Struct MitraModel

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pub struct MitraModel { /* private fields */ }

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impl MitraModel

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pub fn load(gguf_path: &Path, config: MitraConfig) -> Result<Self>

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pub fn predict_classification( &self, x_support: &[Vec<f32>], y_support: &[usize], x_query: &[Vec<f32>], n_classes: usize, ) -> Result<Vec<Vec<f32>>>

Zero-shot classification. y_support are class indices 0..n_classes. Returns raw logits [n_query][n_classes] (softmax if you want probabilities).

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pub fn predict_regression( &self, x_support: &[Vec<f32>], y_support: &[f32], x_query: &[Vec<f32>], ) -> Result<Vec<f32>>

Zero-shot regression. Returns predicted values in y_support’s original scale.

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impl UnsafeUnpin for MitraModel

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