How to fix "TOOL ERROR: Applying softmax on single element" in X-Cube-AI Hi,I am using the X-Cube-AI expansion pack in STM32Cube IDE and wanted to add an ONNX model. After selecting the model and pressing Analyze, I get the error: "TOOL ERROR: Applying softmax on single element".The model I am trying to use is a neural network created in Scikit-learn and is converted into the ONNX format using skl2onnx. I am using skl2onnx version 1.14.1 and X-Cube-AI version 8.0.1. The project was created for the SensorTile.box.Although I am trying to create a neural network for my own data, I am receiving the same error message when using the example for creating a neural network and converting it to the ONNX format. The following is the example code I used in Python: # Train a model.
from sklearn.datasets import load_iris
from sklearn.model_selection import train_test_split
from sklearn.ensemble import RandomForestClassifier
iris = load_iris()
X, y = iris.data, iris.target
X_train, X_test, y_train, y_te
