__init__(estimator[, dtype, sparse]) |
| param estimator: |
|---|
| | scikit-learn classifier object. |
|
classify(featureset) |
| return: | the most appropriate label for the given featureset. |
|---|
|
classify_many(featuresets) |
Classify a batch of samples. |
labels() |
The class labels used by this classifier. |
prob_classify(featureset) |
| return: | a probability distribution over labels for the given |
|---|
|
prob_classify_many(featuresets) |
Compute per-class probabilities for a batch of samples. |
train(labeled_featuresets) |
Train (fit) the scikit-learn estimator. |
unicode_repr() |
|