title: Convert 2D numpy array to Tensorflow Dataset
body: <p>I have a numpy array of the shape (n, 12) representing the input datapoints of my data, of floating point formal, and a numpy array of shape (n,) containing the labels of the datapoints (integer). </p>
  
  <p>However, I can't work out how to convert it into a tensorflow dataset - the guide method throws an error:</p>
  
  <p>Offending line of code is <code>dataset= tf.data.Dataset.from_tensor_slices((features, labels))</code> giving an error <code>TypeError: Expected binary or unicode string, got Decimal('0.4367')</code></p>
  
  <p>Thanks</p>