adaptive.IntegratorLearner
- class adaptive.IntegratorLearner(*args, **kwargs)[source]
Bases:
adaptive.learner.base_learner.BaseLearner
- property approximating_intervals
- property err
- property igral
- loss(real=True)[source]
Return the loss for the current state of the learner.
- Parameters
real (bool, default: True) – If False, return the “expected” loss, i.e. the loss including the as-yet unevaluated points (possibly by interpolation).
- property npoints
Number of evaluated points.
- tell(point, value)[source]
Tell the learner about a single value.
- Parameters
x (A value from the function domain) –
y (A value from the function image) –