<jupyter_start><jupyter_text>ECM-EB Example<jupyter_code>import pandas as pd
import datetime
from pathlib import Path
from tadpole_algorithms.models import ECMEB

train_set_path = Path("data/TADPOLE_D1_D2.csv")
test_set_path = Path("data/tadpole_test_set.csv")

train_df = pd.read_csv(train_set_path)

test_set_df = pd.read_csv(test_set_path)
test_set_df = test_set_df.fillna(0)

model = ECMEB(confidence_intervals=False)
model.train(train_df)

forecast_df = model.predict(test_set_df)
from tadpole_algorithms.evaluation import evaluate_forecast
eval_set_df = pd.read_csv('data/TADPOLE_D4_corr.csv')

evaluate_forecast(eval_set_df, forecast_df)<jupyter_output>[[ 0 86  0]
 [ 0 92  0]
 [ 0 32  0]]