March 15 2023
Last updated
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Last updated
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We've updated the primary navigation sidebar in the MarkovML web app to provide a more interactive experience and improved look.
You can now get insights about personally identifiable information (PII) present in datasets that are uploaded to MarkovML. This is useful for understanding your datasets' potentially sensitive information (for example, to ensure compliance with local data privacy protection laws).
We've added support for analyzing the text columns in the Mixed/Categorical datasets. You should see results from n-gram
analysis and key word extraction results
generated on text-only columns of the Mixed/Categorical datasets.
You can now find data points similar to a set of selected points in the given dataset.
You can now use MarkovML auto-record to capture your experiments for ML models created with XGBoost or SKLearn with a single command.