Comments (1)
SMT does not have built-in feature to save trained models. You may use Python pickle module to do that but it will not work for surrogates implemented in C++ (namely IDW, RBF, RMTB and RMTC). See also #156.
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Related Issues (20)
- Fixing seed of surrogates HOT 1
- Does SMT support parallel computing or GPU computing? HOT 1
- SMT version 1.3 or 2.0? HOT 2
- Can't Run Example EGO Code HOT 2
- Kriging surrogate model in case of multiple outputs HOT 5
- Sampling Method sometimes gets stuck HOT 2
- pyDOE2 non-functional with python 3.12, appears to be unsupported. HOT 5
- Question on drawing drawing sample from MFK GP posterior. HOT 3
- Any interest in putting this on conda-forge? HOT 3
- Zero predicted variance while prediction differs from ground truth HOT 1
- Adaptive sampling methods for Kriging models and its variants including multi-fidelity Kriging HOT 1
- AttributeError: 'DesignSpace' object has no attribute '_cs' HOT 4
- InactiveHyperparameterSetError encountered when solving the HierarchicalGoldstein problem. HOT 3
- data-driven Multi-Fidelity Kriging HOT 1
- ValueError by passing an int instead of a float HOT 3
- SMT 2.5 is not available on conda-forge HOT 2
- Error from SMT --> ValueError: setting an array element with a sequence. HOT 4
- Question on new syntax to train GENN (JENN) models HOT 6
- Meta: add "Discussions" to GitHub repo? HOT 1
- Saving models without using pickle? HOT 1
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