fasttext_plus_continous_keras.py

inp = Input(shape=(maxlen,), name="text_input") # featureized text comes in here
x = Embedding(embedding_matrix.shape[0], embed_size, weights=[embedding_matrix], trainable=True)(inp)
x = Dense(some_num_here, activation="relu")(x)
  
extra_data = Input(shape=(1,), name="extra_data")  # your continous features comes in here

combined = concatenate([x, extra_data])

# maybe some ReLu + Dropout here


out = Dense(num_classes, activation="sigmoid")(combined)

model = Model(inputs=[inp, extra_data], outputs=out)
model.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy'])