Module predictive_analytics 

Predictive Analytics and Forecasting for Stream Processing

This module provides advanced time-series forecasting and predictive analytics capabilities for streaming data, enabling proactive decision-making and trend analysis.

Features

• Multiple forecasting algorithms (ARIMA, ETS, Prophet-like decomposition, LSTM)
• Real-time trend detection and anomaly prediction
• Seasonal decomposition and pattern recognition
• Multi-step ahead forecasting with confidence intervals
• Adaptive model retraining based on forecast accuracy
• Integration with SciRS2 for advanced statistical computations

Example Usage

use oxirs_stream::predictive_analytics::{PredictiveAnalytics, ForecastingConfig, ForecastAlgorithm};

let config = ForecastingConfig {
    algorithm: ForecastAlgorithm::AutoRegressive,
    horizon: 10,
    confidence_level: 0.95,
    ..Default::default()
};

let mut analytics = PredictiveAnalytics::new(config)?;
analytics.train(&historical_data)?;
let forecast = analytics.forecast(10)?;

Structs

AccuracyMetrics

Accuracy metrics for forecast evaluation

ForecastResult

Forecast result with confidence intervals

ForecastingConfig

Configuration for predictive analytics

PredictiveAnalytics

Main predictive analytics engine

PredictiveStats

Predictive analytics statistics

Enums

ForecastAlgorithm

Forecasting algorithm types

SeasonalityType

Seasonality pattern type

TrendDirection

Trend direction in time series