In [1]:

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

	Id	Purchase	WeekofPurchase	StoreID	PriceCH	PriceMM	DiscCH	DiscMM	SpecialMM	LoyalCH	SalePriceMM	SalePriceCH	PriceDiff	Store7	PctDiscMM	PctDiscCH	ListPriceDiff	STORE
0	1	CH	237	1	1.75	1.99	0.00	0.0	0	0.500000	1.99	1.75	0.24	No	0.000000	0.000000	0.24	1
1	2	CH	239	1	1.75	1.99	0.00	0.3	1	0.600000	1.69	1.75	-0.06	No	0.150754	0.000000	0.24	1
2	3	CH	245	1	1.86	2.09	0.17	0.0	0	0.680000	2.09	1.69	0.40	No	0.000000	0.091398	0.23	1
3	4	MM	227	1	1.69	1.69	0.00	0.0	0	0.400000	1.69	1.69	0.00	No	0.000000	0.000000	0.00	1
4	5	CH	228	7	1.69	1.69	0.00	0.0	0	0.956535	1.69	1.69	0.00	Yes	0.000000	0.000000	0.00	0

In [2]:

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

In [3]:

data.head()

Out[3]:

	Id	WeekofPurchase	StoreID	PriceCH	PriceMM	DiscCH	DiscMM	SpecialMM	LoyalCH	SalePriceMM	SalePriceCH	PriceDiff	Store7	PctDiscMM	PctDiscCH	ListPriceDiff	STORE
0	1	237	1	1.75	1.99	0.00	0.0	0	0.500000	1.99	1.75	0.24	No	0.000000	0.000000	0.24	1
1	2	239	1	1.75	1.99	0.00	0.3	1	0.600000	1.69	1.75	-0.06	No	0.150754	0.000000	0.24	1
2	3	245	1	1.86	2.09	0.17	0.0	0	0.680000	2.09	1.69	0.40	No	0.000000	0.091398	0.23	1
3	4	227	1	1.69	1.69	0.00	0.0	0	0.400000	1.69	1.69	0.00	No	0.000000	0.000000	0.00	1
4	5	228	7	1.69	1.69	0.00	0.0	0	0.956535	1.69	1.69	0.00	Yes	0.000000	0.000000	0.00	0

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)

---------------------------------------------------------------------------
FileNotFoundError                         Traceback (most recent call last)
<ipython-input-6-64ada9a45af4> in <module>
      1 from pycaret.classification import load_model, predict_model
----> 2 l = load_model('dsc123', platform = 'aws', authentication = {'bucket' : 'pycaret-test'})
      3 predict_model(l, data=data)

~\Anaconda3\lib\site-packages\pycaret\classification.py in load_model(model_name, platform, authentication, verbose)
   2161         platform=platform,
   2162         authentication=authentication,
-> 2163         verbose=verbose,
   2164     )
   2165 

~\Anaconda3\lib\site-packages\pycaret\internal\tabular.py in load_model(model_name, platform, authentication, verbose)
   9013 
   9014     return pycaret.internal.persistence.load_model(
-> 9015         model_name, platform, authentication, verbose
   9016     )
   9017 

~\Anaconda3\lib\site-packages\pycaret\internal\persistence.py in load_model(model_name, platform, authentication, verbose)
    391             s3.Bucket(bucketname).download_file(key, filename)
    392 
--> 393         model = load_model(filename, verbose=False)
    394 
    395         if verbose:

~\Anaconda3\lib\site-packages\pycaret\internal\persistence.py in load_model(model_name, platform, authentication, verbose)
    371         if verbose:
    372             print("Transformation Pipeline and Model Successfully Loaded")
--> 373         return joblib.load(model_name)
    374 
    375     # cloud providers

~\Anaconda3\lib\site-packages\joblib\numpy_pickle.py in load(filename, mmap_mode)
    575             obj = _unpickle(fobj)
    576     else:
--> 577         with open(filename, 'rb') as f:
    578             with _read_fileobject(f, filename, mmap_mode) as fobj:
    579                 if isinstance(fobj, str):

FileNotFoundError: [Errno 2] No such file or directory: 'dsc123.pkl.pkl'

In [ ]:

print(l)

In [ ]: