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Introduction

Get Started
CLI

Generation 2 Components

Overview
Datasets
Preblocks
Postblocks
Models
Loss Functions
Verification Metrics
Custom Objects

Training and Inference

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

Contributing

Contributing to CREDIT

API Reference

Overview

Generation 1

Installing CREDIT from source
What’s in the Configuration File?
Prepare New Dataset
Supported Model Architectures
Post Blocks
Losses (Gen 1)
Training (Gen 1)
Weather Forecasting vs Downscaling Climate Projections
RAL GWC regional model

.rst

gfs_init

Contents

Functions
Module Contents
- main()

gfs_init#

Functions#

Module Contents#

gfs_init.main()#

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Contents

Functions
Module Contents
- main()

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