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rtt_changedetect_rnn_lstm's Issues

cpt_valid issue

I have run cpt_train successfully, but the cpt_valid has a question as shown:

/home/yuan/anaconda3/envs/python35/bin/python /home/yuan/Desktop/text/rtt_changedetect_rnn_lstm-master_zj/cpt_eval.py
Using TensorFlow backend.
/home/yuan/anaconda3/envs/python35/lib/python3.6/site-packages/rpy2/rinterface/__init__.py:146: RRuntimeWarning: Error in objects(db.pos, all.names = TRUE) : 
  .Internal(ls)收到了2个参数,但它最多只能用3个参数

  warnings.warn(x, RRuntimeWarning)
/home/yuan/anaconda3/envs/python35/lib/python3.6/site-packages/rpy2/rinterface/__init__.py:146: RRuntimeWarning: Error in file.info(dirs) : 
  .Internal(file.info)收到了1个参数,但它最多只能用2个参数

  warnings.warn(x, RRuntimeWarning)
/home/yuan/anaconda3/envs/python35/lib/python3.6/site-packages/rpy2/rinterface/__init__.py:146: RRuntimeWarning: Fatal error: unable to initialize the JIT


  warnings.warn(x, RRuntimeWarning)

Process finished with exit code 139 (interrupted by signal 11: `SIGSEGV)

How to fix this, please, thank you.
Is this because your RTT data generate from R? I have my time series data, how can I use my data to valid? Thank you very much.

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