[−][src]Struct tensorflow_proto::tensorflow::boosted_trees::learner::AveragingConfig
When we have a sequence of trees 1, 2, 3 ... n, these essentially represent weights updates in functional space, and thus we can use averaging of weight updates to achieve better performance. For example, we can say that our final ensemble will be an average of ensembles of tree 1, and ensemble of tree 1 and tree 2 etc .. ensemble of all trees. Note that this averaging will apply ONLY DURING PREDICTION. The training stays the same.
Fields
config: Option<Config>
Trait Implementations
impl Clone for AveragingConfig
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pub fn clone(&self) -> AveragingConfig
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pub fn clone_from(&mut self, source: &Self)
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impl Debug for AveragingConfig
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impl Default for AveragingConfig
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impl Message for AveragingConfig
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pub fn encode_raw<B>(&self, buf: &mut B) where
B: BufMut,
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B: BufMut,
pub fn merge_field<B>(
&mut self,
tag: u32,
wire_type: WireType,
buf: &mut B,
ctx: DecodeContext
) -> Result<(), DecodeError> where
B: Buf,
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&mut self,
tag: u32,
wire_type: WireType,
buf: &mut B,
ctx: DecodeContext
) -> Result<(), DecodeError> where
B: Buf,
pub fn encoded_len(&self) -> usize
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pub fn clear(&mut self)
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pub fn encode<B>(&self, buf: &mut B) -> Result<(), EncodeError> where
B: BufMut,
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B: BufMut,
pub fn encode_length_delimited<B>(&self, buf: &mut B) -> Result<(), EncodeError> where
B: BufMut,
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B: BufMut,
pub fn decode<B>(buf: B) -> Result<Self, DecodeError> where
Self: Default,
B: Buf,
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Self: Default,
B: Buf,
pub fn decode_length_delimited<B>(buf: B) -> Result<Self, DecodeError> where
Self: Default,
B: Buf,
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Self: Default,
B: Buf,
pub fn merge<B>(&mut self, buf: B) -> Result<(), DecodeError> where
B: Buf,
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B: Buf,
pub fn merge_length_delimited<B>(&mut self, buf: B) -> Result<(), DecodeError> where
B: Buf,
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B: Buf,
impl PartialEq<AveragingConfig> for AveragingConfig
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pub fn eq(&self, other: &AveragingConfig) -> bool
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pub fn ne(&self, other: &AveragingConfig) -> bool
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impl StructuralPartialEq for AveragingConfig
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Auto Trait Implementations
impl RefUnwindSafe for AveragingConfig
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impl Send for AveragingConfig
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impl Sync for AveragingConfig
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impl Unpin for AveragingConfig
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impl UnwindSafe for AveragingConfig
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Blanket Implementations
impl<T> Any for T where
T: 'static + ?Sized,
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T: 'static + ?Sized,
impl<T> Borrow<T> for T where
T: ?Sized,
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T: ?Sized,
impl<T> BorrowMut<T> for T where
T: ?Sized,
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T: ?Sized,
pub fn borrow_mut(&mut self) -> &mut T
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impl<T> From<T> for T
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impl<T, U> Into<U> for T where
U: From<T>,
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U: From<T>,
impl<T> ToOwned for T where
T: Clone,
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T: Clone,
type Owned = T
The resulting type after obtaining ownership.
pub fn to_owned(&self) -> T
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pub fn clone_into(&self, target: &mut T)
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impl<T, U> TryFrom<U> for T where
U: Into<T>,
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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>
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impl<T, U> TryInto<U> for T where
U: TryFrom<T>,
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U: TryFrom<T>,