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import sys
sys.path.append("../code/")
import machine_learning_model
import pandas as pd

# This is the example to show how we use different model to fit our data.

data = pd.read_csv('../../../documentation/data/DescriptorsDataset.csv')

# 1. Multiple linear regression

MLR_score = machine_learning_model.Multiple_Linear_Model(data)

# 2. Polynomial regression

PLM_score = machine_learning_model.Polynomial_Model(data)

# 3. Random forest regression

RFR_score = machine_learning_model.Random_Forest_Model(data)

# 4. Neural network model

NNM_score = machine_learning_model.neural_network_model(data)



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