class_docstr: Simple Tensorizer that splits a sentence on spaces and create tensors
  from the vocabulary index built on the training data.
code: def __init__(self, column):
      self.column = column
      self.vocab = None
  
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 2 to create a new MyWordTensorizer object from inherited base classes: Tensorizer with example: obj = MyWordTensorizer(column)