asreview.models.queriers.HybridMaxUncertainty#

class asreview.models.queriers.HybridMaxUncertainty(probability=0.95, u=None, proba=None, random_state=None)[source]#

Bases: QueryMixin, BaseEstimator

95% Maximum and 5% Uncertainty query strategy.

A mix of maximum and random query strategies with a mix ratio of 0.95. At each query 95% of the instances would be sampled with the maximum query strategy after which the remaining 5% would be sampled with the uncertainty query strategy.

Methods

__init__([probability, u, proba, random_state])

get_metadata_routing()

Get metadata routing of this object.

get_params([deep])

Get parameters for this estimator.

query(p)

Rank the instances of the feature matrix.

set_params(**params)

Set the parameters of this estimator.

Attributes

get_metadata_routing()#

Get metadata routing of this object.

Please check User Guide on how the routing mechanism works.

Returns:

routing (MetadataRequest) – A MetadataRequest encapsulating routing information.

get_params(deep=True)#

Get parameters for this estimator.

Parameters:

deep (bool, default=True) – If True, will return the parameters for this estimator and contained subobjects that are estimators.

Returns:

params (dict) – Parameter names mapped to their values.

label = 'Mixed (95% Maximum and 5% Uncertainty)'#
name = 'max_uncertainty'#
query(p)[source]#

Rank the instances of the feature matrix.

Parameters:

p (numpy.ndarray) – The probability of inclusion for each record in the feature matrix.

Returns:

numpy.ndarray – The QueryStrategy ranks the row numbers of the feature matrix. It returns an array of shape (len(X),) containing the row indices in ranked order.

set_params(**params)#

Set the parameters of this estimator.

The method works on simple estimators as well as on nested objects (such as Pipeline). The latter have parameters of the form <component>__<parameter> so that it’s possible to update each component of a nested object.

Parameters:

**params (dict) – Estimator parameters.

Returns:

self (estimator instance) – Estimator instance.