deep-river

deep-river
Getting started
Benchmarks
Benchmarks
- Binary classification
  Binary classification
- Forecasting
  Forecasting
- Multiclass classification
  Multiclass classification
- Regression
  Regression
Examples
Examples
- Anomaly
  Anomaly
- Catastrophic forgetting
  Catastrophic forgetting
- Classification
  Classification
- Forecasting
  Forecasting
- Model persistence
  Model persistence
  - Index
- Regression
  Regression
Generated
Generated
- Examples
  Examples
  - Anomaly
    Anomaly
    
    Example autoencoder
    
    Example autoencoder
    
    Example lstm autoencoder
    
    Example lstm autoencoder
    
    Example probability weighted autoencoder
    
    Example probability weighted autoencoder
  - Catastrophic forgetting
    Catastrophic forgetting
    
    Label shift
    
    Label shift
    
    Recurring concepts
    
    Recurring concepts
  - Classification
    Classification
    
    Example classification
    
    Example classification
    
    Example mini batches
    
    Example mini batches
    
    Example rnn classification
    
    Example rnn classification
  - Forecasting
    Forecasting
    
    Nbeats forecaster
    
    Nbeats forecaster
  - Model persistence
    Model persistence
    
    Model persistence demo
    
    Model persistence demo
  - Regression
    Regression
    
    Bike sharing forecasting
    
    Bike sharing forecasting
    
    Example mini batches
    
    Example mini batches
    
    Example regression
    
    Example regression
    
    Example rnn regression
    
    Example rnn regression
Reference
Reference
- Base
- Params
- Tensor conversion
- Anomaly
  Anomaly
- Classification
  Classification
- Forecasting
  Forecasting
  - Forecaster
  - Zoo
- Regression
  Regression

Forecasting¶

Hands-on notebooks that walk through core workflows and real datasets, with ready-to-run code and model outputs.

N-BEATS Forecaster