'Talos, syntax to select best_model
I'm running a toy model for learning, on Ubuntu 21.10, in a conda environment that comprises python 3.74, keras 2.4.3 and talos 1.0, among many other packages. I've run a talos scan using this code:
jam1 = talos.Scan(data,
labels[0,],
model = DLAt,
params = ParamsJam1,
experiment_name = "DL2Outputs"
)
However I've tried everything I can find but can not find correct syntax to select the best model using talos.best_model.
bm = talos.best_model(metric='loss', asc=False)
just gets this error.
AttributeError: module 'talos' has no attribute 'best_model'
Is this not the correct function to achieve this?
Solution 1:[1]
The best model isn't saved in the package, it's saved in the Scan object:
bm.best_model(metric='loss', asc=False)
Sources
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Source: Stack Overflow
Solution | Source |
---|---|
Solution 1 | Tian Welgemoed |