code: def test_get_default_benchmark_silverkite_parameters():
      silverkite_parameters = (
          get_default_benchmark_silverkite_parameters()
      )
  
      assert silverkite_parameters["fit_algorithms"] == (
          "linear",
          "lasso",
          "ridge",
          "rf",
          "sgd",
      )
      assert silverkite_parameters["max_cvs"] == [3]
  
file_path: greykite/greykite/tests/framework/benchmark/test_benchmark_template.py
imports: import os
  from greykite.common.data_loader import DataLoader
  from greykite.common.evaluation import EvaluationMetricEnum
  from greykite.common.testing_utils import generate_df_for_tests
  from greykite.framework.benchmark.benchmark_template import benchmark_silverkite_template
  from greykite.framework.benchmark.benchmark_template import get_default_benchmark_parameters
  from greykite.framework.benchmark.benchmark_template import get_default_benchmark_real_datasets
  from greykite.framework.benchmark.benchmark_template import get_default_benchmark_silverkite_parameters
  from greykite.framework.benchmark.benchmark_template import get_default_benchmark_simulated_datasets
  from greykite.framework.templates.autogen.forecast_config import EvaluationMetricParam
  from greykite.framework.templates.autogen.forecast_config import MetadataParam
label_desc: Use image node_id 5 for calling a global function with example usage: test_get_default_benchmark_silverkite_parameters() without return types