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WebJan 21, 2024 · If you want to use transformer anyway. Get np.array from the dataframe using values attribute, pass it through the pipeline and recreate columns and indices from the array like this: pd.DataFrame (data=your_array, index=np.arange (len (your_array)), columns= ["A", "B"]) There is one caveat of this aprroach though; you will not know the names of ... WebFor example, it predicted health measures such as number of bed days and the maternal rating of child health while controlling for chronic health conditions. However, the level of chronic health conditions in children living in poverty may be part of the causal pathway, considering that their rate for acute illness is higher than that for non-poor children ( 77 ). criminal sketch orders
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