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https://github.com/madsjulia/kriging.jl
Gaussian process regression
https://github.com/madsjulia/kriging.jl
covariance gaussian-processes geostatistics krige kriging spatial-analysis variogram
Last synced: about 2 months ago
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Gaussian process regression
- Host: GitHub
- URL: https://github.com/madsjulia/kriging.jl
- Owner: madsjulia
- License: gpl-3.0
- Created: 2017-09-30T18:53:42.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2024-05-06T13:27:50.000Z (8 months ago)
- Last Synced: 2024-11-06T19:03:14.739Z (about 2 months ago)
- Topics: covariance, gaussian-processes, geostatistics, krige, kriging, spatial-analysis, variogram
- Language: Julia
- Homepage: http://mads.gitlab.io
- Size: 192 KB
- Stars: 11
- Watchers: 5
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
Kriging
==========
[](https://coveralls.io/r/madsjulia/Kriging.jl?branch=master)
Gaussian process regressions and simulations.
Kriging is a module of [MADS](http://madsjulia.github.io/Mads.jl).
MADS
====
[MADS](http://madsjulia.github.io/Mads.jl) (Model Analysis & Decision Support) is an integrated open-source high-performance computational (HPC) framework in [Julia](http://julialang.org).
MADS can execute a wide range of data- and model-based analyses:
* Sensitivity Analysis
* Parameter Estimation
* Model Inversion and Calibration
* Uncertainty Quantification
* Model Selection and Model Averaging
* Model Reduction and Surrogate Modeling
* Machine Learning and Blind Source Separation
* Risk Assessment
* Decision Analysis and Support
MADS has been tested to perform HPC simulations on a wide range of multi-processor clusters and parallel environments (Moab, Slurm, etc.).
MADS utilizes adaptive rules and techniques, which allow the analyses to be performed with a minimum user input.
The code provides a series of alternative algorithms to execute each type of analysis.
Documentation
=============
All the available MADS modules and functions are described at [madsjulia.github.io](http://madsjulia.github.io/Mads.jl)
Installation
============
```julia
Pkg.add("Mads")
```
Installation behind a firewall
------------------------------
Julia uses git for package management.
To install Julia packages behind a firewall, add the following lines in the `.gitconfig` file in your home directory:
```git
[url "https://"]
insteadOf = git://
```
or execute:
```bash
git config --global url."https://".insteadOf git://
```
Set proxies:
```bash
export ftp_proxy=http://proxyout.:8080
export rsync_proxy=http://proxyout.:8080
export http_proxy=http://proxyout.:8080
export https_proxy=http://proxyout.:8080
export no_proxy=.
```
For example, if you are doing this at LANL, you will need to execute the
following lines in your bash command-line environment:
```bash
export ftp_proxy=http://proxyout.lanl.gov:8080
export rsync_proxy=http://proxyout.lanl.gov:8080
export http_proxy=http://proxyout.lanl.gov:8080
export https_proxy=http://proxyout.lanl.gov:8080
export no_proxy=.lanl.gov
```
MADS examples
=============
In Julia REPL, do the following commands:
```julia
import Mads
```
To explore getting-started instructions, execute:
```julia
Mads.help()
```
There are various examples located in the `examples` directory of the `Mads` repository.
For example, execute
```julia
include(Mads.madsdir * "/../examples/contamination/contamination.jl")
```
to perform various example analyses related to groundwater contaminant transport, or execute
```julia
include(Mads.madsdir * "/../examples/bigdt/bigdt.jl")
```
to perform Bayesian Information Gap Decision Theory (BIG-DT) analysis.
Developers
==========
* [Daniel O'Malley](http://www.lanl.gov/expertise/profiles/view/daniel-o'malley) [(publications)](http://scholar.google.com/citations?user=rPzCVjEAAAAJ)
* [Velimir (monty) Vesselinov](https://montyv.github.io/) [(publications)](http://scholar.google.com/citations?user=sIFHVvwAAAAJ)
Projects:
---------
* [MADS](https://github.com/madsjulia)
* [SmartTensors](https://github.com/SmartTensors)
* [SmartML](https://github.com/SmartTensors/SmartML.jl)
Publications, Presentations
--------------------------
* [mads.gitlab.io](http://mads.gitlab.io)
* [madsjulia.github.io](https://madsjulia.github.io)
* [SmartTensors](https://SmartTensors.github.io)
* [SmartTensors.com](https://SmartTensors.com)
* [monty.gitlab.io](http://monty.gitlab.io)
* [montyv.github.io](https://montyv.github.io)