Package com.imsl.test.example.datamining
package com.imsl.test.example.datamining
Data mining examples.
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ClassesClassDescriptionFinds frequent itemsets and strong association rules for a small set of transactions.Applies the Apriori algorithm to separate sets of transactions.Performs bootstrap aggregation on a decision tree.Performs bootstrap aggregation on a logistic regression model.Uses cross-validation to determine the optimally pruned decision tree.Predicts a regression response variable based on 6 predictor variables.Predicts a binary response variable based on 4 predictor variables.Selects the number of iterations using cross-validation.Uses an input model to set the configuration of the base learner.Uses a trained gradient boosting model to predict a new data set.Reads in a trained gradient boosting model object to predict a new data set.Creates and trains a Kohonen self-organizing map.Trains a logistic regression model for a binomial response variable.Trains a logistic regression model for a multinomial response.Trains a logistic regression model for multinomial count data.Uses a trained logistic regression model to predict new data.Aggregates two separate fits of logistic regression.Trains a classifier to Fisher's Iris data.Trains a classifier on nominal (categorical) attributes.Trains a classifier with a user supplied probability function.Defines the user supplied probability distribution.Finds sequential patterns in a sequence database.Finds sequential patterns in a sequence database.Creates a sequence database from a transaction database.