New - Working Asyncronous I/O! for HDF5 files with multiprocessing. Use HPELM.train_async() and HPELM.predict_async()
0.6.16
Fixed - Asyncronous HDF5 file reading now setting "async_io=True" in HPELM.predict(). On Windows, make sure you use 'if __name__ == "__main__"' construction in your main code, or async reader will not start.
0.6.14
New - Added asyncronous HDF5 file reading in HPELM.predict(). The program must be able to spawn a separate process.
0.6.13
Fixed - Fixed a bug (typo) which caused HPELM to skip the last batch of data in training/predicting/etc.