Copy miml folder into MeteoInfo -> toolbox folder.

Machine learning algorithms of classification, regression, clustering based on Smile, and neural network model based on Encog.

K-Means clustering:

from miml import datasets
from miml.cluster import KMeans

fn = os.path.join(datasets.get_data_home(), 'clustering', 'gaussian', 
    'six.txt')
df = DataFrame.read_table(fn, header=None, names=['x1','x2'], 
    format='%2f')
x = df.values
clusters = KMeans(x, 6, runs=20)
y = clusters.get_cluster_label()

scatter(x[:,0], x[:,1], c=y, edgecolor=None, s=3)
title('K-Mean clustering example')    

Learn more about MeteoInfo in its official documentation at http://meteothink.org/

Copyright 2019, miml Developers

Licensed under the LGPL License, Version 3.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

http://www.gnu.org/licenses/lgpl.html

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.