title: Error with Pipeline for fourier featurizer
body: <pre><code>from pmdarima.pipeline import Pipeline
  from pmdarima.preprocessing import FourierFeaturizer
  
  pipeline = Pipeline([
      (&quot;fourier_1&quot;, FourierFeaturizer(m=7, k=1)),
      (&quot;fourier_2&quot;, FourierFeaturizer(m=14, k=1)),
  ])
  
  pipeline.fit_transform(df['value'])
  </code></pre>
  <p>When I run above code. I get following error: <code>TypeError: Last step of Pipeline should be of type BaseARIMA. 'FourierFeaturizer(k=1, m=14)'</code></p>
  <p>I don't wish to use BaseARIMA. Just wish to use FourierFeaturizer is it possible?</p>