code: def test_no_partial_fit_raises():
      X, y = make_classification(chunks=50)
      with pytest.raises(ValueError, match="RandomForestClassifier"):
          fit(RandomForestClassifier(), X, y)
  
imports: import dask
  import dask.array
  import dask.bag
  import dask.dataframe
  import numpy
  import pandas
  import pytest
  from dask.delayed import Delayed
  from sklearn.base import clone
  from sklearn.ensemble import RandomForestClassifier
  from sklearn.linear_model import SGDClassifier
  import dask_ml.feature_extraction.text
  from dask_ml._partial import fit, predict
  from dask_ml.datasets import make_classification
  from dask_ml.wrappers import Incremental
label_desc: Use image node_id 7 for calling a global function with example usage: test_no_partial_fit_raises() without return types