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PMI schemes and utilities now moved from the Spoon "Data Mining" fold…
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…er to a new "PMI" folder. Version is now at 1.5.
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Mark Hall committed Nov 7, 2019
1 parent db10030 commit a421b64
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2 changes: 1 addition & 1 deletion pom.xml
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<modelVersion>4.0.0</modelVersion>
<groupId>org.pentaho</groupId>
<artifactId>plugin-machine-intelligence</artifactId>
<version>1.4</version>
<version>1.5</version>
<name>Plugin Machine Intelligence for PDI</name>

<properties>
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* @author Mark Hall (mhall{[at]}pentaho{[dot]}com)
* @version $Revision: $
*/
@Step( id = "PMIDecisionTreeClassifier", image = "WEKAS.svg", name = "PMI Decision Tree Classifier", description = "Train and evaluate a decision tree for classification model", categoryDescription = "Data Mining" )
@Step( id = "PMIDecisionTreeClassifier", image = "WEKAS.svg", name = "PMI Decision Tree Classifier", description = "Train and evaluate a decision tree for classification model", categoryDescription = "PMI" )
public class PMIDecisionTreeClassifier extends BaseSupervisedPMIStepMeta {

public PMIDecisionTreeClassifier() {
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* @author Mark Hall (mhall{[at]}pentaho{[dot]}com)
* @version $Revision: $
*/
@Step( id = "PMIDecisionTreeRegressor", image = "WEKAS.svg", name = "PMI Decision Tree Regressor", description = "Train and evaluate a decision tree for regression model", categoryDescription = "Data Mining" )
@Step( id = "PMIDecisionTreeRegressor", image = "WEKAS.svg", name = "PMI Decision Tree Regressor", description = "Train and evaluate a decision tree for regression model", categoryDescription = "PMI" )
public class PMIDecisionTreeRegressor extends BaseSupervisedPMIStepMeta {

public PMIDecisionTreeRegressor() {
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* @author Mark Hall (mhall{[at]}pentaho{[dot]}com)
* @version $Revision: $
*/
@Step( id = "PMIDeepLearningNetwork", image = "WEKAS.svg", name = "PMI Deep learning network", description = "Train and evaluate a deep learning network model", categoryDescription = "Data Mining" )
@Step( id = "PMIDeepLearningNetwork", image = "WEKAS.svg", name = "PMI Deep learning network", description = "Train and evaluate a deep learning network model", categoryDescription = "PMI" )
public class PMIDeepLearningNetwork extends BaseSupervisedPMIStepMeta {

public PMIDeepLearningNetwork() {
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* @author Mark Hall (mhall{[at]}pentaho{[dot]}com)
* @version $Revision: $
*/
@Step( id = "PMIGradientBoostedTrees", image = "WEKAS.svg", name = "PMI Gradient Boosted Trees", description = "Train and evaluate a gradient boosted trees model", categoryDescription = "Data Mining")
@Step( id = "PMIGradientBoostedTrees", image = "WEKAS.svg", name = "PMI Gradient Boosted Trees", description = "Train and evaluate a gradient boosted trees model", categoryDescription = "PMI")
public class PMIGradientBoostedTrees extends BaseSupervisedPMIStepMeta {

public PMIGradientBoostedTrees() {
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* @author Mark Hall (mhall{[at]}pentaho{[dot]}com)
* @version $Revision: $
*/
@Step( id = "PMILinearRegression", image = "WEKAS.svg", name = "PMI Linear Regression", description = "Train and evaluate a linear regression model", categoryDescription = "Data Mining" )
@Step( id = "PMILinearRegression", image = "WEKAS.svg", name = "PMI Linear Regression", description = "Train and evaluate a linear regression model", categoryDescription = "PMI" )
public class PMILinearRegression extends BaseSupervisedPMIStepMeta {

public PMILinearRegression() {
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* @author Mark Hall (mhall{[at]}pentaho{[dot]}com)
* @version $Revision: $
*/
@Step( id = "PMILogisticRegression", image = "WEKAS.svg", name = "PMI Logistic Regression", description = "Train and evaluate a logistic regression model", categoryDescription = "Data Mining" )
@Step( id = "PMILogisticRegression", image = "WEKAS.svg", name = "PMI Logistic Regression", description = "Train and evaluate a logistic regression model", categoryDescription = "PMI" )
public class PMILogisticRegression extends BaseSupervisedPMIStepMeta {

public PMILogisticRegression() {
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* @author Mark Hall (mhall{[at]}pentaho{[dot]}com)
* @version $Revision: $
*/
@Step( id = "PMIMultiLayerPerceptronClassifier", image = "WEKAS.svg", name = "PMI Multi-layer Perceptron Classifier", description = "Train and evaluate a multi-layer perceptron classification model", categoryDescription = "Data Mining" )
@Step( id = "PMIMultiLayerPerceptronClassifier", image = "WEKAS.svg", name = "PMI Multi-layer Perceptron Classifier", description = "Train and evaluate a multi-layer perceptron classification model", categoryDescription = "PMI" )
public class PMIMultiLayerPerceptronClassifier extends BaseSupervisedPMIStepMeta {

public PMIMultiLayerPerceptronClassifier() {
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* @author Mark Hall (mhall{[at]}pentaho{[dot]}com)
* @version $Revision: $
*/
@Step( id = "PMIMultiLayerPerceptronRegressor", image = "WEKAS.svg", name = "PMI Multi-layer Perceptron Regressor", description = "Train and evaluate a multi-layer perceptron regression model", categoryDescription = "Data Mining" )
@Step( id = "PMIMultiLayerPerceptronRegressor", image = "WEKAS.svg", name = "PMI Multi-layer Perceptron Regressor", description = "Train and evaluate a multi-layer perceptron regression model", categoryDescription = "PMI" )
public class PMIMultiLayerPerceptronRegressor extends BaseSupervisedPMIStepMeta {

public PMIMultiLayerPerceptronRegressor() {
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* @author Mark Hall (mhall{[at]}pentaho{[dot]}com)
* @version $Revision: $
*/
@Step( id = "PMINaiveBayes", image = "WEKAS.svg", name = "PMI Naive Bayes", description = "Train and evaluate a naive Bayes model", categoryDescription = "Data Mining")
@Step( id = "PMINaiveBayes", image = "WEKAS.svg", name = "PMI Naive Bayes", description = "Train and evaluate a naive Bayes model", categoryDescription = "PMI")
public class PMINaiveBayes extends BaseSupervisedPMIStepMeta {

public PMINaiveBayes() {
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* @author Mark Hall (mhall{[at]}pentaho{[dot]}com)
* @version $Revision: $
*/
@Step( id = "PMINaiveBayesIncremental", image = "WEKAS.svg", name = "PMI Naive Bayes incremental", description = "Train and evaluate an incremental naive Bayes classifier", categoryDescription = "Data Mining" )
@Step( id = "PMINaiveBayesIncremental", image = "WEKAS.svg", name = "PMI Naive Bayes incremental", description = "Train and evaluate an incremental naive Bayes classifier", categoryDescription = "PMI" )
public class PMINaiveBayesIncremental extends BaseSupervisedPMIStepMeta {

public PMINaiveBayesIncremental() {
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* @author Mark Hall (mhall{[at]}pentaho{[dot]}com)
* @version $Revision: $
*/
@Step( id = "PMINaiveBayesMultinomial", image = "WEKAS.svg", name = "PMI Naive Bayes Multinomial", description = "Train and evaluate a multinomial naive Bayes model", categoryDescription = "Data Mining")
@Step( id = "PMINaiveBayesMultinomial", image = "WEKAS.svg", name = "PMI Naive Bayes Multinomial", description = "Train and evaluate a multinomial naive Bayes model", categoryDescription = "PMI")
public class PMINaiveBayesMultinomial extends BaseSupervisedPMIStepMeta {

public PMINaiveBayesMultinomial() {
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* @author Mark Hall (mhall{[at]}pentaho{[dot]}com)
* @version $Revision: $
*/
@Step( id = "PMIRandomForestClassifier", image = "WEKAS.svg", name = "PMI Random Forest Classifier", description = "Train and evaluate a random forest classification model", categoryDescription = "Data Mining")
@Step( id = "PMIRandomForestClassifier", image = "WEKAS.svg", name = "PMI Random Forest Classifier", description = "Train and evaluate a random forest classification model", categoryDescription = "PMI")
public class PMIRandomForestClassifier extends BaseSupervisedPMIStepMeta {

public PMIRandomForestClassifier() {
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* @author Mark Hall (mhall{[at]}pentaho{[dot]}com)
* @version $Revision: $
*/
@Step( id = "PMIRandomForestRegressor", image = "WEKAS.svg", name = "PMI Random Forest Regressor", description = "Train and evaluate a random forest regression model", categoryDescription = "Data Mining" )
@Step( id = "PMIRandomForestRegressor", image = "WEKAS.svg", name = "PMI Random Forest Regressor", description = "Train and evaluate a random forest regression model", categoryDescription = "PMI" )
public class PMIRandomForestRegressor extends BaseSupervisedPMIStepMeta {

public PMIRandomForestRegressor() {
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* @author Mark Hall (mhall{[at]}pentaho{[dot]}com)
* @version $Revision: $
*/
@Step( id = "PMISVMClassifier", image = "WEKAS.svg", name = "PMI Support Vector Classifier", description = "Train and evaluate a support vector classification model", categoryDescription = "Data Mining")
@Step( id = "PMISVMClassifier", image = "WEKAS.svg", name = "PMI Support Vector Classifier", description = "Train and evaluate a support vector classification model", categoryDescription = "PMI")
public class PMISVMClassifier extends BaseSupervisedPMIStepMeta {

public PMISVMClassifier() {
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* @author Mark Hall (mhall{[at]}pentaho{[dot]}com)
* @version $Revision: $
*/
@Step( id = "PMISVMRegressor", image = "WEKAS.svg", name = "PMI Support Vector Regressor", description = "Train and evaluate a support vector regressor model", categoryDescription = "Data Mining")
@Step( id = "PMISVMRegressor", image = "WEKAS.svg", name = "PMI Support Vector Regressor", description = "Train and evaluate a support vector regressor model", categoryDescription = "PMI")
public class PMISVMRegressor extends BaseSupervisedPMIStepMeta {

public PMISVMRegressor() {
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* @author Mark Hall (mhall{[at]}pentaho{[dot]}com)
* @version $Revision: $
*/
@Step( id = "PMIScoring", image = "WEKAS.svg", name = "PMI Scoring", description = "Score or evaluate a PMI model", categoryDescription = "Data Mining" )
@Step( id = "PMIScoring", image = "WEKAS.svg", name = "PMI Scoring", description = "Score or evaluate a PMI model", categoryDescription = "PMI" )
public class PMIScoringMeta extends BaseStepMeta implements StepMetaInterface {

public static Class<?> PKG = PMIScoringMeta.class;
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* @author Mark Hall (mhall{[at]}pentaho{[dot]}com)
* @version $Revision: $
*/
@Step( id = "SupervisedEvaluator", image = "WEKAS.svg", name = "Supervised Evaluator", description = "Compute supervised evaluation metrics for incoming row data that contains predictions from a learning scheme", categoryDescription = "Data Mining" )
@Step( id = "SupervisedEvaluator", image = "WEKAS.svg", name = "Supervised Evaluator", description = "Compute supervised evaluation metrics for incoming row data that contains predictions from a learning scheme", categoryDescription = "PMI" )
public class SupervisedEvaluatorMeta extends BaseStepMeta implements StepMetaInterface {

protected String m_className = "";
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*/
@Step( id = "PMIFlowExecutor", image = "WEKAS.svg", name = "PMI Flow Executor", description =
"Executes a WEKA Knowledge Flow data "
+ "mining process", documentationUrl = "http://wiki.pentaho.com/display/EAI/Knowledge+Flow", categoryDescription = "Data Mining" )
+ "mining process", documentationUrl = "http://wiki.pentaho.com/display/EAI/Knowledge+Flow", categoryDescription = "PMI" )
public class PMIFlowExecutorMeta extends BaseStepMeta implements StepMetaInterface {

public static Class<?> PKG = PMIFlowExecutorMeta.class;
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* @author Mark Hall (mhall{[at]}pentaho{[dot]}com)
* @version $Revision$
*/
@Step( id = "PMIForecasting", image = "WEKAS.svg", documentationUrl = "http://wiki.pentaho.com/display/EAI/Weka+Forecasting", name = "PMI Forecasting", description = "This step makes time series forecasts from a pre-built WEKA forecasting model", categoryDescription = "Data Mining" )
@Step( id = "PMIForecasting", image = "WEKAS.svg", documentationUrl = "http://wiki.pentaho.com/display/EAI/Weka+Forecasting", name = "PMI Forecasting", description = "This step makes time series forecasts from a pre-built WEKA forecasting model", categoryDescription = "PMI" )
public class PMIForecastingMeta extends BaseStepMeta implements StepMetaInterface {

public static Class<?> PKG = PMIForecastingMeta.class;
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