[SOLVED] Calling the sklearn2pmml() function in Python 3.8 throws RuntimeError

Calling the sklearn2pmml() function in Python 3.8 throws RuntimeError

I'am trying to save my scikit learn logistic regression as pmml but get a RuntimeError:

My code:

from sklearn2pmml import sklearn2pmml
from sklearn2pmml.pipeline import PMMLPipeline
from sklearn.linear_model import LogisticRegression

pipe_pmml = PMMLPipeline(steps=[('mapper', mapper),
                                ('estimator', LogisticRegression(C = 0.01, 
                                  penalty = 'l1', 
                                  solver = 'liblinear', 
                                  random_state = 1))
                                ])
pipe_pmml.fit(X_small, y)

sklearn2pmml(pipe_pmml, pmml_filename, with_repr = True)

with error:

Standard output is empty
Standard error:
Exception in thread "main" net.razorvine.pickle.InvalidOpcodeException: invalid pickle opcode: 0
    at net.razorvine.pickle.Unpickler.dispatch(Unpickler.java:366)
    at org.jpmml.python.CustomUnpickler.dispatch(CustomUnpickler.java:31)
    at org.jpmml.python.PickleUtil$1.dispatch(PickleUtil.java:64)
    at net.razorvine.pickle.Unpickler.load(Unpickler.java:109)
    at org.jpmml.python.PickleUtil.unpickle(PickleUtil.java:85)
    at com.sklearn2pmml.Main.run(Main.java:78)
    at com.sklearn2pmml.Main.main(Main.java:6

where mapper is a DataFrameMapper from sklearn_pandas

Anybody any idea?

sklearn==0.0
scikit-learn==1.1.2
sklearn-pandas==2.2.0
sklearn2pmml==0.86.3

Solution