#!/usr/bin/env python
"""
This is an autogenerated file that allows convenient imports of mlpack
functionality.

mlpack is free software; you may redistribute it and/or modify it under the
terms of the 3-clause BSD license.  You should have received a copy of the
3-clause BSD license along with mlpack.  If not, see
http://www.opensource.org/licenses/BSD-3-Clause for more information.
"""
from .test_python_binding import test_python_binding
from .adaboost import adaboost
from .approx_kfn import approx_kfn
from .bayesian_linear_regression import bayesian_linear_regression
from .cf import cf
from .dbscan import dbscan
from .decision_stump import decision_stump
from .decision_tree import decision_tree
from .det import det
from .emst import emst
from .fastmks import fastmks
from .gmm_train import gmm_train
from .gmm_generate import gmm_generate
from .gmm_probability import gmm_probability
from .hmm_train import hmm_train
from .hmm_loglik import hmm_loglik
from .hmm_viterbi import hmm_viterbi
from .hmm_generate import hmm_generate
from .hoeffding_tree import hoeffding_tree
from .kde import kde
from .kernel_pca import kernel_pca
from .kmeans import kmeans
from .lars import lars
from .linear_regression import linear_regression
from .linear_svm import linear_svm
from .lmnn import lmnn
from .local_coordinate_coding import local_coordinate_coding
from .logistic_regression import logistic_regression
from .lsh import lsh
from .mean_shift import mean_shift
from .nbc import nbc
from .nca import nca
from .knn import knn
from .kfn import kfn
from .nmf import nmf
from .pca import pca
from .perceptron import perceptron
from .preprocess_split import preprocess_split
from .preprocess_binarize import preprocess_binarize
from .preprocess_describe import preprocess_describe
from .preprocess_scale import preprocess_scale
from .preprocess_one_hot_encoding import preprocess_one_hot_encoding
from .image_converter import image_converter
from .radical import radical
from .random_forest import random_forest
from .krann import krann
from .softmax_regression import softmax_regression
from .sparse_coding import sparse_coding
__version__='3.4.2'
