MALSS: MAchine Learning Support System
Project description
malss is a python module to facilitate system development using machine learning algorithms.
Requirements
These are external packages which you will need to install before installing malss.
python (>= 2.7, 3.x’s are not supported)
numpy (>= 1.6.1)
scipy (>= 0.9)
scikit-learn (>= 0.14)
matplotlib (>= 1.3)
pandas (>= 0.13)
jinja2 (>= 2.7)
Windows
If there are no binary packages matching your Python version you might to try to install these dependencies from Christoph Gohlke Unofficial Windows installers.
Example
Classification:
from malss import MALSS from sklearn.datasets import load_iris iris = load_iris() cls = MALSS(iris.data, iris.target, task='classification') cls.execute() cls.make_report('classification_result')
Regression:
from malss import MALSS from sklearn.datasets import load_boston boston = load_boston() cls = MALSS(boston.data, boston.target, task='regression') cls.execute() cls.make_report('regression_result')
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malss-0.0.2.zip
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