function multiLayerPerceptronRegressionModel1Hidden() {
  const model = tf.sequential();
  model.add(tf.layers.dense({
    inputShape: [bostonData.numFeatures],
    units: 50,
    activation: 'sigmoid',
    kernelInitializer: 'leCunNormal'
  }));
  model.add(tf.layers.dense({units: 1}));

  model.summary();
  return model;
}
Builds and returns Multi Layer Perceptron Regression Model
with 1 hidden layer, each with 10 units activated by sigmoid.

@returns {tf.Sequential} The multi layer perceptron regression model.