Train multiple classifiers/pipelines
Project description
HyperclassifierSearch
General info
HyperclassifierSearch allows to train multiple classifiers/pipelines in Python with GridSearchCV or RandomizedSearchCV.
Installation
pip install HyperclassifierSearch
Requirements
The code was developed in Python 3. The execution needs Pandas and scikit-learn, i.e. GridSearchCV and RandomizedSearchCV.
Enhancements and credits
The package is build based on code from David Batista.
- documentation enhancements:
- examples how to search the best model over multiple Pipelines using different classifiers
- added code documentation including docstrings
- functionality enhancements:
- added option to use RandomizedSearchCV
- the best overall model is provided by train_model()
- output dataframe is simplified as standard option
Examples
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