code: def _partial_fit(model, x, y, kwargs=None):
      kwargs = kwargs or dict()
      model.partial_fit(x, y, **kwargs)
      return model
  
file_path: dask-ml/dask_ml/_partial.py
imports: from __future__ import absolute_import, division, print_function
  import logging
  import os
  import dask
  import numpy
  import sklearn.utils
  from dask.delayed import Delayed
  from dask.highlevelgraph import HighLevelGraph
  from toolz import partial
  from ._compat import DASK_2022_01_0
label_desc: Use image node_id 1 for calling a global function with example usage: _partial_fit(model, x, y, kwargs) and returns: model