made algos and metrics compatible with eval_model.py files#11
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mkeeler43 wants to merge 1 commit intobaseline_modelsfrom
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made algos and metrics compatible with eval_model.py files#11mkeeler43 wants to merge 1 commit intobaseline_modelsfrom
mkeeler43 wants to merge 1 commit intobaseline_modelsfrom
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ffelten
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Mar 27, 2025
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@njhoffman11 you might want to see this since it targets your branch |
ffelten
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Apr 1, 2025
engiopt/test_cgan_cnn_2d.ipynb
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I thought it would be nice but I guess its not necessary
ffelten
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ffelten
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Very minor changes, good one Mister
.DS_Store
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| selected_indices: The indices of the sampled conditions and designs. | ||
| """ | ||
| ### Set up testing conditions ### | ||
| np.random.seed(seed) |
| for i, designs in enumerate(dataloader): | ||
| for i, data in enumerate(dataloader): | ||
| designs = data[0] | ||
| print(designs.shape) |
| """Compute the Maximum Mean Discrepancy (MMD) between two sets of samples. | ||
|
|
||
| Args: | ||
| x (np.ndarray): Array of shape (n, l, w) for generative model designs. |
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Changes to 2D algorithms (CGANs and GANs) to be compatible with all 2D problems and eval metrics.
Eval metrics can be run in respective evaluate_model.py files.