@ArtiX-GP Try to save your model to another format (e.g PyTorch) and then convert it to onnx

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Hello, I have the same question! any help?

from multiobjectiveoptimization.

Any updates?

from multiobjectiveoptimization.

import joblib
from onnxmltools import convert_sklearn
import tensorflow as tf

print(tf.version)

Load the scikit-learn model from the .pkl file

loaded_model = joblib.load('model.pkl')

Convert the scikit-learn model to ONNX format

onnx_model = convert_sklearn(loaded_model, 'ONNXmodel')

with open('C:/Users/asalim/Downloads/TableHeaders/TableHeaders/Model.onnx', 'wb') as f:
f.write(onnx_model.SerializeToString())

from multiobjectiveoptimization.