Skerrorlearner is an Error Learning Package for Machine Learning
Project description
skerrorlearner is a Python library which learns error to produce another model that can be used to predict the error that may occur. It uses numpy, pandas, scikit-learn, xgboost, ligtgbm and catboost for the same.
Installation
Using pip
Use the package manager pip to install skerrorlearner.
pip install skerrorlearner
Initialization
from skerrorlearner.learn_error import LearnRegressionError
from skerrorlearner.learn_error import LearnClassificationError
from skerrorlearner.learn_error import ProductionPredictionGeneration
#initialise a skerrorlearner instance
lre = LearnRegressionError(rdf_train.copy(), rdf_val.copy(), rdf_test.copy(), feat.copy(), 'cnt', lgbm, 'rmse', True)
lce = LearnClassificationError(cdf_train.copy(), cdf_val.copy(), cdf_test.copy(), feat.copy(), 'income', cat,'accuracy', 'binary', 'macro', True, True)
cdf_ppg = ProductionPredictionGeneration()
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