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Getting Started

Quickstart
Getting Started
Installing CREDIT from source

Configuration File

What’s in the Configuration File?

Training and Inference

Training a Model
Monitoring with TensorBoard
Running Inference
Forecast API Server
AI Agent
Evaluation and Metrics
Ensemble Training
Ensemble Inference
Working with Loss Functions

Contributing

Contributing

Adding New Models and Datasets

Supported Model Architectures
Post Blocks
Dataset Structure
Weather Forecasting vs Downscaling Climate Projections
Prepare New Dataset
RAL GWC regional model
API Reference

.rst

credit.seed

Contents

Functions
Module Contents
- seed_everything()

credit.seed#

Functions#

seed_everything([seed])

Module Contents#

credit.seed.seed_everything(seed=1234)#

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credit.skebs

Contents

Functions
Module Contents
- seed_everything()

By University Corporation for Atmospheric Research

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