SVDPlusPlusLearner traninng diverge error

[audachang]

Recommendation version

latest

Orange version

3.27.1

Expected behavior

(Print on screen)
[0.98389692 1.01224489 1.0078577 ]

Steps to reproduce the behavior

import Orange
from orangecontrib.recommendation import SVDPlusPlusLearner, BRISMFLearner

#Load data and train the model
data = Orange.data.Table('movie_lens/epinions_train.tab')
learner = SVDPlusPlusLearner(num_factors=15, num_iter=25, learning_rate=0.07, lmbda=0.1)
recommender = learner(data)

#Make predictions
prediction = recommender(data[:3])
print(prediction)

Actual behavior

RuntimeError: Training diverged and returned NaN.

Additional info (worksheets, data, screenshots, ...)

data are from the dataset folder of the recommendation package; placed at a subfolder "movie_lens" in the path of the script; actually any of the datafile causes the same error. using BRIMSFLearner works.
https://github.com/biolab/orange3-recommendation/blob/master/orangecontrib/recommendation/datasets/epinions_train.tab