Welcome to ESEm’s documentation!
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Contents:
Installing ESEm
Using PyPi
Using conda
Dependencies
What’s new in ESEm
What’s new in ESEm 1.1
Emulating with ESEm
Gaussian processes emulation
Neural network emulation
Random forest emulation
Data processing
Feature selection
Calibrating with ESEm
Using approximate Bayesian computation (ABC)
Using Markov-chain Monte-Carlo
Examples
Emulating using GPs
Emulating using CNNs
Random Forest Example: Cloud-resolving model sensitivity
Calibrating GPs using ABC
Calibrating GPs using MCMC
CMIP6 Emulation
Create paper emulation figure
API reference
Top-level functions
Emulator
Sampler
Wrappers
ModelAdaptor
DataProcessor
Utilities
ESEm design
Emulation
Calibration
Glossary
Indices and tables
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Index
Module Index
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Contents:
Installing ESEm
What’s new in ESEm
Emulating with ESEm
Calibrating with ESEm
Examples
API reference
ESEm design
Glossary
Related Topics
Documentation overview
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Installing ESEm
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