Class RegressionConformalInterval<TOutput>
Represents a conformal prediction interval for regression-style outputs.
public sealed class RegressionConformalInterval<TOutput>
Type Parameters
TOutputThe output type (e.g.,
Tensor<T>,Vector<T>, or scalar type).
- Inheritance
-
RegressionConformalInterval<TOutput>
- Inherited Members
Remarks
The interval is typically computed as [prediction - q, prediction + q] where q is a quantile of calibration residuals.
For Beginners: Instead of a single number, you get a range where the true value is likely to fall.
Constructors
RegressionConformalInterval(TOutput, TOutput)
Initializes a new instance of the RegressionConformalInterval<TOutput> class.
public RegressionConformalInterval(TOutput lower, TOutput upper)
Parameters
lowerTOutputLower bound.
upperTOutputUpper bound.
Properties
Lower
Gets the lower bound of the interval.
public TOutput Lower { get; }
Property Value
- TOutput
Upper
Gets the upper bound of the interval.
public TOutput Upper { get; }
Property Value
- TOutput