Agent skill

Teradata Ordinal Encoding Suite

Ordinal encoding for ordered categorical variables

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npx add-skill https://github.com/teradata-labs/claude-cookbooks/tree/main/skills/analytics/td-ordinal-encoding

SKILL.md

Teradata Ordinal Encoding Suite

Property Value
Skill Name Teradata Ordinal Encoding Suite
Description Ordinal encoding for ordered categorical variables
Category Feature Engineering
Primary Function TD_OrdinalEncodingFit
Framework SQLE

Core Capabilities

  • Automated table structure analysis via DBC.ColumnsV
  • Dynamic SQL generation for TD_OrdinalEncodingFit
  • Complete workflow from data preparation to results interpretation
  • Data quality validation and preprocessing guidance
  • Parameter optimization and tuning

Key Parameters

  • TargetColumn: Categorical column to encode
  • Approach: 'LIST' (manual order) or 'AUTO' (alphabetical)
  • Categories: Ordered list of category values (for LIST approach)
  • OrdinalValues: Corresponding integer values
  • Accumulate: Columns to keep in output (Transform)

Use Cases

  1. Encoding ordered categories (low/medium/high)
  2. Feature engineering for ML models
  3. Survey response encoding
  4. Education level or rating encoding

Example Usage

sql
-- TD_OrdinalEncodingFit execution
SELECT * FROM TD_OrdinalEncodingFit (
    ON {USER_DATABASE}.{USER_TABLE} AS InputTable
    USING
    TargetColumn ('{CATEGORICAL_COLUMN}')
    Approach ('LIST')                  -- 'LIST' (manual) or 'AUTO' (alphabetical)
    Categories ('{CAT_1}','{CAT_2}','{CAT_3}')
    OrdinalValues (1, 2, 3)
) AS dt;

Scripts Included

Core Analytics Scripts

  • table_analysis.sql: Automatic table structure discovery
  • preprocessing.sql: Data preparation and feature engineering
  • model_training.sql: TD_OrdinalEncodingFit execution
  • evaluation.sql: Results analysis and metrics
  • complete_workflow_template.sql: End-to-end workflow

Utility Scripts

  • data_quality_checks.sql: Comprehensive data validation
  • parameter_tuning.sql: Parameter optimization
  • diagnostic_queries.sql: Results diagnostics and interpretation

Best Practices

  • Always run table_analysis.sql first to understand your data structure
  • Validate data quality before executing the analytical function
  • Use parameter_tuning.sql to find optimal configuration
  • Review diagnostic_queries.sql output for model/results validation

Limitations

  • Requires Teradata Vantage 17.20+ with ClearScape Analytics
  • Input data must meet function-specific requirements
  • Results depend on data quality and parameter configuration

Teradata Ordinal Encoding Suite - ClearScape Analytics skill for Teradata Vantage

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