- label_nsv() (mlpy.mlpy.LibSvm.LibSvm method)
- labels() (mlpy.DLDA method)
- (mlpy.ElasticNetC method)
- (mlpy.Golub method)
- (mlpy.KFDAC method)
- (mlpy.LDAC method)
- (mlpy.Parzen method)
- (mlpy.Perceptron method)
- (mlpy.mlpy.ClassTree.ClassTree method)
- (mlpy.mlpy.KNN.KNN method)
- (mlpy.mlpy.LibLinear.LibLinear method)
- (mlpy.mlpy.LibSvm.LibSvm method)
- (mlpy.mlpy.MaximumLikelihoodC.MaximumLikelihoodC method)
- LARS (class in mlpy)
- lars_base() (in module mlpy)
- LDA (class in mlpy)
|
- LDAC (class in mlpy)
- learn() (mlpy.DLDA method)
- (mlpy.ElasticNet method)
- (mlpy.ElasticNetC method)
- (mlpy.Golub method)
- (mlpy.IRelief method)
- (mlpy.KFDA method)
- (mlpy.KFDAC method)
- (mlpy.KPCA method)
- (mlpy.KernelRidge method)
- (mlpy.LARS method)
- (mlpy.LDA method)
- (mlpy.LDAC method)
- (mlpy.OLS method)
- (mlpy.PCA method)
- (mlpy.PCAFast method)
- (mlpy.PLS method)
- (mlpy.Parzen method)
- (mlpy.Perceptron method)
- (mlpy.Ridge method)
- (mlpy.SRDA method)
- (mlpy.mlpy.ClassTree.ClassTree method)
- (mlpy.mlpy.KNN.KNN method)
- (mlpy.mlpy.KernelAdatron.KernelAdatron method)
- (mlpy.mlpy.LibLinear.LibLinear method)
- (mlpy.mlpy.LibSvm.LibSvm method)
- (mlpy.mlpy.MaximumLikelihoodC.MaximumLikelihoodC method)
- linkage() (mlpy.HCluster method)
- (mlpy.MFastHCluster method)
- load_model() (mlpy.mlpy.LibLinear.LibLinear static method)
- (mlpy.mlpy.LibSvm.LibSvm static method)
- loops() (mlpy.IRelief method)
|