natas_hw
/
jidt
mirror of https://github.com/jlizier/jidt
1
0
Fork 0
Code Issues Packages Projects Releases Wiki Activity

Fixing python demo 6, where the multivariate array conversion wasn't working for Python3 with Jpype. Fixed to use recommended array conversion as per UseInPython wiki. Addresses issue raised in PR #87 also.

This commit is contained in:
jlizier 2022-09-05 23:13:52 +10:00
parent 2b0a5cb943
commit 65aa685d11
1 changed files with 2 additions and 2 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

4
demos/python/example6DynamicCallingMutualInfo.py
View File

@ -92,7 +92,7 @@ miCalc = miCalcClass()
# a. Initialise the calculator for a univariate calculation: # a. Initialise the calculator for a univariate calculation:
miCalc.initialise(1, 1) miCalc.initialise(1, 1)
# b. Supply the observations to compute the PDFs from: # b. Supply the observations to compute the PDFs from:
miCalc.setObservations(univariateSeries1, univariateSeries2) miCalc.setObservations(JArray(JDouble, 1)(univariateSeries1.tolist()), JArray(JDouble, 1)(univariateSeries2.tolist()))
# c. Make the MI calculation: # c. Make the MI calculation:
miUnivariateValue = miCalc.computeAverageLocalOfObservations() miUnivariateValue = miCalc.computeAverageLocalOfObservations()
@ -103,7 +103,7 @@ miUnivariateValue = miCalc.computeAverageLocalOfObservations()
# to use the required number of dimensions for each variable: # to use the required number of dimensions for each variable:
miCalc.initialise(len(jointVariable1Columns), len(jointVariable2Columns)) miCalc.initialise(len(jointVariable1Columns), len(jointVariable2Columns))
# b. Supply the observations to compute the PDFs from: # b. Supply the observations to compute the PDFs from:
miCalc.setObservations(jointVariable1, jointVariable2) miCalc.setObservations(JArray(JDouble, 2)(jointVariable1.tolist()), JArray(JDouble, 2)(jointVariable2.tolist()))
# c. Make the MI calculation: # c. Make the MI calculation:
miJointValue = miCalc.computeAverageLocalOfObservations() miJointValue = miCalc.computeAverageLocalOfObservations()