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fusionlab-learn 0.3.0 documentation

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Documentation

Installation
Quickstart
Motivation
User Guide
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- Introduction
- Forecasting Models
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  - Base Attentive Model Architecture
  - Hybrid Models
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    - HALNet (Hybrid Attentive LSTM Network)
    - Hybrid Transformer Models: XTFT & SuperXTFT
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  - Physics-Informed Neural Networks (PINNs)
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  - Transformer-Based Models
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    - Pure Transformer Models
    - Temporal Fusion Transformer (TFT) and Variants
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- Core Model Components
- Loss Functions
- Physical Parameter Descriptors
- Datasets
- Data Preparation Workflow
- Utilities for fusionlab-learn
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- Hyperparameter Tuning
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- Model Evaluation and Visualization
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  - Evaluating and Visualizing Forecasts
  - Metrics for Forecasting Evaluation
- Anomaly Detection
- Examples Gallery
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  - Forecasting Examples
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  - Anomaly Detection Examples
  - Plotting & Visualization Gallery
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  - Using Command-Line Tools
- Case Histories
- Hands-On Exercises
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- Command-Line Tools
- Subsidence PINN Mini GUI Guide
API Reference
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Contributing
Code of Conduct
How to Cite
Release Notes
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Glossary
License

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fusionlab.nn.losses.combined_quantile_loss¶

fusionlab.nn.losses.combined_quantile_loss(quantiles)[source]¶

fusionlab.nn.losses.prediction_based_loss

fusionlab.nn.components.MultiObjectiveLoss

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fusionlab.nn.losses.combined_quantile_loss
- combined_quantile_loss()