libact.labelers package¶

Submodules¶

libact.labelers.ideal_labeler module¶

Ideal/Noiseless labeler that returns true label

class libact.labelers.ideal_labeler.IdealLabeler(dataset, **kwargs)¶

Bases: libact.base.interfaces.Labeler

Provide the errorless/noiseless label to any feature vectors being queried.

Parameters:	dataset (Dataset object) – Dataset object with the ground-truth label for each sample.

label(feature)¶

Return the class labels for the input feature array.

Parameters:	feature (array-like, shape (n_features,)) – The feature vector whose label is to queried.
Returns:	label – The class label of the queried feature.
Return type:	int

libact.labelers.interactive_labeler module¶

Interactive Labeler

This module includes an InteractiveLabeler.

class libact.labelers.interactive_labeler.InteractiveLabeler(**kwargs)¶

Bases: libact.base.interfaces.Labeler

Interactive Labeler

InteractiveLabeler is a Labeler object that shows the feature through image using matplotlib and lets human label each feature through command line interface.

Parameters:	label_name (list) – Let the label space be from 0 to len(label_name)-1, this list corresponds to each label’s name.

label(feature)¶

Return the class labels for the input feature array.

Parameters:	feature (array-like, shape (n_features,)) – The feature vector whose label is to queried.
Returns:	label – The class label of the queried feature.
Return type:	int

Module contents¶

Concrete labeler classes.