today.py

# stick our data in a dataframe:
df = pd.DataFrame({'x': x, 'y': y});

# use 20% of our data for validation:
valid_idx = random.sample(list(df.index), int(0.2 * len(df)));

# what we're predicting:
dep_var = 'y'

# we don't have any categorical variables:
cat_names = []

# create a FastAI TabularDataBunch
data = TabularDataBunch.from_df(df=df, 
                                dep_var=dep_var, 
                                valid_idx=valid_idx, 
                                cat_names=cat_names, 
                                path=path, 
                                bs=64,
                                procs=[])