Train multiple neural networks in one Analysis?

Hello,

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