deprecated example on categorical embeddings

[heyitskoma]

Hi, this comes from: https://github.com/fastai/courses/blob/master/deeplearning2/rossman.ipynb

the below code doesn't work using keras 2.0. Would anyone know what are the needed changes to get this to work?

def my_init(scale):
    return lambda shape, name=None: initializations.uniform(shape, scale=scale, name=name)

def emb_init(shape, name=None): 
    return initializations.uniform(shape, scale=2/(shape[1]+1), name=name)

def get_emb(feat):
    name, c = cat_map_info(feat)
    #c2 = cat_var_dict[name]
    c2 = (c+1)//2
    if c2>50: c2=50
    inp = Input((1,), dtype='int64', name=name+'_in')
    # , W_regularizer=l2(1e-6)
    u = Flatten(name=name+'_flt')(Embedding(c, c2, input_length=1, init=emb_init)(inp))
#     u = Flatten(name=name+'_flt')(Embedding(c, c2, input_length=1)(inp))
    return inp,u

def get_contin(feat):
    name = feat[0][0]
    inp = Input((1,), name=name+'_in')
    return inp, Dense(1, name=name+'_d', init=my_init(1.))(inp)