In [1]:

    

%store


    

    




Stored variables and their in-db values:
my_var             -> 'my variable'

In [2]:

    

%store -r my_var
my_var


    

    
Out[2]:





'my variable'

In [3]:

    

from sklearn.linear_model import LinearRegression
model = LinearRegression()


    

In [4]:

    

%store model
del model


    

    




Stored 'model' (LinearRegression)

In [5]:

    

%store -r model


    

In [6]:

    

%store


    

    




Stored variables and their in-db values:
model              -> LinearRegression(copy_X=True, fit_intercept=True, 
my_var             -> 'my variable'

In [7]:

    

model


    

    
Out[7]:





LinearRegression(copy_X=True, fit_intercept=True, n_jobs=1, normalize=False)

In [8]:

    

%store -d model


    

In [ ]: