sklears_kernel_approximation::gradient_kernel_learning

Struct GradientMultiKernelLearner

pub struct GradientMultiKernelLearner { /* private fields */ }

Expand description

Gradient-based multi-kernel learning

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impl GradientMultiKernelLearner

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pub fn new(n_kernels: usize, n_parameters_per_kernel: usize) -> Self

Create a new gradient-based multi-kernel learner

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pub fn optimize( &mut self, x: &Array2<f64>, y: Option<&Array1<f64>>, ) -> Result<()>

Optimize all kernels and combination weights

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pub fn get_all_parameters(&self) -> Vec<&Array1<f64>> ⓘ

Get optimized parameters for all kernels

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pub fn get_combination_weights(&self) -> &Array1<f64>

Get combination weights

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impl UnwindSafe for GradientMultiKernelLearner

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