Spot-fixing typos in documentation.
" having type signatures, etc. This generally requires some form of a\n",
" decorator.\n",
"\n",
- "* In addition, TFF needs the ability for to be able to accept data streams\n",
- " (represented as `tf.data.Dataset`s), such as streams of training example\n",
- " batches in machine learning applications, as either inputs or outputs. This\n",
- " capability currently does not exist; the `tff.tf_computation` decorator\n",
- " offers partial (and for now still experimental) support for it.\n",
+ "* In addition, TFF needs the ability for computations to be able to accept\n",
+ " data streams (represented as `tf.data.Dataset`s), such as streams of\n",
+ " training example batches in machine learning applications, as either inputs\n",
+ " or outputs. This capability currently does not exist in TensorFlow; the\n",
+ " `tff.tf_computation` decorator offers partial (and for now still\n",
+ " experimental) support for it.\n",
"\n",
"In general, we recommend using TensorFlow's native mechanisms for composition,\n",
"such as `tf.contrib.eager.defun`, wherever possible, as the exact manner in\n",
