[−][src]Struct goko::plugins::discrete::tracker::BayesCategoricalTracker
Computes a frequentist KL divergence calculation on each node the sequence touches.
Implementations
impl<D: PointCloud> BayesCategoricalTracker<D>
[src]
pub fn new(
prior_weight: f64,
observation_weight: f64,
window_size: usize,
reader: CoverTreeReader<D>
) -> BayesCategoricalTracker<D>
[src]
prior_weight: f64,
observation_weight: f64,
window_size: usize,
reader: CoverTreeReader<D>
) -> BayesCategoricalTracker<D>
Creates a new blank thing with capacity size
, input 0 for unlimited.
pub fn append(mut self: Self, other: &Self) -> Self
[src]
Appends a tracker to this one,
pub fn prob_vector(
&self,
na: NodeAddress
) -> Option<(Vec<(NodeAddress, f64)>, f64)>
[src]
&self,
na: NodeAddress
) -> Option<(Vec<(NodeAddress, f64)>, f64)>
Gives the probability vector for this
pub fn evidence_prob_vector(
&self,
na: NodeAddress
) -> Option<(Vec<(NodeAddress, f64)>, f64)>
[src]
&self,
na: NodeAddress
) -> Option<(Vec<(NodeAddress, f64)>, f64)>
Gives the probability vector for this
pub fn add_path(&mut self, trace: Vec<(f32, NodeAddress)>)
[src]
Adds an element to the trace
pub fn running_evidence(&self) -> &HashMap<NodeAddress, Categorical>
[src]
The running categorical distributions
pub fn sequence_len(&self) -> usize
[src]
The lenght of the sequence
pub fn all_node_kl(&self) -> Vec<(f64, NodeAddress)>
[src]
Gives the per-node KL divergence, with the node address
pub fn kl_div_stats(&self) -> KLDivergenceStats
[src]
A set of stats for the sequence that are helpful.
pub fn kl_div(&self) -> f64
[src]
The KL Divergence between the prior and posterior of the whole tree.
pub fn fractal_dim_stats(&self) -> FractalDimStats
[src]
A set of stats for the sequence that are helpful.
pub fn reader(&self) -> &CoverTreeReader<D>
[src]
Easy access to the cover tree read head associated to this tracker
Trait Implementations
impl<D: PointCloud> Debug for BayesCategoricalTracker<D>
[src]
Auto Trait Implementations
impl<D> !RefUnwindSafe for BayesCategoricalTracker<D>
[src]
impl<D> Send for BayesCategoricalTracker<D>
[src]
impl<D> !Sync for BayesCategoricalTracker<D>
[src]
impl<D> Unpin for BayesCategoricalTracker<D>
[src]
impl<D> UnwindSafe for BayesCategoricalTracker<D> where
D: RefUnwindSafe,
[src]
D: RefUnwindSafe,
Blanket Implementations
impl<T> Any for T where
T: 'static + ?Sized,
[src]
T: 'static + ?Sized,
impl<T> Borrow<T> for T where
T: ?Sized,
[src]
T: ?Sized,
impl<T> BorrowMut<T> for T where
T: ?Sized,
[src]
T: ?Sized,
pub fn borrow_mut(&mut self) -> &mut T
[src]
impl<T, U> Cast<U> for T where
U: FromCast<T>,
U: FromCast<T>,
pub fn cast(self) -> U
impl<T> From<T> for T
[src]
impl<T> FromCast<T> for T
pub fn from_cast(t: T) -> T
impl<T, U> Into<U> for T where
U: From<T>,
[src]
U: From<T>,
impl<T> Pointable for T
pub const ALIGN: usize
type Init = T
The type for initializers.
pub unsafe fn init(init: <T as Pointable>::Init) -> usize
pub unsafe fn deref<'a>(ptr: usize) -> &'a T
pub unsafe fn deref_mut<'a>(ptr: usize) -> &'a mut T
pub unsafe fn drop(ptr: usize)
impl<T> Same<T> for T
type Output = T
Should always be Self
impl<SS, SP> SupersetOf<SS> for SP where
SS: SubsetOf<SP>,
SS: SubsetOf<SP>,
pub fn to_subset(&self) -> Option<SS>
pub fn is_in_subset(&self) -> bool
pub unsafe fn to_subset_unchecked(&self) -> SS
pub fn from_subset(element: &SS) -> SP
impl<T, U> TryFrom<U> for T where
U: Into<T>,
[src]
U: Into<T>,
type Error = Infallible
The type returned in the event of a conversion error.
pub fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>
[src]
impl<T, U> TryInto<U> for T where
U: TryFrom<T>,
[src]
U: TryFrom<T>,
type Error = <U as TryFrom<T>>::Error
The type returned in the event of a conversion error.
pub fn try_into(self) -> Result<U, <U as TryFrom<T>>::Error>
[src]
impl<V, T> VZip<V> for T where
V: MultiLane<T>,
V: MultiLane<T>,