pub enum ModelType {
LinearRegression,
LogisticRegression,
GeneralizedLinear {
family: GLMFamily,
},
HierarchicalLinear {
levels: usize,
},
GaussianProcess {
kernel: KernelType,
},
BayesianNeuralNetwork {
layers: Vec<usize>,
activation: ActivationType,
},
StateSpace {
state_dim: usize,
observation_dim: usize,
},
Mixture {
components: usize,
component_type: ComponentType,
},
}Expand description
Model types for Bayesian analysis
Variants§
LinearRegression
Linear regression with various priors
LogisticRegression
Logistic regression
GeneralizedLinear
Generalized linear model
Fields
§
family: GLMFamilyHierarchicalLinear
Hierarchical linear model
GaussianProcess
Gaussian process regression
Fields
§
kernel: KernelTypeBayesianNeuralNetwork
Bayesian neural network
StateSpace
State space model
Mixture
Mixture model
Trait Implementations§
Auto Trait Implementations§
impl Freeze for ModelType
impl RefUnwindSafe for ModelType
impl Send for ModelType
impl Sync for ModelType
impl Unpin for ModelType
impl UnwindSafe for ModelType
Blanket Implementations§
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T: ?Sized,
impl<T> BorrowMut<T> for Twhere
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Mutably borrows from an owned value. Read more
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impl<T> CloneToUninit for Twhere
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impl<T> IntoEither for T
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if into_left is true.
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fn into_either_with<F>(self, into_left: F) -> Either<Self, Self> ⓘ
Converts
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if into_left(&self) returns true.
Converts self into a Right variant of Either<Self, Self>
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impl<T> Pointable for T
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The inverse inclusion map: attempts to construct
self from the equivalent element of its
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Checks if
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Use with care! Same as
self.to_subset but without any property checks. Always succeeds.Source§fn from_subset(element: &SS) -> SP
fn from_subset(element: &SS) -> SP
The inclusion map: converts
self to the equivalent element of its superset.