#!/usr/bin/env python
# coding: utf-8

# In[1]:


from pycaret.datasets import get_data
data = get_data('juice')


# In[2]:


data.drop('Purchase', axis = 1, inplace=True)


# In[3]:


data.head()


# In[6]:


from pycaret.classification import load_model, predict_model
l = load_model('dsc123', platform = 'aws', authentication = {'bucket' : 'pycaret-test'})
predict_model(l, data=data)


# In[ ]:





# In[ ]:


print(l)


# In[ ]:





# In[ ]: