Piecewise linear regressions, based on model trees.
Project description
Pycewise
Installation
From a wheel (recommended)
pip install pycewise
Optional requirements
The main functionnality of this package (computing a segmented linear regression) can be used without any third-party code.
For additional features, the following packages should be installed (pip install <package_name>):
- numpy
- statsmodels
- jupyter
- matplotlib
- graphviz
- coverage
- mock
- palettable
Usage
Basic example:
from pycewise import *
import pandas
df = pandas.read_csv('test_data/ringrong_loopback.csv').groupby('size').mean().reset_index()
reg = compute_regression(df['size'], df['duration'], mode='log')
print(reg)
For more advanced usage, see the notebooks.
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