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 thex
if any predictor is < 1). - exponential_
given_ min - Same as
exponential
without theClone
requirement for the iterators, but takes a min value. - exponential_
ols ols
- Convenience-method for
exponential
usingOlsEstimator
. - 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 thex
if any predictor is < 1). - power_
given_ min - Same as
power
without theClone
requirement for the iterators, but takes a min value. - power_
ols ols
- Convenience-method for
power
usingOlsEstimator
.