pub struct CurveParams<F>where
F: FixedPointNumber,{
pub l: F,
pub k: F,
pub x0: F,
}Expand description
Defines parameters for a logistic (sigmoid) curve used in piecewise reward modeling.
Concept: Logistic Curve Parameterization
The curve follows:
f(x) = L / (1 + e^(-k*(x - x0)))where:
L= maximum value (upper asymptote)k= steepness (growth rate; positive for a growing S-curve)x0= midpoint / inflection point
§Type Requirements
FixedPoint must implement [FixedSignedCast<Signed = FixedI128>].
Both unsigned and signed fixed-point types satisfy this bound. Signed
arithmetic (x - x0 when x < x0, and the negated exponent) is performed
in the concrete FixedI128 workspace and projected back.
Fields§
§l: FMaximum reward level (L): upper asymptotic bound of the curve
k: FSteepness factor (k): controls how sharply the curve transitions.
- k > 0: growing S-curve (output increases with x)
- k < 0: decaying S-curve (output decreases with x)
- k = 0: constant L/2 for all inputs
x0: FInflection point (x0): input value where the curve is steepest.
At x = x0: f(x0) = L / 2.
Implementations§
Source§impl<FixedPoint> CurveParams<FixedPoint>where
FixedPoint: FixedPointNumber + FixedSignedCast<Signed = FixedI128>,
impl<FixedPoint> CurveParams<FixedPoint>where
FixedPoint: FixedPointNumber + FixedSignedCast<Signed = FixedI128>,
Sourcepub fn evaluate(&self, x: FixedPoint) -> FixedPoint
pub fn evaluate(&self, x: FixedPoint) -> FixedPoint
Evaluates the logistic curve at input x.
Formula
f(x) = L / (1 + e^(-k*(x - x0)))Signed intermediates (x - x0, k*(x - x0), and its negation) are
computed in FixedI128 via FixedSignedCast so the method works
correctly for both signed and unsigned FixedPoint types..
Auto Trait Implementations§
impl<F> Freeze for CurveParams<F>where
F: Freeze,
impl<F> RefUnwindSafe for CurveParams<F>where
F: RefUnwindSafe,
impl<F> Send for CurveParams<F>where
F: Send,
impl<F> Sync for CurveParams<F>where
F: Sync,
impl<F> Unpin for CurveParams<F>where
F: Unpin,
impl<F> UnwindSafe for CurveParams<F>where
F: UnwindSafe,
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