title: PyCaret predict_model() method fails with Pipeline not Found error
body: <p>I have trained my pycaret model locally and then later on I pushed it to S3. Now I want to run a predict_model() method on my bigger production datasets.</p>
  <p>Using boto3 I copy my model pickle file from S3 to a master node of my Spark EMR cluster. Then I import the library using</p>
  <p><code>from pycaret.classification import *</code></p>
  <p>And try to apply my predictions as below -</p>
  <pre><code>model_path = '/tmp/catboost_model_aug19'
  saved_model = load_model(model_path)  
  Transformation Pipeline and Model Successfully Loaded
  new_data = spark.sql(&quot;select * from table&quot;).toPandas()
  df = predict_model(saved_model, data = new_data)
  </code></pre>
  <p>When I run the <code>predict_model()</code> it errors out saying <code>Pipeline not found</code></p>
  <p>Alternatively, when I run the same code on my local machine it works fine. How do I resolve this error ?</p>