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import sys
import os
sys.path.append(os.path.dirname(os.getcwd()))


    

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from sklearn import datasets


    

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from pythia import Experiment


    

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exp = Experiment('http://localhost:5667/api/v1/', '573451f422dd9841aaec7ee3')


    

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# get's also changed on remote
exp.name = "Basic Test Example"
exp.description = "Comparing Ensemble Decision Tree Classifiers"


    

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gbModel = exp.create_model()
gbModel.name = "Gradient Boosting Classifier"

rfModel = exp.create_model()
rfModel.name = "Random Forest Classifier"


    

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iris = datasets.load_iris()


    

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from sklearn.ensemble import GradientBoostingClassifier, RandomForestClassifier


    

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