7515b53a11
Adding MatrixUtils method for max entropy discretisation
2014-08-01 03:29:55 +00:00
71b5983e5b
Added unit test for linear-Gaussian TE estimator against values produced from the Granger causality estimator of the ChaLearn Connectomics Challenge Sample Code.
2014-07-29 07:03:26 +00:00
01291c883a
Added property to Kraskov MI for adding a random amount of noise to the data, to address situations with many identical values in the one variable (which causes problems with neighbourhood sizes)
2014-04-30 02:09:01 +00:00
eef14a901b
More info on error messages for wrong dimensions of data provided.
2014-04-30 01:30:22 +00:00
e44f5b11ec
OctaveMatrix class added, which modifies org.octave.Matrix (under GPLv3).
2014-04-29 01:33:31 +00:00
b50384a302
Added methods for computeSignificance analytically (i.e. without bootstrapping) to the new Gaussian TE calculators (i.e. the Granger causality calculators), plus for directly assigning the joint covariance matrix for each calculator, and a debug method to access the computed determinants.
2014-04-23 02:07:29 +00:00
b721dd79c0
Fixing compilation of moved unit test for mixed calculators package
2014-04-17 11:22:19 +00:00
cce93f2d18
Moving (only) unit test for the mixed calculators package to reflect the package move
2014-04-17 11:21:12 +00:00
5a6fdb0ea7
Code edits to mixed calculators to fix compilation after moving them into the "mixed" package. Also needed to make some alternations to some of the continuous calculators to fix usage of protected members which are no longer accessible to the moved classes.
2014-04-17 11:10:58 +00:00
73ec340f44
Finalised moving mixed calculators into the new mixed directory.
2014-04-17 06:53:27 +00:00
91dbd9f772
Continuing to move mixed calculators into the new directory. Moving rest of interfaces from infodynamics.measures.continuous, as well as creating packages inside infodynamics.measures.mixed for the concrete implementations to come across.
2014-04-17 06:49:03 +00:00
c253313724
Starting to move mixed calculators into the new directory. Testing first with Conditional MI one
2014-04-17 06:43:43 +00:00
926f22992e
Added unit tests for conditional TE continuous calculators.
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Added some more tests for TE Kraskov also.
2014-04-17 06:00:54 +00:00
a63e104dc6
Removing the old MutualInfo "ByMulti" Kraskov multivariate MI implementations (they're just hanging around like garbage at the moment). Kept in my sandbox
2014-04-17 05:59:49 +00:00
83f7de5472
Added interface for ConditionalTransferEntropy. Added abstract implementation ConditionalTransferEntropyCalculatorViaCondMutualInfo, and child classes for Kraskov and Gaussian implementations.
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Added associated embedding method to MatrixUtils, and fixed a lot of header comments here. Minor fixes to comments and which methods are specified (e.g. setProperties) for TransferEntropy and Entropy calculators.
2014-04-17 05:58:13 +00:00
7d95954c55
Patched bug in interface for old Kernel AIs calculator (now in unit tests)
2014-04-08 11:27:10 +00:00
9cad2737af
Added unit tests for TransferEntropyCalculatorMultiVariateViaCondMutualInfo and derived classes for Kraskov and Gaussian estimators.
2014-04-08 11:21:40 +00:00
7a40b433b7
Added TransferEntropyCalculatorMultiVariateViaCondMutualInfo to facilitate estimation of multivariate TE by an underlying conditional mutual information calculator. Added linear-Gaussian TE estimator using this. Switched Kraskov multivariate TE estimator from a two MI estimator to use an underlying conditional mutual information calculator; removed old Kraskov "ByMulti" classes now. Removed some initialisation routines for TransferEntropyCalculatorViaCondMutualInfo so they tie in ok.
2014-04-08 10:41:49 +00:00
b81ccccee1
Added unit tests for TransferEntropyCalculatorViaCondMutualInfo implementations: Gaussian simply tests the computeStartAndEndTimePairs; Kraskov tests against TRENTOOL.
2014-04-07 05:33:30 +00:00
fd9bf116f9
Added TransferEntropyCalculatorViaCondMutualInfo to allow calculation of TE via any implementation of a conditional MI calculator. Added concrete implementations using this for Gaussian estimators (Gaussian TE estimator is equivalent to Granger causality). Replaced existing Kraskov TE calculator (which used two MI calculators) with one which uses one conditional MI estimator via this new method. Also patched TransferEntropyCommon.computeStartAndEndTimePairs
2014-04-07 05:31:52 +00:00
c5402e8c48
Added ActiveInfoStorageCalculatorViaMutualInfo to allow calculation of AIS via any implementation of an MI calculator. (Forgot to add this before -- its child classes are already committed).
2014-04-04 06:02:04 +00:00
1827ec23c2
Fixed lack of initialisation of MI calculators in Kraskov MI unit tests
2014-03-26 05:09:20 +00:00
12fc61d396
Moved Kraskov mutual info calculator multivariate to inherit from the common MI multivariate class, so as to share code for adding observations, statistical tests, etc. Passed unit testing.
2014-03-26 05:08:46 +00:00
06d0ddf07d
Added functions to discrete Entropy calculators for single dimensional arrays, plus local values of MI for single supplied values and statistical signficance testing for Active info storage.
2014-03-26 04:08:44 +00:00
3e017d1be4
Added unit tests for Rearchitecting Active Info Storage calculators to use a common parent class for data collection. Mainly includes testing kernel AIS calculator against the older direct implementation of this (which is now moved into the unit test area only)
2014-03-26 04:07:13 +00:00
2571c3ae9e
Rearchitected Active Info Storage calculators to use a common parent class for data collection, and underlying mutual information classes for the implementation specifics. Includes adding Kraskov and Gaussian Active Info Storage calculators, and implementing embedding delay for the past history.
2014-03-26 04:05:20 +00:00
c949339574
Allowing comment lines starting with % character in ArrayFileReader
2014-01-31 11:32:20 +00:00
2b8ab0e939
Adding error check to constructor of discrete MI calculator;
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and making method of generating random permutations more efficient (using native library).
2013-10-22 04:08:21 +00:00
5d0934bd85
Updating unit tests to reflect changes to discrete MI calculator and method of generating random permutations.
2013-10-22 04:06:58 +00:00
6fe22e39cb
Added unit tests for new method generateRandomPerturbations(int, int) in RandomGenerator, and for sortIndices(double[]) method to MatrixUtils
2013-10-18 00:45:46 +00:00
b4645584fe
Added new method generateRandomPerturbations(int, int) to RandomGenerator, and switched all computeSignificance methods to use this (since there's no need for checking for distinct perturbations really, and this is much faster). Required adding sortIndices(double[]) method to MatrixUtils
2013-10-18 00:42:12 +00:00
1d5ae4a176
Added unit test for bug fix to computeSignificance() of ConditionalMutualInformationCalculator, simply to make sure it doesn't throw an exception
2013-10-17 13:20:42 +00:00
c7b42e38ae
Bug fix to computeSignificance() of ConditionalMutualInformationCalculator
2013-10-17 13:19:58 +00:00
8991b4176c
Minor changes to method header comments
2013-09-10 22:50:30 +00:00
9c03691c09
Predictive information calculator unit tests added
2013-08-13 04:33:45 +00:00
7f48066b57
Predictive information calculator implementation made from active information storage
2013-08-13 04:33:18 +00:00
1c0e9098cc
Extra unit test for Issue 16
2013-07-06 18:36:03 +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
524b277b54
Adding minor utility functions
2013-06-18 07:31:18 +00:00
75c36dc13a
Adding common parent implementation of Conditional MI calculator from continuous to discrete variable, plus a linear-Gaussian implementation of it
2013-03-18 06:08:12 +00:00
b17ba9b05c
Minor alterations to utilities, including adding exceptions and adding to-do notes.
2013-03-18 05:55:43 +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
ddf4aaecc5
Reconditioned Conditional MI with Discrete calculator Kraskov as a child class of Conditional MI with Discrete calculator Common
2013-03-18 05:49:00 +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
bc218e291c
Added new unit test for Kraskov MI calculator against MILCA for large 10000 data points of dimension 5 in each x and y; added unit tests for digamma
2013-03-07 12:50:03 +00:00
16cc8e3db2
Patched digamma function for large k; added extra debug prints to Kraskov MI calculator 2
2013-03-07 12:46:52 +00:00
cb2e0a2588
New unit tests for covariance calculation (inside conditional MI linear Gaussian), making analytic linear Gaussian signficance tests take the number of observations into account
2013-03-04 06:11:43 +00:00
cd67da53a4
Patching linear Gaussian estimators to give empirical statistical significance given a certain number of observations.
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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
joseph.lizier