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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 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 sklearn.datasets import load_boston
boston = load_boston()
cls = MALSS(boston.data, boston.target, task='regression')
cls.execute()
cls.make_report('regression_result')

Project details


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malss-0.0.1.zip (9.7 kB view hashes)

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