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.
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)
| File | Size | Uploaded | |
|---|---|---|---|
| malss-0.4.2.zip | 149.5 kB | Details | |
| malss-0.4.2.tar.gz | 121.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| malss-0.4.2.win-amd64.exe | Details |
Total release size: 513.6 kB
Release files / malss-0.4.2.zip
| Download URL | malss-0.4.2.zip |
|---|---|
| Size | 149.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / malss-0.4.2.tar.gz
| Download URL | malss-0.4.2.tar.gz |
|---|---|
| Size | 121.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / malss-0.4.2.win-amd64.exe
| Download URL | malss-0.4.2.win-amd64.exe |
|---|---|
| Size | 242.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |