train, test = train_test_split(data, test_size=0.2)
train_model_input = [train[name] for name in fixlen_feature_names]
test_model_input = [test[name] for name in fixlen_feature_names]
// 4.Define Model,train,predict and evaluate
model = DeepFM(linear_feature_columns,dnn_feature_columns, task="binary")
After Change
train, test = train_test_split(data, test_size=0.2)
train_model_input = {name:train[name] for name in feature_names}
test_model_input = {name:test[name] for name in feature_names}
// 4.Define Model,train,predict and evaluate
model = DeepFM(linear_feature_columns,dnn_feature_columns, task="binary")
