jlizier 2714650cfa Amending Kraskov (KSG) MI estimators to have an experimental method to provide conditional entropy of the first variable given the second. Works by removing the Kozachenko Leonenko entropy of variable 1 from the MI, using the same kNN radii as the MI estimator. Includes Unit tests to provide some initial validation.		2022-06-16 21:29:29 +10:00
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demos/autoanalysis	Altering the python-java jpype data conversion in AutoAnalyser to work properly with jpype 0.7 and upwards	2021-10-08 16:03:14 +11:00
measures	Amending Kraskov (KSG) MI estimators to have an experimental method to provide conditional entropy of the first variable given the second. Works by removing the Kozachenko Leonenko entropy of variable 1 from the MI, using the same kNN radii as the MI estimator. Includes Unit tests to provide some initial validation.	2022-06-16 21:29:29 +10:00
networkinference/interregional	Altering TE Kraskov to do auto-embedding properly when we have added multiple observations with validity vectors. Also taking the opportunity to re-engineer the internals to lay groundwork for auto-embedding function to be shared with the Gaussian estimator at a later stage. Unit tests added here as well for the above.	2018-10-15 20:56:50 +11:00
utils	Amending Kraskov (KSG) MI estimators to have an experimental method to provide conditional entropy of the first variable given the second. Works by removing the Kozachenko Leonenko entropy of variable 1 from the MI, using the same kNN radii as the MI estimator. Includes Unit tests to provide some initial validation.	2022-06-16 21:29:29 +10:00