parameters: (data)
docstring: Extract data from dask.Series or dask.DataFrame for predictors.
  
    Given a distributed dask.DataFrame or dask.Series containing columns or names
    for one or more predictors, this operation returns a single dask.DataFrame or
    dask.Series that can be iterated over.
  
    Args:
      data: A distributed dask.DataFrame or dask.Series.
  
    Returns:
      A dask.DataFrame or dask.Series that can be iterated over.
      If the supplied argument is neither a dask.DataFrame nor a dask.Series this
      operation returns it without modification.
docstring_summary: Extract data from dask.Series or dask.DataFrame for predictors.
docstring_tokens: Extract data from dask . Series or dask . DataFrame for predictors .
function: def extract_dask_data(data):
    """Extract data from dask.Series or dask.DataFrame for predictors.
  
    Given a distributed dask.DataFrame or dask.Series containing columns or names
    for one or more predictors, this operation returns a single dask.DataFrame or
    dask.Series that can be iterated over.
  
    Args:
      data: A distributed dask.DataFrame or dask.Series.
  
    Returns:
      A dask.DataFrame or dask.Series that can be iterated over.
      If the supplied argument is neither a dask.DataFrame nor a dask.Series this
      operation returns it without modification.
    """
    if isinstance(data, allowed_classes):
      return _construct_dask_df_with_divisions(data)
    else:
      return data
function_tokens: def extract_dask_data ( data ) : if isinstance ( data , allowed_classes ) : return _construct_dask_df_with_divisions ( data ) else : return data