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- The title basically says it all. I want to try different hyperparameters for my Neural Network (or algorithms in general). For some, like random forest, I can specify a list - e.g., max_depth. What I …
Solution by Alex_CombessieHello,
It is not possible at the moment on the visual interface.
Instead, for hyperparameter optimization on neural networks, we invite you to code your own custom Python model (in the Analysis > Design > Algorithms section). For instance, for a neural network from scikit-learn (MLP), you can use this:
from sklearn.neural_network import MLPClassifier
from sklearn.model_selection import GridSearchCV
parameters={
'alpha': [1,10,0.1],
'activation': ["logistic", "relu"]
}
mlp = MLPClassifier()
clf = GridSearchCV(
estimator=mlp,
param_grid=parameters,
n_jobs=-1,
verbose=2,
cv=5
)Note that we are looking to integrate neural networks more deeply
into our product. We will keep you posted!Cheers,
Alex
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