Struct light_curve_feature::features::LinearTrend
source · pub struct LinearTrend {}
Expand description
The slope, its error and noise level of the light curve in the linear fit
Least squares fit of the linear stochastic model with constant Gaussian noise $\Sigma$ assuming observation errors to be zero: $$ m_i = c + \mathrm{slope} t_i + \Sigma \varepsilon_i, $$ where $c$ is a constant, ${\varepsilon_i}$ are standard distributed random variables. $\mathrm{slope}$, $\sigma_\mathrm{slope}$ and $\Sigma$ are returned.
- Depends on: time, magnitude
- Minimum number of observations: 3
- Number of features: 3
Implementations§
Trait Implementations§
source§impl Clone for LinearTrend
impl Clone for LinearTrend
source§fn clone(&self) -> LinearTrend
fn clone(&self) -> LinearTrend
Returns a copy of the value. Read more
1.0.0 · source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
Performs copy-assignment from
source
. Read moresource§impl Debug for LinearTrend
impl Debug for LinearTrend
source§impl Default for LinearTrend
impl Default for LinearTrend
source§fn default() -> LinearTrend
fn default() -> LinearTrend
Returns the “default value” for a type. Read more
source§impl<'de> Deserialize<'de> for LinearTrend
impl<'de> Deserialize<'de> for LinearTrend
source§fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>where
__D: Deserializer<'de>,
fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>where
__D: Deserializer<'de>,
Deserialize this value from the given Serde deserializer. Read more
source§impl EvaluatorInfoTrait for LinearTrend
impl EvaluatorInfoTrait for LinearTrend
source§fn min_ts_length(&self) -> usize
fn min_ts_length(&self) -> usize
Minimum time series length required to successfully evaluate feature
source§fn is_t_required(&self) -> bool
fn is_t_required(&self) -> bool
If time array used by the feature
source§fn is_m_required(&self) -> bool
fn is_m_required(&self) -> bool
If magnitude array is used by the feature
source§fn is_w_required(&self) -> bool
fn is_w_required(&self) -> bool
If weight array is used by the feature
source§fn is_sorting_required(&self) -> bool
fn is_sorting_required(&self) -> bool
If feature requires time-sorting on the input TimeSeries
source§impl<T> FeatureEvaluator<T> for LinearTrendwhere
T: Float,
impl<T> FeatureEvaluator<T> for LinearTrendwhere
T: Float,
source§fn eval(&self, ts: &mut TimeSeries<'_, T>) -> Result<Vec<T>, EvaluatorError>
fn eval(&self, ts: &mut TimeSeries<'_, T>) -> Result<Vec<T>, EvaluatorError>
Vector of feature values or
EvaluatorError
source§fn eval_or_fill(&self, ts: &mut TimeSeries<'_, T>, fill_value: T) -> Vec<T>
fn eval_or_fill(&self, ts: &mut TimeSeries<'_, T>, fill_value: T) -> Vec<T>
Returns vector of feature values and fill invalid components with given value
source§fn check_ts_length(
&self,
ts: &TimeSeries<'_, T>
) -> Result<usize, EvaluatorError>
fn check_ts_length( &self, ts: &TimeSeries<'_, T> ) -> Result<usize, EvaluatorError>
Checks if TimeSeries has enough points to evaluate the feature
source§impl<T> From<LinearTrend> for Feature<T>where
T: Float,
impl<T> From<LinearTrend> for Feature<T>where
T: Float,
source§fn from(v: LinearTrend) -> Feature<T>
fn from(v: LinearTrend) -> Feature<T>
Converts to this type from the input type.
source§impl JsonSchema for LinearTrend
impl JsonSchema for LinearTrend
source§fn schema_name() -> String
fn schema_name() -> String
The name of the generated JSON Schema. Read more
source§fn schema_id() -> Cow<'static, str>
fn schema_id() -> Cow<'static, str>
Returns a string that uniquely identifies the schema produced by this type. Read more
source§fn json_schema(gen: &mut SchemaGenerator) -> Schema
fn json_schema(gen: &mut SchemaGenerator) -> Schema
Generates a JSON Schema for this type. Read more
source§fn is_referenceable() -> bool
fn is_referenceable() -> bool
Whether JSON Schemas generated for this type should be re-used where possible using the
$ref
keyword. Read moresource§impl Serialize for LinearTrend
impl Serialize for LinearTrend
Auto Trait Implementations§
impl Freeze for LinearTrend
impl RefUnwindSafe for LinearTrend
impl Send for LinearTrend
impl Sync for LinearTrend
impl Unpin for LinearTrend
impl UnwindSafe for LinearTrend
Blanket Implementations§
source§impl<Src, Scheme> ApproxFrom<Src, Scheme> for Srcwhere
Scheme: ApproxScheme,
impl<Src, Scheme> ApproxFrom<Src, Scheme> for Srcwhere
Scheme: ApproxScheme,
source§fn approx_from(src: Src) -> Result<Src, <Src as ApproxFrom<Src, Scheme>>::Err>
fn approx_from(src: Src) -> Result<Src, <Src as ApproxFrom<Src, Scheme>>::Err>
Convert the given value into an approximately equivalent representation.
source§impl<Dst, Src, Scheme> ApproxInto<Dst, Scheme> for Srcwhere
Dst: ApproxFrom<Src, Scheme>,
Scheme: ApproxScheme,
impl<Dst, Src, Scheme> ApproxInto<Dst, Scheme> for Srcwhere
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.
source§fn approx_into(self) -> Result<Dst, <Src as ApproxInto<Dst, Scheme>>::Err>
fn approx_into(self) -> Result<Dst, <Src as ApproxInto<Dst, Scheme>>::Err>
Convert the subject into an approximately equivalent representation.
source§impl<T> BorrowMut<T> for Twhere
T: ?Sized,
impl<T> BorrowMut<T> for Twhere
T: ?Sized,
source§fn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more
source§impl<T, Dst> ConvAsUtil<Dst> for T
impl<T, Dst> ConvAsUtil<Dst> for T
source§impl<T> ConvUtil for T
impl<T> ConvUtil for T
source§fn approx_as<Dst>(self) -> Result<Dst, Self::Err>where
Self: Sized + ApproxInto<Dst>,
fn approx_as<Dst>(self) -> Result<Dst, Self::Err>where
Self: Sized + ApproxInto<Dst>,
Approximate the subject to a given type with the default scheme.
source§fn approx_as_by<Dst, Scheme>(self) -> Result<Dst, Self::Err>
fn approx_as_by<Dst, Scheme>(self) -> Result<Dst, Self::Err>
Approximate the subject to a given type with a specific scheme.
source§impl<T> IntoEither for T
impl<T> IntoEither for T
source§fn into_either(self, into_left: bool) -> Either<Self, Self>
fn into_either(self, into_left: bool) -> Either<Self, Self>
Converts
self
into a Left
variant of Either<Self, Self>
if into_left
is true
.
Converts self
into a Right
variant of Either<Self, Self>
otherwise. Read moresource§fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>
fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>
Converts
self
into a Left
variant of Either<Self, Self>
if into_left(&self)
returns true
.
Converts self
into a Right
variant of Either<Self, Self>
otherwise. Read more