Data Summary for Tabular projects

Once you upload data, AryaXAI automatically performs a comprehensive analysis of the added datasets for your initial file. This analysis includes data profiling, data modeling, and explainability.

Get Data Summary:

project.data_observations('Training') # Can pass any Tag for getting Summary

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Initiate new Data Diagnostics

Default data drift report generated after uploading train and test data

project.data_drift_diagnosis()

Seeing Data Drift report between Tags

project.data_drift_diagnosis(['Training'],['Testing'])

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Data alerts

The Data Warning section highlights any inconsistencies detected in the uploaded analytical data. These warnings encompass various issues, including missing data, high feature correlation, high cardinality, and more.

You can also retrieve the data warning specifically by 'tag'. Just pass the 'Tag' below.

# data diagnosis
project.data_warnings('Training')