@staticmethod<EOL><INDENT>def get_model(input_dim):<DEDENT>
from keras.models import Sequential<EOL>from keras.layers import Dense<EOL>model = Sequential()<EOL>model.add(Dense(<NUM_LIT:100>, input_dim=input_dim, activation='<STR_LIT>'))<EOL>model.add(Dense(<NUM_LIT:1>))<EOL>model.compile(loss='<STR_LIT>', optimizer='<STR_LIT>')<EOL>return model<EOL>
Create and compile simple model.