td-parameter-estimation
OfficialOptimize UAF models with advanced estimation.
Authorteradata-labs
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill streamlines the complex process of parameter estimation and optimization for Teradata's Unbounded Array Framework (UAF) models, enabling more accurate and efficient time series analysis and signal processing.
Core Features & Use Cases
- Advanced Parameter Estimation: Utilizes the
TD_PARAMETER_ESTIMATIONfunction for sophisticated model calibration. - Time Series & Signal Processing: Supports analysis of high-dimensional data, including IoT sensor data and financial forecasting.
- Use Case: A data scientist needs to fine-tune a time series forecasting model for millions of products. This Skill analyzes the data, recommends optimal UAF parameters, and generates SQL workflows for accurate estimation.
Quick Start
Use the td-parameter-estimation skill to analyze time series table: my_database.sensor_data with timestamp column and value columns.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: td-parameter-estimation Download link: https://github.com/teradata-labs/claude-cookbooks/archive/main.zip#td-parameter-estimation Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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