acton package

Submodules

acton.acton module

acton.cli module

acton.database module

acton.kde_predictor module

A predictor that uses KDE to classify instances.

class acton.kde_predictor.KDEClassifier(bandwidth=1.0)[source]

Bases: BaseEstimator, ClassifierMixin

A classifier using kernel density estimation to classify instances.

fit(X, y)[source]

Fits kernel density models to the data.

Parameters:
  • X (array_like, shape (n_samples, n_features)) – List of n_features-dimensional data points. Each row corresponds to a single data point.
  • y (array-like, shape (n_samples,)) – Target vector relative to X.
predict(X)[source]

Predicts class labels.

Parameters:X (array_like, shape (n_samples, n_features)) – List of n_features-dimensional data points. Each row corresponds to a single data point.
predict_proba(X)[source]

Predicts class probabilities.

Class probabilities are normalised log densities of the kernel density estimates.

Parameters:X (array_like, shape (n_samples, n_features)) – List of n_features-dimensional data points. Each row corresponds to a single data point.

acton.labellers module

acton.plot module

acton.predictors module

acton.recommenders module

Module contents