Struct TrainedGraphSemiSupervisedSVM

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pub struct TrainedGraphSemiSupervisedSVM {
    pub coef_: Array2<f64>,
    pub intercept_: Array1<f64>,
    pub classes_: Array1<i32>,
    pub n_features_in_: usize,
    pub training_data_: Array2<f64>,
    pub graph_matrix_: Array2<f64>,
    pub unlabeled_predictions_: Array1<f64>,
    /* private fields */
}

Expand description

Trained Graph-based Semi-supervised SVM model

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§coef_: Array2<f64>

Model weights (coefficients)

§intercept_: Array1<f64>

Intercept terms

§classes_: Array1<i32>

Unique class labels

§n_features_in_: usize

Number of features

§training_data_: Array2<f64>

Training data (labeled + unlabeled)

§graph_matrix_: Array2<f64>

Graph adjacency matrix

§unlabeled_predictions_: Array1<f64>

Predicted labels for unlabeled data

Implementations§

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impl TrainedGraphSemiSupervisedSVM

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pub fn decision_function(&self, x: &Array2<f64>) -> Result<Array2<f64>>

Compute decision function values

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pub fn coef(&self) -> &Array2<f64>

Get the model coefficients

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

Get the intercept terms

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pub fn classes(&self) -> &Array1<i32>

Get the class labels

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pub fn graph_matrix(&self) -> &Array2<f64>

Get the graph adjacency matrix

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

Get the predictions for unlabeled data from training

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pub fn training_data(&self) -> &Array2<f64>

Get the combined training data (labeled + unlabeled)

Trait Implementations§

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impl Clone for TrainedGraphSemiSupervisedSVM

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fn clone(&self) -> TrainedGraphSemiSupervisedSVM

Returns a duplicate of the value. Read more

1.0.0 (const: unstable) · Source§

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more

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impl Debug for TrainedGraphSemiSupervisedSVM

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fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter. Read more

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impl Predict<ArrayBase<OwnedRepr<f64>, Dim<[usize; 2]>>, ArrayBase<OwnedRepr<i32>, Dim<[usize; 1]>>> for TrainedGraphSemiSupervisedSVM

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fn predict(&self, x: &Array2<f64>) -> Result<Array1<i32>>

Make predictions on the provided data

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fn predict_with_uncertainty( &self, x: &X, ) -> Result<(Output, UncertaintyMeasure), SklearsError>

Make predictions with confidence intervals

Auto Trait Implementations§

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impl UnwindSafe for TrainedGraphSemiSupervisedSVM

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impl<T> Any for T
where T: 'static + ?Sized,

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fn type_id(&self) -> TypeId

Gets the TypeId of self. Read more

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impl<T> Borrow<T> for T
where T: ?Sized,

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fn borrow(&self) -> &T

Immutably borrows from an owned value. Read more

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impl<T> BorrowMut<T> for T
where T: ?Sized,

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fn borrow_mut(&mut self) -> &mut T

Mutably borrows from an owned value. Read more

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impl<ST, DT> CastableFrom<ST, Initialized, Initialized> for DT
where ST: ?Sized, DT: ?Sized,

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impl<ST, DT> CastableFrom<ST, Uninit, Uninit> for DT
where ST: ?Sized, DT: ?Sized,

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impl<T> CloneToUninit for T
where T: Clone,

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unsafe fn clone_to_uninit(&self, dest: *mut u8)

🔬This is a nightly-only experimental API. (clone_to_uninit)

Performs copy-assignment from self to dest. Read more

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impl<T> From<T> for T

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fn from(t: T) -> T

Returns the argument unchanged.

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impl<T, U> Into for T
where U: From<T>,

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fn into(self) -> U

Calls U::from(self).

That is, this conversion is whatever the implementation of From<T> for U chooses to do.

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impl<T> IntoEither for T

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fn into_either(self, into_left: bool) -> Either<Self, Self>

Converts self into a Left variant of Either<Self, Self> if into_left is true. Converts self into a Right variant of Either<Self, Self> otherwise. Read more

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fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>
where F: FnOnce(&Self) -> bool,

Converts self into a Left variant of Either<Self, Self> if into_left(&self) returns true. Converts self into a Right variant of Either<Self, Self> otherwise. Read more

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