Struct fetish_lib::data_points::DataPoints [−][src]
Expand description
Data points as input and output matrices, where each row is another data-point and every data-point is assumed to have a weight of 1.
Fields
in_vecs: Array2<f32>
out_vecs: Array2<f32>
Implementations
impl DataPoints
[src]
impl DataPoints
[src]pub fn num_points(&self) -> usize
[src]
pub fn num_points(&self) -> usize
[src]Gets the number of data-points in this DataPoints
.
Trait Implementations
impl<'a> AddAssign<DataPoints> for Model<'a>
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impl<'a> AddAssign<DataPoints> for Model<'a>
[src]fn add_assign(&mut self, other: DataPoints)
[src]
fn add_assign(&mut self, other: DataPoints)
[src]Updates this Model
to reflect new regression information from the
given DataPoints
, which is assumed to map from the compressed space
of the input to the compressed space of the output.
Auto Trait Implementations
impl RefUnwindSafe for DataPoints
impl Send for DataPoints
impl Sync for DataPoints
impl Unpin for DataPoints
impl UnwindSafe for DataPoints
Blanket Implementations
impl<T> BorrowMut<T> for T where
T: ?Sized,
[src]
impl<T> BorrowMut<T> for T where
T: ?Sized,
[src]pub fn borrow_mut(&mut self) -> &mut T
[src]
pub fn borrow_mut(&mut self) -> &mut T
[src]Mutably borrows from an owned value. Read more
impl<V, T> VZip<V> for T where
V: MultiLane<T>,
impl<V, T> VZip<V> for T where
V: MultiLane<T>,