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nok avatar nok commented on May 30, 2024

Thanks for your feedback, but I can't reproduce your critical issues.
Can you install the latest version of release/1.0.0 and test it again please?

pip install https://github.com/nok/sklearn-porter/zipball/release/1.0.0

Here is a basic example:

from sklearn.datasets import load_iris
from sklearn.ensemble import RandomForestClassifier

from sklearn_porter import Estimator


# 1. Load data and train a dummy classifier:
X, y = load_iris(return_X_y=True)
clf = RandomForestClassifier()
clf.fit(X, y)

# 2. Port or transpile an estimator:
est = Estimator(clf, language='java', template='exported')

# output = est.port()
# print(output)

# 3. Validate and compare the predictions:
score = est.test(X)
print(score)  # the score should be 1.0

https://github.com/nok/sklearn-porter/tree/release/1.0.0#basics

from sklearn-porter.

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