Closed jermaine1ronquillo closed 5 years ago
I also tried to run this command found in the notebook, _pfts1taiex = pwfts.ProbabilisticWeightedFTS("1", partitioner=partitioner) It doesn't work, I have to delete "1" to make it work
running this _pfts1_taiex_diff.fit(dataset[:train_split], save_model=True, file_path='pwftsdiff') will result to IndexError: list index out of range
This notebook is outdated and was even removed from the pyFTS repository!
The developments about the PWFTS method now are on a separated repository and will be joined again on pyFTS after the PWFTS paper was published.
That explains why, the link is given on readme. It is a good example though.
I tried running the file under the section "Partitioning optimization" but I encountered an error. Also I cannot read the file "pwfts_taiex_partitioning.csv".