3118e57384
Making conditional MI calculators (continuous) handle empty conditionals, and properly normalise new data according to the old (except for linear Gaussian calculator, which explicitly bars normalisation now).
2016-10-18 13:21:29 +11:00
fb4d6c423c
Javadocs made release-ready in the continuous.gaussian package.
2014-08-13 02:24:02 +00:00
7803966168
Adding GPLv3 license statement to all code headers in the infodymamics.measures.continuous.gaussian, kernel and kozachenko packages (continuing ...)
2014-08-06 05:37:59 +00:00
68b0233e28
Extended fix to handle zero-covariance conditionals for handling linear redundancies amongst variables properly in ConditionalMICalculatorMultivariateGaussian - this contributes to resolution (closed) for Issue 16
2013-07-06 18:24:13 +00:00
ce1a3b4b31
Extended fix to local cond MI values for handling linear redundancies amongst variables properly in ConditionalMICalculatorMultivariateGaussian - this resolves Issue 16
2013-07-06 13:54:02 +00:00
0907ed495e
Handle linear redundancies amongst variables properly in ConditionalMICalculatorMultivariateGaussian. Still need to extend this to the local conditional MI values
2013-07-06 11:11:56 +00:00
a00b24019c
Making linear-Gaussian implementation of Conditional MI calculator not normalise the data by default (after having made it a child class of the common conditional MI implementation, this had been switched on by default)
2013-03-18 05:52:36 +00:00
4bd22a0984
Reconditioned Conditional MI calculator Kraskov as a child class of Conditional MI calculator Common
2013-03-11 12:55:29 +00:00
cd67da53a4
Patching linear Gaussian estimators to give empirical statistical significance given a certain number of observations.
...
Changed implementation of our conditional MI calculators Kraskov via algorithm 2 to my current interpretation of how this should be done.
Added a utility for lagged covariance in MatrixUtils
2013-03-04 06:08:38 +00:00
3167944875
Adding interface for conditional mutual information (continuous) calculator, common methods for it, and implementation for Gaussian variables.
2013-01-12 13:43:43 +00:00
jlizier