Struct SigmoidModelConfig

pub struct SigmoidModelConfig<F>
where
    F: FixedPointNumber,
{
    pub max_output: F,
    pub start_frac: F,
    pub end_frac: F,
    pub start_x: F,
    pub end_x: F,
}

Configuration for the SigmoidModel. Parameters define the maximum output and the growth phase range for the curve.

Fields

max_output: F

L - Maximum possible output of the sigmoid curve. This is the upper bound the curve approaches but never exceeds. Example: If L = 100, the curve will asymptotically approach 100.

start_frac: F

alpha - Starting fraction of max_output for the growth phase. Example: alpha = 0.10 means growth phase starts when output = 10% of L. If L = 100, this means growth starts at output = 10.

end_frac: F

beta - Ending fraction of max_output for the growth phase. Example: beta = 0.90 means growth phase ends when output = 90% of L. If L = 100, this means growth ends at output = 90.

start_x: F

x_alpha - Input value (stake, score, etc.) at which output = alpha * L. Marks the start point of the rapid growth region on the curve. Example: If x_alpha = 50 and alpha = 0.10, then at stake = 50 the output is 10% of L.

end_x: F

x_beta - Input value at which output = beta * L. Marks the end point of the rapid growth region on the curve. Example: If x_beta = 80 and beta = 0.90, then at stake = 80 the output is 90% of L.

Trait Implementations

impl<FixedPoint, Input> PurePluginModel<Input, SigmoidModelConfig<FixedPoint>, Input> for SigmoidModel

where Input: IntegerToFixed + FixedForInteger<FixedPoint = FixedPoint> + Zero, FixedPoint: FixedPointNumber + FixedSignedCast<Signed = FixedI128>,

fn compute( &self, input: Input, context: &SigmoidModelConfig<FixedPoint>, ) -> Input

Computes the model’s output for a given immutable input and context.