Examples Gallery

21 real-world case studies demonstrating temporalcv’s capabilities across different domains and use cases.

Core Concepts (00-05)

Foundational examples introducing validation gates, walk-forward CV, statistical tests, persistence metrics, and conformal prediction.

Production Workflows (06-10)

Complete pipelines for real ML systems: financial CV with purging, nested CV for hyperparameter tuning, regime stratification, multi-horizon comparison, and end-to-end deployment.

Domain-Specific (11-15)

Industry-tailored examples: web traffic with seasonality, IoT sensors with anomalies, macro GDP forecasting, energy load prediction, and cryptocurrency with regime shifts.

Failure Cases (16-20)

Learn from common mistakes: each shows what goes wrong and how the validation gates catch the issue before it corrupts your results.

Note

All examples use synthetic data and require no external datasets. Run any example with python examples/XX_name.py.

Quickstart: temporalcv in 50 lines

Quickstart: temporalcv in 50 lines

Example 01: Detecting Data Leakage with the Shuffled Target Test

Example 01: Detecting Data Leakage with the Shuffled Target Test

Example 02: Walk-Forward Cross-Validation with Gap Enforcement

Example 02: Walk-Forward Cross-Validation with Gap Enforcement

Example 03: Statistical Tests for Forecast Comparison

Example 03: Statistical Tests for Forecast Comparison

Example 04: Handling High-Persistence Time Series

Example 04: Handling High-Persistence Time Series

Example 05: Conformal Prediction for Time Series

Example 05: Conformal Prediction for Time Series

Example 06: Financial Cross-Validation with PurgedKFold

Example 06: Financial Cross-Validation with PurgedKFold

Example 07: Nested Cross-Validation for Hyperparameter Tuning

Example 07: Nested Cross-Validation for Hyperparameter Tuning

Example 08: Regime-Stratified Evaluation

Example 08: Regime-Stratified Evaluation

Example 09: Multi-Horizon Comparison

Example 09: Multi-Horizon Comparison

Example 10: End-to-End Time Series ML Pipeline

Example 10: End-to-End Time Series ML Pipeline

Example 11: Web Traffic Forecasting

Example 11: Web Traffic Forecasting

Example 12: IoT Sensor Forecasting

Example 12: IoT Sensor Forecasting

Example 13: Macro GDP Forecasting

Example 13: Macro GDP Forecasting

Example 14: Energy Load Forecasting

Example 14: Energy Load Forecasting

Example 15: Crypto Volatility Forecasting

Example 15: Crypto Volatility Forecasting

Example 16: FAILURE CASE — Rolling Statistics on Full Series

Example 16: FAILURE CASE — Rolling Statistics on Full Series

Example 17: FAILURE CASE — Threshold Leakage

Example 17: FAILURE CASE — Threshold Leakage

Example 18: FAILURE CASE — Using DM Test for Nested Models

Example 18: FAILURE CASE — Using DM Test for Nested Models

Example 19: FAILURE CASE — Missing Gap for Multi-Step Forecasting

Example 19: FAILURE CASE — Missing Gap for Multi-Step Forecasting

Example 20: FAILURE CASE — KFold Instead of WalkForward

Example 20: FAILURE CASE — KFold Instead of WalkForward