What specific code changes does the migrator perform?

It updates legacy imports, replaces the 'TimeGPT' class with 'NixtlaClient', refactors 'timegpt.forecast()' to 'client.forecast()', and removes deprecated methods like 'create_model'.

Can I review changes before they are applied?

The skill generates a migration_report.txt and an analysis_report.txt, allowing you to review all proposed modifications before the final script execution.

Is an API key necessary for the migration?

A NIXTLA_TIMEGPT_API_KEY environment variable is required to perform API availability checks and validate connection parameters during the migration process.

Does this skill validate my forecasting data?

Yes, it includes a compatibility checker that validates column names, data types, and datetime formats to ensure they meet TimeGPT-2 requirements.

Nixtla TimeGPT-2 Migrator

Name: Nixtla TimeGPT-2 Migrator
Author: intent-solutions-io

byintent-solutions-io

데이터 과학 및 ML

Automates the transition of time-series forecasting workflows from legacy TimeGPT-1 to the updated TimeGPT-2 API and SDK.

소개

The Nixtla TimeGPT-2 Migrator is a specialized utility designed to streamline the upgrade process for developers using Nixtla's generative time-series models. It automatically scans codebases to identify legacy TimeGPT-1 patterns, validates data schemas against the new version requirements, and applies automated code replacements—such as transitioning from the legacy TimeGPT class to the modern NixtlaClient. By identifying breaking changes and generating necessary YAML configurations, this skill minimizes manual refactoring effort and ensures that production forecasting pipelines remain compatible with the latest performance enhancements and features.

주요 기능

0 GitHub stars
Data schema validation for required columns like unique_id, ds, and y
Automated detection of legacy TimeGPT-1 API calls and usage patterns
Generation of standardized TimeGPT-2 YAML configuration files
Comprehensive migration reporting and compatibility assessment
Smart code refactoring for NixtlaClient and forecast method updates

사용 사례

Auditing existing machine learning repositories for deprecated Nixtla features
Upgrading legacy forecasting services to the more powerful TimeGPT-2 model
Refactoring Python data pipelines to use the modern Nixtla SDK

소개

주요 기능

0 GitHub stars
Data schema validation for required columns like unique_id, ds, and y
Automated detection of legacy TimeGPT-1 API calls and usage patterns
Generation of standardized TimeGPT-2 YAML configuration files
Comprehensive migration reporting and compatibility assessment
Smart code refactoring for NixtlaClient and forecast method updates

사용 사례

Auditing existing machine learning repositories for deprecated Nixtla features
Upgrading legacy forecasting services to the more powerful TimeGPT-2 model
Refactoring Python data pipelines to use the modern Nixtla SDK