You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
$$$$$ Entering returnSimilarPairs method with x,y = X22, X12
Exception in thread "Thread-1" java.lang.IndexOutOfBoundsException: Index -1 out of bounds for length 0
at java.base/jdk.internal.util.Preconditions.outOfBounds(Preconditions.java:64)
at java.base/jdk.internal.util.Preconditions.outOfBoundsCheckIndex(Preconditions.java:70)
After some search, according to this thread (cmu-phil/tetrad#855) it seems to suggest that for ts data a prior knowledge is required. However, it's unclear to me what data structure is expected -- for both the input df (should we expand the original time series with their time-lags in the columns as well?) and the priorknowledge.
I am wondering if there is any sample code (similar to the ones for running gfci) that elaborates how to run when algoId = ts*?
Thanks!
The text was updated successfully, but these errors were encountered:
Hi!
I was trying to use the following command to run the TS algo
but encountered the following error msg:
After some search, according to this thread (cmu-phil/tetrad#855) it seems to suggest that for ts data a prior knowledge is required. However, it's unclear to me what data structure is expected -- for both the input df (should we expand the original time series with their time-lags in the columns as well?) and the priorknowledge.
I am wondering if there is any sample code (similar to the ones for running gfci) that elaborates how to run when algoId = ts*?
Thanks!
The text was updated successfully, but these errors were encountered: