ओशिनोग्राफी में लीनियर मॉडल

# Import LinearRegression class, build a model, fit to the data
from sklearn.linear_model import ____
model = ____(fit_intercept=True)
model.fit(years, levels)

# Use model to make a prediction for one year, 2100
future_year = np.array(2100).reshape(1, -1)
future_level = model.predict(____)
print("Prediction: year = {}, level = {:.02f}".format(future_year, future_level[0,0]))

# Use model to predict for many years, and over-plot with measured data
years_forecast = np.linspace(1970, 2100, 131).reshape(-1, 1)
levels_forecast = model.predict(____)
fig = plot_data_and_forecast(years, levels, ____, ____)