how assign Label for images using label propagation?

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I assume that some labeled data are unlabeled, which labels are set as -1.

Using Label propagation in scikit-learning leads to assign label.

labelpropagation.fit(x_feature,y_class) with X_feature (Color, hog, gist, sift Feature).

Questions:

Is my understanding right?

scikit-learn
1 Answers

Yes, In sci-kit, the unlabelled data is indicated using the label -1. This may involve:

  1. using actual unlabelled-data (In case of semi-supervised learning)
  2. Using test/dev set of the dataset as unlabelled data. (To verify model performaces)

In either of the cases, the data is appended as part of training-set by setting the labels as -1. Thus, label propagation algorithm propagates the labels from the labelled nodes to these unlabelled nodes.

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