Novacta.Analytics Namespace

Represents a Bernoulli distribution.

Represents a collection of observations for a set of categorical variables

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.

Represents a classifier that exploits an ensemble of categorical entailments to assign labels to items from a given feature space.

Represents a statistical variable that can take on one of a fixed number of possible values.

Represents a value that can be taken on by a categorical variable.

Provides methods to analyze clusters in a data set.

Represents a collection of complex values arranged in rows and columns. Provides methods to operate algebraically on matrices.

Represents a row in a matrix of complex values.

Represents a collection of rows from a ComplexMatrix.

Provides methods for minimizing or maximizing a function.

Represents the results of a correspondence analysis applied to a data table having positive marginal sums.

Serializes and deserializes matrix objects into and from CSV documents.

Serializes and deserializes matrix objects into and from CSV documents.

Serializes and deserializes matrix objects into and from CSV documents.

Provides methods to summarize distances within and between sets of multidimensional points.

Represents a collection of doubles arranged in rows and columns. Provides methods to operate algebraically on matrices.

Represents a row in a matrix of doubles.

Represents a collection of rows from a DoubleMatrix.

Represents an Exponential distribution.

Represents a finite discrete distribution.

Represents a Gaussian distribution.

Represents a Generalized Pareto distribution.

Represents a collection of integers for zero-based matrix indexing.

Provides static methods for creating index partition objects and for their evaluation in terms of linkage among parts.

Represents a collection of non empty, mutually exclusive subsets of a range of zero-based indexes.

Provides methods to support the JSON serialization of types defined in the Novacta.Analytics namespace.

Represents the multiple correspondence of a categorical data set.

Provides methods to numerically approximate first or second order derivatives of functions having multidimensional arguments.

Represents the principal components of a data matrix.

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.

Represents a probability distribution.

Represents a device whose operations need a RandomNumberGenerator.

Provides methods to randomly permute the elements in an IndexCollection instance.

Represents a pseudo-random number generator.

Provides methods to draw samples having the specified size from a finite population.

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.

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.

Provides methods to randomly select samples from a finite population where all samples of a given size share the same probability to be selected.

Represents the results of sorting operations applied to matrix entries and to their corresponding linear indexes.

Provides methods representing some functions commonly accepted as special.

Provides static methods for common statistical functions.

Provides methods to draw samples from a finite population whose units have unequal probabilities of being inserted in a sample.

Represents a Uniform distribution.

Defines an index/value pair.

Defines properties to evaluate patterns in complex matrices.

Defines properties to evaluate matrix patterns.

Defines methods to manipulate read-only collections whose elements are arranged in rows and columns.

Defines methods to manipulate collections whose elements are arranged in rows and columns.

Encapsulates a method that assigns a category label to a numerical value having the specified string representation in a specific culture.

Contains constants for controlling if an operation must be executed on the rows or the columns of a data matrix.

Contains constants indicating whether to sort in ascending or descending order.

Specifies a linear ordering by which matrix entries are stored.

Specifies the scheme followed when storing matrix entries