Nixtla TimeGPT Fine-Tuning Lab

Adapts the TimeGPT model to specific datasets for enhanced forecasting performance.

Purpose

Improves forecasting accuracy by fine-tuning the pre-trained TimeGPT model on custom time series data.

Overview

This skill guides users through the process of fine-tuning TimeGPT on their own datasets. It handles data preprocessing, training configuration, and evaluation. Use when domain-specific accuracy is crucial or when the general TimeGPT model underperforms. It outputs a fine-tuned model and performance metrics.

Prerequisites

Tools: Read, Write, Bash, Glob, Grep

Environment: NIXTLA_TIMEGPT_API_KEY