yat
0.8.3pre
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![]() ![]() | The Department of Theoretical Physics namespace as we define it |
![]() ![]() ![]() | Yat project namespace |
![]() ![]() ![]() ![]() | Classifier related classes |
![]() ![]() ![]() ![]() ![]() | Class creating trainingset and validationset using bootstrapping |
![]() ![]() ![]() ![]() ![]() | Robust algorithm to rank rows in a data matrix versus a target vector |
![]() ![]() ![]() ![]() ![]() | Class splitting a set into training set and validation set in a crossvalidation manner |
![]() ![]() ![]() ![]() ![]() | Class for general vector view |
![]() ![]() ![]() ![]() ![]() | Class for general weighted vector view |
![]() ![]() ![]() ![]() ![]() | Class for ensembles of supervised classifiers |
![]() ![]() ![]() ![]() ![]() | Interface class for FeatureSelection |
![]() ![]() ![]() ![]() ![]() | FeatureSelector using an InputRanker |
![]() ![]() ![]() ![]() ![]() | Class for selection features by random |
![]() ![]() ![]() ![]() ![]() | Class for Gaussian kernel calculations |
![]() ![]() ![]() ![]() ![]() | Class for In Group Proportions (IGP) |
![]() ![]() ![]() ![]() ![]() | Functor retrieving minus rank from a InputRanker to build a ConsensusInputRanker |
![]() ![]() ![]() ![]() ![]() | Interface class for retrieving information from a InputRanker to build a ConsensusInputRanker |
![]() ![]() ![]() ![]() ![]() | Class for ranking rows in a matrix, using a Score and a target vector |
![]() ![]() ![]() ![]() ![]() | Interface Class for Kernels |
![]() ![]() ![]() ![]() ![]() | Interface class calculating elements in Kernel |
![]() ![]() ![]() ![]() ![]() | Lookup into Kernel |
![]() ![]() ![]() ![]() ![]() | Memory Efficient Kernel |
![]() ![]() ![]() ![]() ![]() | Speed Efficient Kernel |
![]() ![]() ![]() ![]() ![]() | Nearest Neighbor Classifier |
![]() ![]() ![]() ![]() ![]() | Concept check for a Neighbor Weighting Method |
![]() ![]() ![]() ![]() ![]() | A model of the concept Neighbor Weighting Method to be used with KNN to weight the votes of the k nearest neighbors of a sample |
![]() ![]() ![]() ![]() ![]() | A model of the concept Neighbor Weighting Method to be used with KNN to weight the votes of the k nearest neighbors of a sample |
![]() ![]() ![]() ![]() ![]() | A model of the concept Neighbor Weighting Method to be used with KNN to weight the votes of the k nearest neighbors of a sample |
![]() ![]() ![]() ![]() ![]() | General view into utility::Matrix |
![]() ![]() ![]() ![]() ![]() | General view into utility::MatrixWeighted |
![]() ![]() ![]() ![]() ![]() | Naive Bayesian Classifier |
![]() ![]() ![]() ![]() ![]() | Nearest Centroid Classifier |
![]() ![]() ![]() ![]() ![]() | Class for polynomial kernel calculations |
![]() ![]() ![]() ![]() ![]() | Support Vector Machine |
![]() ![]() ![]() ![]() ![]() | Support Vector Machine for more than two classes |
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![]() ![]() ![]() ![]() ![]() | Interface class for dividing samples into training and validation |
![]() ![]() ![]() ![]() ![]() | Class splitting Data into training and validation set |
![]() ![]() ![]() ![]() ![]() | Interface class for supervised classifiers that use data in a matrix format |
![]() ![]() ![]() ![]() ![]() | Class for containing sample labels |
![]() ![]() ![]() ![]() | Normalization of data |
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![]() ![]() ![]() ![]() ![]() | Centralize a range |
![]() ![]() ![]() ![]() ![]() | Using a functor T to normalize each column |
![]() ![]() ![]() ![]() ![]() | Gaussian Normalizer |
![]() ![]() ![]() ![]() ![]() | Perform Q-quantile normalization |
![]() ![]() ![]() ![]() ![]() | Perform quantile normalization |
![]() ![]() ![]() ![]() ![]() | Using a functor T to normalize each column |
![]() ![]() ![]() ![]() ![]() | Replace elements with normalized rank |
![]() ![]() ![]() ![]() ![]() | Zero mean and unity variance |
![]() ![]() ![]() ![]() | Classes and functions related to genomics and proteomics |
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![]() ![]() ![]() ![]() ![]() | Functor comparing if two Codons translate to the same amino acid |
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![]() ![]() ![]() ![]() | Random number distributions |
![]() ![]() ![]() ![]() ![]() | Random Number Generator |
![]() ![]() ![]() ![]() ![]() | Class holding state of a random generator |
![]() ![]() ![]() ![]() ![]() | Discrete random number distributions |
![]() ![]() ![]() ![]() ![]() | General |
![]() ![]() ![]() ![]() ![]() | Discrete uniform distribution |
![]() ![]() ![]() ![]() ![]() | Poisson Distribution |
![]() ![]() ![]() ![]() ![]() | Continuous random number distributions |
![]() ![]() ![]() ![]() ![]() | Uniform distribution |
![]() ![]() ![]() ![]() ![]() | Generates numbers from a histogram in a continuous manner |
![]() ![]() ![]() ![]() ![]() | Generator of random numbers from an exponential distribution |
![]() ![]() ![]() ![]() ![]() | Gaussian distribution |
![]() ![]() ![]() ![]() | Statistical modeling of data |
![]() ![]() ![]() ![]() ![]() | Non-rounded Akima spline with natural boundary conditions |
![]() ![]() ![]() ![]() ![]() | AkimaPeriodic interpolation |
![]() ![]() ![]() ![]() ![]() | Cubic spline with natural boundary conditions |
![]() ![]() ![]() ![]() ![]() | Cubic spline with periodic boundary conditions |
![]() ![]() ![]() ![]() ![]() | Base class for interfacing GSL interpolation |
![]() ![]() ![]() ![]() ![]() | Interface Class for calculating the weights in a more general way than classical rectangular windows |
![]() ![]() ![]() ![]() ![]() | Class for KernelBox a.k.a. rectangular window |
![]() ![]() ![]() ![]() ![]() | Class for TriCubal kernel |
![]() ![]() ![]() ![]() ![]() | Linear regression |
![]() ![]() ![]() ![]() ![]() | Linear interpolation |
![]() ![]() ![]() ![]() ![]() | Linear regression |
![]() ![]() ![]() ![]() ![]() | Class for Locally weighted regression |
![]() ![]() ![]() ![]() ![]() | MultiDimesional fitting |
![]() ![]() ![]() ![]() ![]() | MultiDimesional fitting |
![]() ![]() ![]() ![]() ![]() | Naive Regression |
![]() ![]() ![]() ![]() ![]() | Naive fitting |
![]() ![]() ![]() ![]() ![]() | Interface Class for One Dimensional fitting |
![]() ![]() ![]() ![]() ![]() | Interface Class for One Dimensional fitting in a weighted fashion |
![]() ![]() ![]() ![]() ![]() | Polynomial regression |
![]() ![]() ![]() ![]() ![]() | Polynomial interpolation |
![]() ![]() ![]() ![]() ![]() | Polynomial Regression in weighted fashion |
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![]() ![]() ![]() ![]() | Statistical methods, classes, and functions |
![]() ![]() ![]() ![]() ![]() | Area Under ROC Curve |
![]() ![]() ![]() ![]() ![]() | Functor to take average of a range |
![]() ![]() ![]() ![]() ![]() | Class to calculate simple (first and second moments) averages |
![]() ![]() ![]() ![]() ![]() | Class for taking care of mean and covariance of two variables |
![]() ![]() ![]() ![]() ![]() | Class to calulate averages with weights |
![]() ![]() ![]() ![]() ![]() | Class for taking care of mean and covariance of two variables in a weighted manner |
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![]() ![]() ![]() ![]() ![]() | Calculates the Euclidean distance between two points given by elements of ranges |
![]() ![]() ![]() ![]() ![]() | Fisher's exact test |
![]() ![]() ![]() ![]() ![]() | Score given by the difference by the group means |
![]() ![]() ![]() ![]() ![]() | Histograms provide a convenient way of presenting the distribution of a set of data |
![]() ![]() ![]() ![]() ![]() | Kolmogow Smirnov Test |
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![]() ![]() ![]() ![]() ![]() | Class for calculating Pearson correlation |
![]() ![]() ![]() ![]() ![]() | Class for calculating Pearson correlation |
![]() ![]() ![]() ![]() ![]() | Calculates the Pearson correlation distance between two points given by elements of ranges |
![]() ![]() ![]() ![]() ![]() | Functor to calculate percentile of a range |
![]() ![]() ![]() ![]() ![]() | Reciever Operating Characteristic |
![]() ![]() ![]() ![]() ![]() | Class for score used in Significance Analysis of Microarrays (SAM) |
![]() ![]() ![]() ![]() ![]() | Interface Class for score classes |
![]() ![]() ![]() ![]() ![]() | Estimating a distribution in a smooth fashion |
![]() ![]() ![]() ![]() ![]() | Class for score based on signal-to-noise ratio (SNRScore) |
![]() ![]() ![]() ![]() ![]() | Tukey's Biweight Estimator |
![]() ![]() ![]() ![]() ![]() | Class for Fisher's t-test |
![]() ![]() ![]() ![]() ![]() | Class for Student's t-test |
![]() ![]() ![]() ![]() ![]() | Interface Class for vector functors |
![]() ![]() ![]() ![]() ![]() | Larget element |
![]() ![]() ![]() ![]() ![]() | Median element |
![]() ![]() ![]() ![]() ![]() | Mean element |
![]() ![]() ![]() ![]() ![]() | Smallest element |
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![]() ![]() ![]() ![]() ![]() | WilcoxonFoldChange |
![]() ![]() ![]() ![]() | Miscellaneous functionality |
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![]() ![]() ![]() ![]() ![]() | Class for parsing the command line |
![]() ![]() ![]() ![]() ![]() | Concept check for Container2D |
![]() ![]() ![]() ![]() ![]() | Concept check for Mutable Container2D |
![]() ![]() ![]() ![]() ![]() | Concept check for Trivial Iterator |
![]() ![]() ![]() ![]() ![]() | Concept check for Data Iterator |
![]() ![]() ![]() ![]() ![]() | Concept check for a Distance |
![]() ![]() ![]() ![]() ![]() | Iterator for a Container2D |
![]() ![]() ![]() ![]() ![]() | DataIterator |
![]() ![]() ![]() ![]() ![]() | Holds a pair of data and associated weight |
![]() ![]() ![]() ![]() ![]() | Proxy class for DataWeight |
![]() ![]() ![]() ![]() ![]() | Class used for all runtime error detected within yat library |
![]() ![]() ![]() ![]() ![]() | Class used for error reported from Commandline or Option |
![]() ![]() ![]() ![]() ![]() | Class that contains information reported via global variable errno |
![]() ![]() ![]() ![]() ![]() | Class for errors reported from underlying GSL calls |
![]() ![]() ![]() ![]() ![]() | Class to report errors associated with IO operations |
![]() ![]() ![]() ![]() ![]() | Checking file/directory existence and access permissions |
![]() ![]() ![]() ![]() ![]() | Read from std::istream with std::getline |
![]() ![]() ![]() ![]() ![]() | Class for storing indices of, e.g., a MatrixLookup |
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![]() ![]() ![]() ![]() ![]() | Principal Component Analysis on a Kernel Matrix |
![]() ![]() ![]() ![]() ![]() | KNNimpute |
![]() ![]() ![]() ![]() ![]() | Interface to GSL matrix |
![]() ![]() ![]() ![]() ![]() | Weighted Matrix |
![]() ![]() ![]() ![]() ![]() | Interface class for nearest neighbour imputation (NNI) algorithms |
![]() ![]() ![]() ![]() ![]() | Container of variables for an option |
![]() ![]() ![]() ![]() ![]() | Option with argument |
![]() ![]() ![]() ![]() ![]() | Class for file related options |
![]() ![]() ![]() ![]() ![]() | Class for file related options |
![]() ![]() ![]() ![]() ![]() | Class for file related options |
![]() ![]() ![]() ![]() ![]() | Class for help option |
![]() ![]() ![]() ![]() ![]() | Class for switch option |
![]() ![]() ![]() ![]() ![]() | Principal Component Analysis |
![]() ![]() ![]() ![]() ![]() | Class for a Segment or Interval |
![]() ![]() ![]() ![]() ![]() | Functor using compare |
![]() ![]() ![]() ![]() ![]() | Map of Segments |
![]() ![]() ![]() ![]() ![]() | Set of Segments |
![]() ![]() ![]() ![]() ![]() | Base Class for SegmentSet and SegmentMap |
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![]() ![]() ![]() ![]() ![]() | Redirect a stream to another stream |
![]() ![]() ![]() ![]() ![]() | A class for storing a shallow copy of a Range |
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![]() ![]() ![]() ![]() ![]() | Adaptor between pointer and pointee interface |
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![]() ![]() ![]() ![]() ![]() | Identity functor that returns its argument |
![]() ![]() ![]() ![]() ![]() | Functor that behaves like std::less with the exception that it treates NaN as a number larger than infinity |
![]() ![]() ![]() ![]() ![]() | Specialization for DataWeight |
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![]() ![]() ![]() ![]() ![]() | Functor comparing pairs using second |
![]() ![]() ![]() ![]() ![]() | Functor that return std::pair.first |
![]() ![]() ![]() ![]() ![]() | Functor that return std::pair.second |
![]() ![]() ![]() ![]() ![]() | Adaptor using a stride on underlying iterator |
![]() ![]() ![]() ![]() ![]() | Singular Value Decomposition |
![]() ![]() ![]() ![]() ![]() | Wrapper class for storing std::type_info |
![]() ![]() ![]() ![]() ![]() | This is the yat interface to GSL vector |
![]() ![]() ![]() ![]() ![]() | This is the yat interface to GSL vector |
![]() ![]() ![]() ![]() ![]() | Read-only view |
![]() ![]() ![]() ![]() ![]() | This is the mutable interface to GSL vector |
![]() ![]() ![]() ![]() ![]() | This is the yat interface to gsl_vector_view |
![]() ![]() ![]() ![]() ![]() | WeightedIterator |
![]() ![]() ![]() ![]() ![]() | WeightIterator |
![]() ![]() ![]() ![]() ![]() | Weighted Nearest Neighbour Imputation |