Modules
Modules
- otagrum : create a distribution from a Bayesian Network using aGrUM
- otfftw : Fast Fourier Transform algorithm (e.g. for stochastic processes) using FFTW
- otfmi : FMI models manipulation using PyFMI
- otmixmod : build mixtures of a multivariate Normal distribution from a sample
- otmorris : Morris screening method module
- otpmml : manages PMML files for meta-modeling exchanges
- otpod: A module to build Probability of Detection for Non Destructive Testing
- otrobopt: robust optimization
- otsubsetinverse: inverse subset simulation
- otsvm : Support Vector regression and classification with libsvm
- otwrapy : Python wrapper tools
Installation
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From an existing conda installation, refer to https://openturns.github.io/openturns/latest/install.html#conda:
conda install otrobopt
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From pip (except osx, otagrum):
pip install otmixmod
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From otconda
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On Linux, you can install modules either from our Debian or RPM repositories, see instructions
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On Linux, from sources:
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You will need to install the development packages first, check the required dependencies
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Launch installation, for example the robopt module:
git clone https://github.com/openturns/otrobopt.git cd otrobopt cmake -DCMAKE_INSTALL_PREFIX=~/.local . make install
Other modules
- otbenchmark : benchmark problems for reliability and sensitivity analysis
- othdrplot: high density region algorithm for functional outlier detection
- otsurrogate: surrogate metamodels
- otsklearn: metamodels with the scikit-learn estimator API (fit/predict)
- otusecases: use cases suitable for OpenTURNS (functions and datasets)
- otmarkov: simulates Markov chains (experimental)
- otsensitivity : sensitivity analysis with density based measures
Installation
Some of these modules are available on pip:
pip install otbenchmark
pip install othdrplot