Expand description
Streaming transformations for continuous data Streaming transformations for continuous data processing
This module provides utilities for processing data streams in real-time, maintaining running statistics and transforming data incrementally.
Structs§
- Streaming
Feature Selector - Streaming feature selector based on variance or correlation thresholds
- Streaming
MinMax Scaler - Streaming min-max scaler that tracks min and max values
- Streaming
Outlier Detector - Streaming outlier detector using statistical methods
- StreamingPCA
- Streaming Principal Component Analysis using incremental SVD
- Streaming
Quantile Tracker - Streaming quantile tracker using P² algorithm
- Streaming
Standard Scaler - Streaming standard scaler that maintains running statistics
- Windowed
Streaming Transformer - Window-based streaming transformer that maintains a sliding window
Enums§
- Outlier
Method - Methods for outlier detection in streaming data
Traits§
- Streaming
Transformer - Trait for transformers that support streaming/incremental updates