Fail to converge warning when training on custom dataset

[Adib Yahaya]

I've followed the steps on the readme. train.py was able to load the images from dataset, but it outputs the following message:

INFO: Initialized TensorFlow Lite runtime.
/home/username/anaconda3/envs/actionai/lib/python3.7/site-packages/sklearn/linear_model/_logistic.py:940: ConvergenceWarning: lbfgs failed to converge (status=1):
STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.

Increase the number of iterations (max_iter) or scale the data as shown in:
    https://scikit-learn.org/stable/modules/preprocessing.html
Please also refer to the documentation for alternative solver options:
    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression
  extra_warning_msg=_LOGISTIC_SOLVER_CONVERGENCE_MSG)

Any advice on how to solve this?

OS: Ubuntu 18.04 LTS

[Muhamad Khoirul Anwar]

just check at models folder if classifier.sav is exist