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In the PR #39, the DrawEvent class is extended to manage input distributions with dimension greater than 3.
For each cross-cut plot (i,j), the current implementation of the drawSample method uses the marginal bivariate distribution, then generates a sample from this distribution. It would be handy to plot a given sample instead of generating it. Each (i,j) plot would contain the projection of the sample. This would be an extension of drawInputOutputSample().
The text was updated successfully, but these errors were encountered:
In the PR #39, the DrawEvent class is extended to manage input distributions with dimension greater than 3.
For each cross-cut plot (i,j), the current implementation of the
drawSample
method uses the marginal bivariate distribution, then generates a sample from this distribution. It would be handy to plot a given sample instead of generating it. Each (i,j) plot would contain the projection of the sample. This would be an extension of drawInputOutputSample().The text was updated successfully, but these errors were encountered: