pystra.active_learning.surrogates.EnsembleSurrogate#
Use it: User guide · Worked example · Theory
- class EnsembleSurrogate[source]#
Bases:
SurrogateA surrogate that also exposes row-wise replicate predictions.
Methods
Fit finite scalar observations, shape (n_samples,).
Return finite mean and nonnegative std arrays, each (n_samples,).
Return (n_points, n_replicates>=2) finite response predictions.
- abstractmethod predict_replicates(points)[source]#
Return (n_points, n_replicates>=2) finite response predictions.
- Return type:
ndarray
- abstractmethod fit(points, values)#
Fit finite scalar observations, shape (n_samples,).
- Return type:
None
- abstractmethod predict(points)#
Return finite mean and nonnegative std arrays, each (n_samples,).
- Return type:
tuple