estimator¶

Defines estimators which estimate a model’s ability to represent the data.

All estimators have to implement the Estimator interface.

class UnbinnedNLL(model, dataset)[source]¶

Unbinned negative log likelihood estimator.

Parameters

model (Function) – A model that should be compared to the dataset.
dataset (dict) – The dataset used for the comparison. The model has to be evaluateable with this dataset.

__call__()[source]¶

Evaluate discrepancy.

gradient()[source]¶

Compute the gradient of the data set.

property parameters¶

Get dict of parameters.

update_parameters(new_parameters)[source]¶

Update the collection of parameters.