)]
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// #[cfg_attr(
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// feature = "serde",
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// serde(bound(
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// serialize = "M::RowVector: Serialize, K: Serialize, T: Serialize",
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// deserialize = "M::RowVector: Deserialize<'de>, K: Deserialize<'de>, T: Deserialize<'de>",
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// ))
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// )]
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