class_docstr: Simple Tensorizer that splits a sentence on spaces and create tensors
  from the vocabulary index built on the training data.
code: def _tokenize(self, row):
      raw_text = row[self.column]
      return raw_text.split()
  
file_path: pytext/demo/examples/tensorizer.py
imports: from pytext.data.tensorizers import Tensorizer
  from pytext.data.utils import pad_and_tensorize, VocabBuilder
label_desc: Use image node_id 4 for calling the MyWordTensorizer obj's underlying member method code with example usage: obj._tokenize(row) and returns: raw_text