| BernoulliDistribution |
Represents a Bernoulli distribution.
|
| CategoricalDataSet |
Represents a collection of observations for a set of
categorical variables
|
| CategoricalEntailment |
Represents a collection of premises about a set of feature
categorical variables that implies a specific response category.
The conclusion is entailed by the premises with an eventually
partial truth value, ranging between completely false to
completely true.
|
| CategoricalEntailmentEnsembleClassifier |
Represents a classifier that exploits an ensemble of categorical
entailments to assign labels to items from a given feature
space.
|
| CategoricalVariable |
Represents a statistical variable that can take on one of a
fixed number of possible values.
|
| Category |
Represents a value that can be taken on by a categorical variable.
|
| ClassicalMultidimensionalScaling |
Represents a classical multidimensional scaling analysis.
|
| Clusters |
Provides methods to analyze clusters
in a data set.
|
| ComplexMatrix |
Represents a collection of complex values arranged in rows and columns.
Provides methods to operate algebraically on matrices.
|
| ComplexMatrixRow |
Represents a row in a matrix of complex values.
|
| ComplexMatrixRowCollection |
Represents a collection of rows from a ComplexMatrix.
|
| ContinuousOptimization |
Provides methods for minimizing or maximizing a function.
|
| Correspondence |
Represents the results of a correspondence analysis applied to
a data table having positive marginal sums.
|
| CsvComplexMatrixSerializer |
Serializes and deserializes matrix objects into and from CSV documents.
|
| CsvDoubleMatrixSerializer |
Serializes and deserializes matrix objects into and from CSV documents.
|
| CsvMatrixSerializer |
Serializes and deserializes matrix objects into and from CSV documents.
Obsolete. |
| Distance |
Provides methods to summarize distances within and between
sets of multidimensional points.
|
| DoubleMatrix |
Represents a collection of doubles arranged in rows and columns.
Provides methods to operate algebraically on matrices.
|
| DoubleMatrixRow |
Represents a row in a matrix of doubles.
|
| DoubleMatrixRowCollection |
Represents a collection of rows from a DoubleMatrix.
|
| ExponentialDistribution |
Represents an Exponential distribution.
|
| FiniteDiscreteDistribution |
Represents a finite discrete distribution.
|
| GaussianDistribution |
Represents a Gaussian distribution.
|
| GeneralizedParetoDistribution |
Represents a Generalized Pareto distribution.
|
| IndexCollection |
Represents a collection of integers for zero-based matrix indexing.
|
| IndexPartition |
Provides static methods for creating index partition objects and for their
evaluation in terms of linkage among parts.
|
| IndexPartitionT |
Represents a collection of non empty, mutually exclusive subsets
of a range of zero-based indexes.
|
| JsonSerialization |
Provides methods to support the JSON serialization of types
defined in the Novacta.Analytics namespace.
|
| MultipleCorrespondence |
Represents the multiple correspondence of a categorical data set.
|
| NonMetricMultidimensionalScaling |
Represents a nonmetric multidimensional scaling analysis.
|
| NumericalDifferentiation |
Provides methods to numerically approximate
first or second order derivatives of
functions having multidimensional
arguments.
|
| PrincipalComponents |
Represents the principal components of a data matrix.
|
| PrincipalProjections |
Represents the principal projections of a set of
multidimensional, weighted points,
and supports their elaboration in terms of
directions, coordinates, variances, and point contributions
to the overall variability.
|
| ProbabilityDistribution |
Represents a probability distribution.
|
| RandomDevice |
Represents a device whose operations need
a RandomNumberGenerator.
|
| RandomIndexPermutation |
Provides methods to randomly permute the elements
in an IndexCollection instance.
|
| RandomNumberGenerator |
Represents a pseudo-random number generator.
|
| RandomSampling |
Provides methods to draw samples having the specified
size from a finite population.
|
| ReadOnlyComplexMatrix |
Represents a read only collection of complex values arranged in rows and columns.
Provides methods to operate algebraically on matrices when operands are
both writable and read only.
|
| ReadOnlyDoubleMatrix |
Represents a read only collection of doubles arranged in rows and columns.
Provides methods to operate algebraically on matrices when operands are
both writable and read only.
|
| SimpleRandomSampling |
Provides methods to randomly select samples from a finite population
where all samples of a given size share the same probability
to be selected.
|
| SortIndexResults |
Represents the results of sorting operations applied to
matrix entries and to their corresponding linear indexes.
|
| SpecialFunctions |
Provides methods representing some functions
commonly accepted as special.
|
| Stat |
Provides static methods for common statistical functions.
|
| UnequalProbabilityRandomSampling |
Provides methods to draw samples from a finite population
whose units have unequal probabilities
of being inserted in a sample.
|
| UniformDistribution |
Represents a Uniform distribution.
|
