Changelog What's new and improved
Stay up to date with the latest features, improvements, and fixes to ForecastAPI.
Added Advanced Model
Introducing the new Advanced model, which combines our toughest algorithms for improved accuracy across diverse datasets.
New Features
- Introducing a new Advanced model, at a slightly increased cost, which improves forecasts for new identifiers and smaller datasets, as well as improves overall results by up to 30% across scores. This model is slower and is not recommended to use in live-forecasting for large datasets.
-
New
model
field in forecasting and batch endpoints to select model
Reduced Overfitting
Refinements to model training to minimize overfitting on small datasets and forecast horizons, improving forecast reliability.
Improvements
- • Enhanced regularization techniques in Prophet and ARIMA models
- • Improved cross-validation strategies for small datasets
- • Updated documentation with best practices for avoiding overfitting
Advanced Seasonality Detection
Major improvements to seasonal pattern detection with support for multiple seasonality layers and holiday effects.
New Features
- Multi-layer seasonality detection for complex patterns
- Holiday and special event impact analysis
-
New
seasonality
field in Analyze endpoint
Improvements
- • 40% faster Prophet model initialization
- • Reduced memory usage for large datasets
Batch Processing API
New batch endpoints for processing multiple forecasts in a single request, perfect for inventory management systems.
New Features
-
POST /v2/batch
endpoint for up to 1,000 Series - Parallel processing with 50% cost reduction
- Webhook support for async batch processing
-
Polling endpoint for Batch processing status:
GET /v2/batch/{batchToken}
Bug Fixes
- • Fixed edge case in Croston method for zero-inflated data
- • Resolved timezone handling in hourly forecasts
Confidence Intervals Enhancement
Improved confidence interval calculations with customizable levels and better handling of uncertainty.
New Features
- Customizable confidence levels (50%, 80%, 95%, 99%)
- Prediction intervals for each forecast point
- Uncertainty quantification metrics
Improvements
- • Better handling of outliers in confidence calculations
- • Improved documentation with Python and PHP examples
SDK Releases
Official SDKs for popular programming languages to make integration even easier.
New Features
- PHP SDK with Composer support
- Python SDK with type hints
- Node.js/TypeScript SDK with async/await
- Ruby gem for Rails applications
API v2 Launch
Complete API redesign with improved performance, better error handling, and enhanced model selection algorithms.
Breaking Changes
- ! New RESTful API structure with versioned endpoints
- ! Updated authentication using Bearer tokens
- ! Standardized error response format
New Features
- 9 new forecasting algorithms with automatic selection
- Multi-region deployment for lower latency
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