code: def test_prophet(daily_data):
      """Tests prophet estimator."""
      model = OneByOneEstimator(
          estimator="ProphetEstimator",
          forecast_horizon=3,
          estimator_map=[1, 2],
          coverage=None,
      )
      train_df = daily_data["train_df"]
      model.fit(
          train_df, time_col=cst.TIME_COL, value_col=cst.VALUE_COL
      )
  
file_path: greykite/greykite/tests/sklearn/estimator/test_one_by_one_estimator.py
imports: import datetime
  import sys
  import pandas
  import pytest
  from sklearn.metrics import mean_squared_error
  import greykite.common.constants
  from greykite.common.testing_utils import generate_df_for_tests
  from greykite.sklearn.estimator.one_by_one_estimator import OneByOneEstimator
  from greykite.sklearn.estimator.simple_silverkite_estimator import SimpleSilverkiteEstimator
label_desc: Use image node_id 4 for calling a global function with example usage: test_prophet(daily_data) without return types