This package contains the inference implementation (Gibbs Sampler) for the "Physically Consistent Bayesian Non-Parametric Mixture Model" (PC-GMM) proposed in [1]. This approach is used to ...
df.loc[len(df)-1, new_col_name] = df.loc[len(df)-1, col_name] / (1 + df.loc[len(df)-1, rates_col])**n for i in reversed(range(len(df)-1 )): df.loc[i, new_col_name ...
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