utils module

probabilistic_model.utils.df_processor(df, temp_col, stress_col)[source]

Basic processing for streamlit app

Return type:: tuple[DataFrame, dict]

probabilistic_model.utils.fatigue_crack_preprocess_df(df, temp_col, c_col, m_col, krange_col, r_ratio_col)[source]

probabilistic_model.utils.median_rank(n, i)[source]

Function to compute cumulative probability using Benard’s median rank formula

Return type:: float