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//paip/script/util/thermal_linear.py
from sklearn.linear_model import LinearRegression import pandas as pd import pickle import glob if __name__ == '__main__': raw_df = pd.read_csv(glob.glob('./thermal_distance.csv')[0]) print(raw_df) X, y = raw_df[['maxValue', 'cDistance']], raw_df['sTemp'] line_fitter = LinearRegression() line_fitter.fit(X, y) print(line_fitter.predict(pd.DataFrame([(34., 3.)]))) with open('./thermal_linear.pkl', 'wb') as f: pickle.dump(line_fitter, f)