Revision 7905bb6d38ecc7c9fe5a5cbe85057791e103cf62 authored by James Hensman on 29 June 2016, 08:36:52 UTC, committed by James Hensman on 29 June 2016, 08:36:52 UTC
An option in the dataholder class lets it choose what to do when the shape of data are changed. So now we can do X = np.random.randn(10, 1) Y = np.sin(X) m = GPflow.models.GPR(X, Y, GPflow.kernels.RBF(1)) m.optimize() X_new = np.random.randn(12, 1) Y_new = np.sin(X_new) m.X = X_new m.Y = Y_new m.optimize() # no recompile neded.
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| File | Mode | Size |
|---|---|---|
| GPflow | ||
| notebooks | ||
| testing | ||
| .coveragerc | -rw-r--r-- | 251 bytes |
| .coveralls.yml | -rw-r--r-- | 23 bytes |
| .gitignore | -rw-r--r-- | 702 bytes |
| LICENSE | -rw-r--r-- | 11.1 KB |
| README.md | -rw-r--r-- | 5.0 KB |
| RELEASE.md | -rw-r--r-- | 1.2 KB |
| regression.ipynb | -rw-r--r-- | 206.1 KB |
| setup.py | -rw-r--r-- | 1.4 KB |
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