Struct MultiModalGaussianMixtureTrained

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pub struct MultiModalGaussianMixtureTrained {
    pub weights: Array1<f64>,
    pub modality_means: HashMap<String, Array2<f64>>,
    pub modality_covariances: HashMap<String, Array3<f64>>,
    pub shared_latent_means: Option<Array2<f64>>,
    pub latent_projections: HashMap<String, Array2<f64>>,
    pub coupling_parameters: Array2<f64>,
    pub log_likelihood_history: Vec<f64>,
    pub n_iter: usize,
    pub config: MultiModalConfig,
}

Expand description

Trained Multi-Modal GMM

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§weights: Array1<f64>

weights

§modality_means: HashMap<String, Array2<f64>>

modality_means

§modality_covariances: HashMap<String, Array3<f64>>

modality_covariances

§shared_latent_means: Option<Array2<f64>>

shared_latent_means

§latent_projections: HashMap<String, Array2<f64>>

latent_projections

§coupling_parameters: Array2<f64>

coupling_parameters

§log_likelihood_history: Vec<f64>

log_likelihood_history

§n_iter: usize

n_iter

§config: MultiModalConfig

config

Implementations§

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impl MultiModalGaussianMixtureTrained

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pub fn predict_proba( &self, X: &HashMap<String, Array2<f64>>, ) -> SklResult<Array2<f64>>

Predict class probabilities for multi-modal data

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pub fn score(&self, X: &HashMap<String, Array2<f64>>) -> SklResult<f64>

Compute log-likelihood of the data

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pub fn model_selection( &self, X: &HashMap<String, Array2<f64>>, ) -> SklResult<ModelSelection>

Get model selection criteria

Trait Implementations§

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impl Clone for MultiModalGaussianMixtureTrained

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fn clone(&self) -> MultiModalGaussianMixtureTrained

Returns a duplicate of the value. Read more

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

Performs copy-assignment from source. Read more

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impl Debug for MultiModalGaussianMixtureTrained

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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<HashMap<String, ArrayBase<OwnedRepr<f64>, Dim<[usize; 2]>>>, ArrayBase<OwnedRepr<usize>, Dim<[usize; 1]>>> for MultiModalGaussianMixtureTrained

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fn predict(&self, X: &HashMap<String, Array2<f64>>) -> SklResult<Array1<usize>>

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 MultiModalGaussianMixtureTrained

Blanket Implementations§

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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<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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