Struct light_curve_feature::prelude::TimeSeries [−][src]
pub struct TimeSeries<'a, T> where
T: Float, {
pub t: DataSample<'a, T>,
pub m: DataSample<'a, T>,
pub w: DataSample<'a, T>,
// some fields omitted
}
Expand description
Time series object to be put into Feature
This struct caches it’s properties, like mean magnitude value, etc., that’s why mutable reference is required fot feature evaluation
Fields
t: DataSample<'a, T>
m: DataSample<'a, T>
w: DataSample<'a, T>
Implementations
pub fn new(
t: impl Into<DataSample<'a, T>>,
m: impl Into<DataSample<'a, T>>,
w: impl Into<DataSample<'a, T>>
) -> Self
pub fn new(
t: impl Into<DataSample<'a, T>>,
m: impl Into<DataSample<'a, T>>,
w: impl Into<DataSample<'a, T>>
) -> Self
Construct TimeSeries
from array-like objects
t
is time, m
is magnitude (or flux), w
is weights.
All arrays must have the same length, t
must increase monotonically. Input arrays could be
ndarray::Array1, ndarray::ArrayView1, 1-D ndarray::CowArray, or &[T]
. Several
features assumes that w
array corresponds to inverse square errors of m
.
pub fn new_without_weight(
t: impl Into<DataSample<'a, T>>,
m: impl Into<DataSample<'a, T>>
) -> Self
pub fn new_without_weight(
t: impl Into<DataSample<'a, T>>,
m: impl Into<DataSample<'a, T>>
) -> Self
Construct TimeSeries from time and magnitude (flux)
It is the same as TimeSeries::new, but sets unity weights. It doesn’t recommended to use it for features dependent on weights / observation errors like crate::StetsonK or crate::LinearFit.
Trait Implementations
Auto Trait Implementations
impl<'a, T> RefUnwindSafe for TimeSeries<'a, T> where
T: RefUnwindSafe,
impl<'a, T> Send for TimeSeries<'a, T>
impl<'a, T> Sync for TimeSeries<'a, T>
impl<'a, T> Unpin for TimeSeries<'a, T> where
T: Unpin,
impl<'a, T> UnwindSafe for TimeSeries<'a, T> where
T: UnwindSafe + RefUnwindSafe,
Blanket Implementations
Convert the given value into an approximately equivalent representation.
impl<Dst, Src, Scheme> ApproxInto<Dst, Scheme> for Src where
Dst: ApproxFrom<Src, Scheme>,
Scheme: ApproxScheme,
impl<Dst, Src, Scheme> ApproxInto<Dst, Scheme> for Src where
Dst: ApproxFrom<Src, Scheme>,
Scheme: ApproxScheme,
type Err = <Dst as ApproxFrom<Src, Scheme>>::Err
type Err = <Dst as ApproxFrom<Src, Scheme>>::Err
The error type produced by a failed conversion.
Convert the subject into an approximately equivalent representation.
Mutably borrows from an owned value. Read more
Approximate the subject with the default scheme.
fn approx_by<Scheme>(self) -> Result<Dst, Self::Err> where
Self: ApproxInto<Dst, Scheme>,
Scheme: ApproxScheme,
fn approx_by<Scheme>(self) -> Result<Dst, Self::Err> where
Self: ApproxInto<Dst, Scheme>,
Scheme: ApproxScheme,
Approximate the subject with a specific scheme.
Approximate the subject to a given type with the default scheme.
fn approx_as_by<Dst, Scheme>(self) -> Result<Dst, Self::Err> where
Self: ApproxInto<Dst, Scheme>,
Scheme: ApproxScheme,
fn approx_as_by<Dst, Scheme>(self) -> Result<Dst, Self::Err> where
Self: ApproxInto<Dst, Scheme>,
Scheme: ApproxScheme,
Approximate the subject to a given type with a specific scheme.
Attempt to convert the subject to a given type.