Matthias De Lozzo

Results 10 issues of Matthias De Lozzo

I used to access the [API documentation](https://openturns.github.io/openturns/latest/user_manual/user_manual.html) and I would appreciate to find a shortcut in the navigation bar which is currently: More generally, concerning the navigation bar, I propose...

website

As OpenTURNS is very rich, it is complicated to represent its content with a mono-level table of contents as it is done actually in [the table of contents of the...

doc

Since several releases, the OpenTURNS web documentation starts with a page of examples which is really nice! Attractive to people who are not comfortable with mathematics, convenient for users looking...

Hello, And thank you very much for your great library! My first contribution will not be a proposal of functionality but a remark on the documentation. In the theory documentation,...

doc

I used to access the [API documentation](https://openturns.github.io/openturns/latest/user_manual/user_manual.html) and I would appreciate to find a shortcut in the navigation bar which is currently: More generally, concerning the navigation bar, I propose...

doc

Hello, Can `HaarWaveletFactory` and `FourierFactory` be used for signal analysis? And if so, how? I found an example whose conclusion mentions the use or these factories to define the trend...

doc

- The documentation of `KrigingAlgorithm.setOptimizationAlgorithm` uses the name `solver` in the signature and `algorithm` in the docstring, which is inconsistent. - The documentation of `KrigingAlgorithm.setMaximumEvaluationNumber` uses the name `maximumEvaluationNumber` in...

doc
metamodel

Several examples of `KrigingAlgorithm` ([here](https://openturns.github.io/openturns/latest/auto_meta_modeling/kriging_metamodel/plot_kriging_hyperparameters_optimization.html) and [there](https://openturns.github.io/openturns/latest/auto_meta_modeling/kriging_metamodel/plot_kriging_multioutput_firesatellite.html#sphx-glr-auto-meta-modeling-kriging-metamodel-plot-kriging-multioutput-firesatellite-py), and perhaps elsewhere) set the optimization bounds of the covariance model parameters with `setOptimizationBounds` but disables their optimization with `setOptimizeParameters(False)`. Is it on...

doc
metamodel

### Describe the bug When `n_features > 1` and `normalization_y` is `False`, the `GaussianProcessRegressor.predict` seems to return bad std and cov results, as it doesn't consider the scale of the...

Bug

### What is the idea? Vectorization speeds up function sampling, e.g. ```python timeit("for _ in range(100): f([1])", setup="import openturns as ot; f=ot.SymbolicFunction(['x'],['x^2'])", number=10000) 4.531367600000067 timeit("f([[1]]*100)", setup="import openturns as ot; f=ot.SymbolicFunction(['x'],['x^2'])",...

enhancement