ZeroDivisionError: integer division or modulo by zero

[KerenHalperin]

Hi,
I'm using XGBClassifier and getting this error:
~/anaconda3/envs/kando/lib/python3.8/site-packages/micromlgen/templates/xgboost/xgboost.jinja in block 'predict'()
4 float votes[{{ n_classes }}] = { 0.0f };
5
----> 6 {% for k, tree in f.enumerate(trees) %}
7 {% with i = 0, class_idx = k % n_classes %}
8 // tree #{{ k + 1 }}

ZeroDivisionError: integer division or modulo by zero
Can you please explain why this is happening?

[eloquentarduino]

It looks like n_classes is 0. What dataset are you trying to classify?

[KerenHalperin]

It's a binary classification problem, y- is a series of 1/0, x- dataframe with 40 features. Do you have an example of using micromlgen with xgboost? perhaps that would help me. Using SVC for example, works for me.

[eloquentarduino]

Xgboost is the same as any other classifier from the micromlgen perspective.
I remember having troubles with binary classification with xgboost, too.
Can you please try a different dataset with more than 2 classes? I'm sure it will work.

If this is the case and you need a "fast" solution, ry to create a "dummy" class to your dataset.