Available on crate feature
regression only.Expand description
Estimators derived from others, usual LinearEstimator.
These do not (for now) implement PowerEstimator nor ExponentialEstimator
because of the requirement of mutable slices instead of immutable ones.
See the docs on the items for more info about how they’re created.
Functions§
- exponential
- Fits a curve with the equation
y = a * b^x(optionally with an additional subtractive term if any outcome is < 1 and an additive to thexif any predictor is < 1). - exponential_
given_ min - Same as
exponentialwithout theClonerequirement for the iterators, but takes a min value. - exponential_
ols ols - Convenience-method for
exponentialusingOlsEstimator. - power
- Fits a curve with the equation
y = a * x^b(optionally with an additional subtractive term if any outcome is < 1 and an additive to thexif any predictor is < 1). - power_
given_ min - Same as
powerwithout theClonerequirement for the iterators, but takes a min value. - power_
ols ols - Convenience-method for
powerusingOlsEstimator.