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Is your feature request related to a problem? Please describe.
The mleko library currently lacks a comprehensive reporting functionality for the Exploratory Data Analysis (EDA) step. This makes it difficult for users to understand and interpret the results of their EDA.
Describe the solution you'd like
I propose adding a feature to the mleko library that generates a comprehensive report at the end of the EDA process, similar to the ydata-profiling library. This report could include various statistical measures, correlations, missing values, and visualizations.
Describe alternatives you've considered
An alternative solution would be to integrate mleko with an existing data profiling library like pandas-profiling or sweetviz. This would allow users to generate detailed EDA reports without having to write additional code.
Additional context
A comprehensive EDA report can provide valuable insights into the data and help guide the subsequent steps of the machine learning pipeline. It would be a useful addition to the mleko library.
The text was updated successfully, but these errors were encountered:
Is your feature request related to a problem? Please describe.
The
mleko
library currently lacks a comprehensive reporting functionality for the Exploratory Data Analysis (EDA) step. This makes it difficult for users to understand and interpret the results of their EDA.Describe the solution you'd like
I propose adding a feature to the
mleko
library that generates a comprehensive report at the end of the EDA process, similar to the ydata-profiling library. This report could include various statistical measures, correlations, missing values, and visualizations.Describe alternatives you've considered
An alternative solution would be to integrate
mleko
with an existing data profiling library like pandas-profiling or sweetviz. This would allow users to generate detailed EDA reports without having to write additional code.Additional context
A comprehensive EDA report can provide valuable insights into the data and help guide the subsequent steps of the machine learning pipeline. It would be a useful addition to the
mleko
library.The text was updated successfully, but these errors were encountered: