Fix/remove int type from nominal inputs#551
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KFilippopolitis merged 6 commits intomasterfrom Feb 16, 2026
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ThanKarab
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Good work!
Please prefix the commits with fix, feat or chore
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…pecs Nominal variables should not be treated as integers. This commit updates the JSON specifications for various algorithms (Naive Bayes, Logistic Regression, etc.) to ensure strict typing for nominal inputs.
…pecs Updates K-Means and Linear Regression specifications to accept both integer and real values for numerical input fields, ensuring broader compatibility with input data.
Enhance logistic_regression.py to gracefully handle invalid input data.
…DuckDB loader Replaces generic categorical coercion with explicit type mapping in `DuckDBCSVLoader`. This improves type safety and removes the need for `udf_service.py` workarounds. Also adds comprehensive tests for type loading and removes obsolete coercion tests.
Enhances `DuckDBCSVLoader` to correctly handle various CSV delimiters. Adds `test_csv_delimiters.py` to verify delimiter handling.
- Move _build_column_types inside _create_primary_data_table for better encapsulation - Update unit tests to reflect API change - Modify aggregation server template to conditionally apply nodeSelector based on managed_cluster value
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