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MAchine Learning Support System

malss is a python module to facilitate machine learning tasks. This module is written to be compatible with the scikit-learn algorithms and the other scikit-learn-compatible algorithms.

https://travis-ci.org/canard0328/malss.svg?branch=master

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 (>= 0.15)

  • matplotlib (>= 1.1)

  • pandas (>= 0.13)

  • jinja2 (>= 2.6)

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.

Installation

pip install malss

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')
cls.make_sample_code('classification_sample_code.py')

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')
cls.make_sample_code('regression_sample_code.py')

Change algorithm:

from malss import MALSS
from sklearn.datasets import load_iris
iris = load_iris()
cls = MALSS(iris.data, iris.target, task='classification')
algorithms = cls.get_algorithms()
# check algorithms here
cls.remove_algorithm(0)
cls.add_algorithm(RF(n_jobs=3),
                  [{'n_estimators': [10, 30, 50],
                    'max_depth': [3, 5, None],
                    'max_features': [0.3, 0.6, 'auto']}],
                  'Random Forest')
cls.execute()
cls.make_report('classification_result')
cls.make_sample_code('classification_sample_code.py')

API

View the documentation here.

Metadata

Release files for malss 0.4.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distributions (sdists)

Source distribution for malss 0.4.2
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malss-0.4.2.tar.gz 121.5 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for malss 0.4.2
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malss-0.4.2.win-amd64.exe Details

Total release size: 513.6 kB

Release files / malss-0.4.2.zip

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