regrex

regression made easy with regrex !


Keywords
regress, simple, regrex
License
MIT
Install
pip install regrex==1.3

Documentation

regrex

Get up and running with regrex


Install using pip

pip install regrex

Or, if you have using pip3

pip3 install regrex


Usage

Linear regrex model

from regrex.linear_model import Linear

linearmodel = Linear()

Polynomial regrex model

from regrex.polynomial_model import Polynomial

linearmodel = Polynomial()

Data preprocessing

from regrex.preprocess import preprocess

x = preprocess([1, 2, 3])

Model statistics

from regrex.statistics import score, intercept, coef

print(score(linearmodel, x, y))

print(intercept(linearmodel)

print(coef(linearmodel))

Transform

from regrex.transform import Transform

transformer = Transform()

tansformer.initTransformer(2, false)

x_ = transformer.transform(x)

Predict

from regrex.prediction import Predict

print(Predict(linearmodel, val))


© Rushan 2020