Calculates the strength between pairs of variables or sets of variables. Can be used to detect link strengths.
Options that affect the link strength algorithm.
Contains the results of an Association analysis.
Defines two sets of variables to be analyzed by the Association algorithm.
Contains the results of the association calculations between two sets of variables.
Uses comparison queries to automatically derive insight about a target variable from a trained network.
Options that affect auto-insight calculations.
Contains the results obtained from AutoInsight.
Options that affect any sampling required during auto-insight calculations.
Contains the results obtained from AutoInsight for each test variable.
Represents a collection of AutoInsightStateOutput instances.
Represents the output obtained from AutoInsight for a test variable.
Represents a collection of AutoInsightVariableOutput instances.
Methods to determine the number of clusters (discrete states of a latent variable).
Options used by ClusterCount.
Output information returned from ClusterCount.
Contains the results of a cluster configuration returned from ClusterCount.
Determines which combinations are generated by Combinations.
Generates the available state combinations for a set of variables or counts.
Calculates a confusion matrix for a network which is used to predict discrete values (classification).
Contains statistics about a cell in a ConfusionMatrix.
Exception raised when parameter tuning attempts to solve for a constraint that cannot be satisfied by the change(s) in parameters.
Exception raised when parameter tuning attempts to solve for a constraint that is already true.
Methods to convert covariance matrices to correlation matrices.
Represents an empirical density function built from a histogram, which can represent arbitrary univariate distributions.
Options for learning a histogram based empirical density.
Analyzes the impact of evidence.
Output information about the hypothesis variable/state from an Impact analysis.
Options affecting how Impact analysis calculations are performed.
Contains the results of an Impact analysis.
The output from an impact analysis, for a particular subset of evidence.
Detects in-sample anomalies in a data set.
Options used by InSampleAnomalyDetection.
Output used by InSampleAnomalyDetection.
Represents a lift chart, used to measure predictive performance.
Represents an XY coordinate in a lift chart.
Analyzes the log-likelihood for different evidence subsets.
Output information about the log-likelihood from a log-likelihood analysis.
Options affecting how Log-Likelihood analysis calculations are performed.
Contains the results of a Log-Likelihood analysis.
The output from a Log-Likelihood analysis, for a particular subset of evidence.
References a parameter in a node distribution.
Calculates how a parameter can be updated so that the resulting value of a hypothesis is within a given range.
Represents the result of one way parameter tuning.
Calculates statistics for a network which is used to predict continuous values (regression).
Represents the result on a one-way sensitivity to parameters analysis. The sensitivity function = P(h|e)(t) where h is the hypothesis state, e is the evidence, and t is the parameter being analyzed.
Represents the result on a two-way sensitivity to parameters analysis. The sensitivity function = P(h|e)(t1, t2) where h is the hypothesis state, e is the evidence, and t1 and t2 are the the parameters being analyzed.
Calculates the affect of one or more parameters on the value of a hypothesis.
Contains methods to determine what new evidence is most likely to reduce the uncertainty of a variable.
Options for calculating ValueOfInformation.
Contains the results of the tests carried out using ValueOfInformation.
Contains information about a variable tested via ValueOfInformation.
Represents an empirical density function, which can represent arbitrary univariate distributions.
Determines the type of Jensen Shannon divergence calculations, if any, performed during an auto insight analysis.
Determines the type of KL divergence calculations, if any, performed during an auto insight analysis.
Determines how subsets are determined during impact analysis.
Determines how subsets are determined during a Log-Likelihood analysis.
The type of value of information statistic calculated.