Avoid Spark connect ML model to change input pandas dataframe

Currently, to avoid data copy, Spark connect ML model directly changes input pandas dataframe for appending prediction columns. But we can use `pandas_df.copy(deep=False)` to shallow copy it and then append prediction columns in copied dataframe. This is easier for user to use it.