class_docstr: Simple Tensorizer that splits a sentence on spaces and create tensors
  from the vocabulary index built on the training data.
code: def from_config(cls, config: Config):
      return cls(column=config.column)
  
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 1 for calling the MyWordTensorizer obj's underlying member method code with example usage: obj.from_config(cls, config) and returns: cls