class_docstr: Provides common code for text vectorizers (tokenization logic).
class_docstr_tok: ["Provides","common","code","for","text","vectorizers","(","tokenization","logic",")","."]
code: def _warn_for_unused_params(self):
      if self.analyzer != "word" and self.stop_words is not None:
          logger.warn(
              "The parameter 'stop_words' will not be used"
              " since 'analyzer' != 'word'"
          )
  
imports: from cuml.internals.safe_imports import cpu_only_import
  import cuml.internals.logger
  from cudf.utils.dtypes import min_signed_type
  from cuml.internals.type_utils import CUPY_SPARSE_DTYPES
  import numbers
  from cuml.internals.safe_imports import gpu_only_import
  from functools import partial
  from cuml.common.sparsefuncs import create_csr_matrix_from_count_df
  from cuml.common.sparsefuncs import csr_row_normalize_l1, csr_row_normalize_l2
  from cuml.feature_extraction._stop_words import ENGLISH_STOP_WORDS
  from cuml.common.exceptions import NotFittedError
  from cuml.internals.safe_imports import gpu_only_import_from
label_desc: Use image node_id 9 for calling the _VectorizerMixin obj's underlying member method code with example usage: obj._warn_for_unused_params() without return types