Agent skill
Teradata ONNX Model Scoring
Score data using ONNX models (Bring Your Own Model)
Install this agent skill to your Project
npx add-skill https://github.com/teradata-labs/claude-cookbooks/tree/main/skills/analytics/td-onnx-predict
SKILL.md
Teradata ONNX Model Scoring
| Property | Value |
|---|---|
| Skill Name | Teradata ONNX Model Scoring |
| Description | Score data using ONNX models (Bring Your Own Model) |
| Category | BYOM Scoring |
| Primary Function | ONNXPredict |
| Framework | BYOM |
Core Capabilities
- Automated table structure analysis via DBC.ColumnsV
- Dynamic SQL generation for ONNXPredict
- Complete workflow from data preparation to results interpretation
- Data quality validation and preprocessing guidance
- Parameter optimization and tuning
Key Parameters
- InputTable: Data to score
- ModelTable: ONNX model stored as BLOB (model_id, model columns)
- Accumulate: Columns to pass through
- Overwrite: 'true'/'false' for output column handling
Use Cases
- Score data with externally trained ONNX models
- Deploy PyTorch/TensorFlow models in-database
- Real-time scoring at scale
- Model portability across platforms
Example Usage
-- ONNXPredict execution
SELECT * FROM ONNXPredict (
ON {USER_DATABASE}.{USER_TABLE} AS InputTable
ON (SELECT model_id, model FROM {USER_DATABASE}.{MODEL_TABLE}
WHERE model_id = '{MODEL_NAME}') AS ModelTable DIMENSION
USING
Accumulate ('{ID_COLUMN}', '{OTHER_COLUMNS}')
Overwrite ('true')
) AS dt;
Scripts Included
Core Analytics Scripts
table_analysis.sql: Automatic table structure discoverypreprocessing.sql: Data preparation and feature engineeringmodel_training.sql: ONNXPredict executionevaluation.sql: Results analysis and metricscomplete_workflow_template.sql: End-to-end workflow
Utility Scripts
data_quality_checks.sql: Comprehensive data validationparameter_tuning.sql: Parameter optimizationdiagnostic_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 ONNX Model Scoring - ClearScape Analytics skill for Teradata Vantage
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