Accord.NET Framework full changelog
Accord.NET Framework 3.3.0
released Sep 17, 2016 (New Release)
General:
This will be last release that includes an executable installer. If you are still using the installer, please move to NuGet or use the framework compressed archive files.
Imaging:
Creating a new Accord.Imaging.Noncommercial assembly to hold non-commercial imaging methods;
Adding Fast Guided Filter to Accord.Imaging.Noncommercial.
MachineLearning:
Fixing Binary Split's learn method to accept null weights;
Updating Binary Split example to reflect the new API;
Adding constructors to allow tree inducing algorithms to create a tree from scratch;
Statistics:
Fixing multiple issues with statistical analyses classes when they are used using the new classification/regression APIs;
Statistical measures (Measures.cs) have been moved to the Accord.Math assembly,
but have been kept under the Accord.Statistics namespace;
Correcting L2-regularization in Logistic Regression.
This will be last release that includes an executable installer. If you are still using the installer, please move to NuGet or use the framework compressed archive files.
Imaging:
Creating a new Accord.Imaging.Noncommercial assembly to hold non-commercial imaging methods;
Adding Fast Guided Filter to Accord.Imaging.Noncommercial.
MachineLearning:
Fixing Binary Split's learn method to accept null weights;
Updating Binary Split example to reflect the new API;
Adding constructors to allow tree inducing algorithms to create a tree from scratch;
Statistics:
Fixing multiple issues with statistical analyses classes when they are used using the new classification/regression APIs;
Statistical measures (Measures.cs) have been moved to the Accord.Math assembly,
but have been kept under the Accord.Statistics namespace;
Correcting L2-regularization in Logistic Regression.
Accord.NET Framework 2.12.0
released Aug 8, 2014 (New Release)
Accord.NET Framework 2.9.0
released Jul 16, 2013 (New Release)
General:
· Working on more source code examples for the documentation.
Accord.Math:
· Adding Levenshtein distance for strings.
Accord.Imaging:
· Updating BagOfVisualWords to be fully serializable.
Accord.MachineLearning:
· Adding K-dimensional trees (K-d trees);
· Adding Mean-Shift clustering algorithm;
· Adding support for weights in Gaussian Mixture Models;
· Correcting the name of the K-Nearest Neighbors algorithm;
· Improving K-Nearest Neighbors for double[] using a K-d tree;
· Changing K-Nearest Neighbors generic argument to represent the
· instance type rather than the type of the array of instances.
Accord.Statistics:
· Adding interfaces for density estimation kernels;
· Adding Gaussian, Epanechnikov, Uniform density kernels;
· Adding Bartlett's and Levene's tests for variances;
· Adding hypothesis tests for comparing ROC curves;
· Adding support for scatterplot generation directly from ROC curves;
· Adding running Markov models and running Markov classifier filters;
· Working on more source code examples for the documentation.
Accord.Math:
· Adding Levenshtein distance for strings.
Accord.Imaging:
· Updating BagOfVisualWords to be fully serializable.
Accord.MachineLearning:
· Adding K-dimensional trees (K-d trees);
· Adding Mean-Shift clustering algorithm;
· Adding support for weights in Gaussian Mixture Models;
· Correcting the name of the K-Nearest Neighbors algorithm;
· Improving K-Nearest Neighbors for double[] using a K-d tree;
· Changing K-Nearest Neighbors generic argument to represent the
· instance type rather than the type of the array of instances.
Accord.Statistics:
· Adding interfaces for density estimation kernels;
· Adding Gaussian, Epanechnikov, Uniform density kernels;
· Adding Bartlett's and Levene's tests for variances;
· Adding hypothesis tests for comparing ROC curves;
· Adding support for scatterplot generation directly from ROC curves;
· Adding running Markov models and running Markov classifier filters;
Accord.NET Framework 2.8.1
released Jan 10, 2013 (New Release)
General:
· Working on more source code examples for the documentation.
Accord.Math:
· Adding Levenshtein distance for strings.
Accord.Imaging:
· Updating BagOfVisualWords to be fully serializable.
Accord.MachineLearning:
· Adding K-dimensional trees (K-d trees);
· Adding Mean-Shift clustering algorithm;
· Adding support for weights in Gaussian Mixture Models;
· Correcting the name of the K-Nearest Neighbors algorithm;
· Improving K-Nearest Neighbors for double[] using a K-d tree;
· Changing K-Nearest Neighbors generic argument to represent the
· instance type rather than the type of the array of instances.
Accord.Statistics:
· Adding interfaces for density estimation kernels;
· Adding Gaussian, Epanechnikov, Uniform density kernels;
· Adding Bartlett's and Levene's tests for variances;
· Adding hypothesis tests for comparing ROC curves;
· Adding support for scatterplot generation directly from ROC curves;
· Adding running Markov models and running Markov classifier filters;
· Working on more source code examples for the documentation.
Accord.Math:
· Adding Levenshtein distance for strings.
Accord.Imaging:
· Updating BagOfVisualWords to be fully serializable.
Accord.MachineLearning:
· Adding K-dimensional trees (K-d trees);
· Adding Mean-Shift clustering algorithm;
· Adding support for weights in Gaussian Mixture Models;
· Correcting the name of the K-Nearest Neighbors algorithm;
· Improving K-Nearest Neighbors for double[] using a K-d tree;
· Changing K-Nearest Neighbors generic argument to represent the
· instance type rather than the type of the array of instances.
Accord.Statistics:
· Adding interfaces for density estimation kernels;
· Adding Gaussian, Epanechnikov, Uniform density kernels;
· Adding Bartlett's and Levene's tests for variances;
· Adding hypothesis tests for comparing ROC curves;
· Adding support for scatterplot generation directly from ROC curves;
· Adding running Markov models and running Markov classifier filters;
Accord.NET Framework 2.8.0
released Nov 12, 2012 (New Release)
· Accord.Statistics
· Adding data processing filters for data randomization,
· branching, grouping, elimination and imputation;
· Adding Precision, Recall and F-Score in Confusion matrix;
· Adding GrandMean calculation in Statistics.Tools;
· Adding the Negative Binomial, Pareto, Laplace, Inverse
· Gamma, Beta, Wishart, Inverse Wishart, Dirichlet distributions;
· Adding the Two Proportion Z-Test, Paired T-Test and Multinomial test
· Correcting Noncentral T distribution pdf calculation;
· Correcting Skewness and Kurtosis calculations;
· Correcting ANOVA when groups have different sizes;
· Adding support for newer Excel versions in ExcelReader;
· Adding support for different sample weights in HMM learning;
· Adding distinct elements calculation in DescriptiveAnalysis;
· Adding standalone Standard Error computation for ROC curves.
· Accord.MachineLearning
· Redesigning clustering framework to accomodate the
· Binary-Split algorithm, K-Means, K-Modes and GMMs;
· Adding support for cancella
· Adding data processing filters for data randomization,
· branching, grouping, elimination and imputation;
· Adding Precision, Recall and F-Score in Confusion matrix;
· Adding GrandMean calculation in Statistics.Tools;
· Adding the Negative Binomial, Pareto, Laplace, Inverse
· Gamma, Beta, Wishart, Inverse Wishart, Dirichlet distributions;
· Adding the Two Proportion Z-Test, Paired T-Test and Multinomial test
· Correcting Noncentral T distribution pdf calculation;
· Correcting Skewness and Kurtosis calculations;
· Correcting ANOVA when groups have different sizes;
· Adding support for newer Excel versions in ExcelReader;
· Adding support for different sample weights in HMM learning;
· Adding distinct elements calculation in DescriptiveAnalysis;
· Adding standalone Standard Error computation for ROC curves.
· Accord.MachineLearning
· Redesigning clustering framework to accomodate the
· Binary-Split algorithm, K-Means, K-Modes and GMMs;
· Adding support for cancella
Accord.NET Framework for Windows 7 - free download notice
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