Classifier
- nearest mean classifier
- Euclidean distance classifier
- naive bayes classifier
- quadratic discriminant classifier (QDA)
- regularized discriminant classifier (RDA)
Feature Selection
- Relief
- Forward Selection with Gram-Schmidt Orthogonalization
Ensamble
Multiclass
- one-against-rest
- one-against-one
New Abstraction Layer
- Learner (learn(x, y=None))
- Predictor (pred(t))
- Classifier
- LinearClassifier (w() and bias())
- Regressor
- LinearRegressor (beta() and beta0())
- Reducer (transform(t, k=None))
Clustering algorithms from Learner?
Various
- Force kernel parameters in kernel algorithms?