- generateHeaderMap(int) - Static method in class org.wso2.carbon.ml.core.utils.MLUtils
-
- generateHeaderMap(String, CSVFormat) - Static method in class org.wso2.carbon.ml.core.utils.MLUtils
-
- generateProbabilisticClassificationModelSummary(JavaSparkContext, JavaRDD<LabeledPoint>, JavaRDD<Tuple2<Object, Object>>) - Static method in class org.wso2.carbon.ml.core.spark.algorithms.SparkModelUtils
-
A utility method to generate probabilistic classification model summary
- generateRegressionModelSummary(JavaSparkContext, JavaRDD<LabeledPoint>, JavaRDD<Tuple2<Double, Double>>) - Static method in class org.wso2.carbon.ml.core.spark.algorithms.SparkModelUtils
-
A utility method to generate regression model summary
- getAccuracy() - Method in class org.wso2.carbon.ml.core.spark.MulticlassMetrics
-
- getActual() - Method in class org.wso2.carbon.ml.core.spark.summary.PredictedVsActual
-
- getAlgorithm() - Method in class org.wso2.carbon.ml.core.spark.summary.AnomalyDetectionModelSummary
-
- getAlgorithm() - Method in class org.wso2.carbon.ml.core.spark.summary.ClassClassificationAndRegressionModelSummary
-
- getAlgorithm() - Method in class org.wso2.carbon.ml.core.spark.summary.ClusterModelSummary
-
- getAlgorithm() - Method in class org.wso2.carbon.ml.core.spark.summary.DeeplearningModelSummary
-
- getAlgorithm() - Method in class org.wso2.carbon.ml.core.spark.summary.ProbabilisticClassificationModelSummary
-
- getAlgorithm() - Method in class org.wso2.carbon.ml.core.spark.summary.RecommendationModelSummary
-
- getAlgorithmName(long) - Method in class org.wso2.carbon.ml.core.impl.MLAnalysisHandler
-
- getAlgorithms() - Method in class org.wso2.carbon.ml.core.utils.MLCoreServiceValueHolder
-
- getAlgorithmType(String) - Static method in enum org.wso2.carbon.ml.core.factories.AlgorithmType
-
- getAlgorithmType(long) - Method in class org.wso2.carbon.ml.core.impl.MLAnalysisHandler
-
- getAllAnalysesOfProject(int, String, long) - Method in class org.wso2.carbon.ml.core.impl.MLProjectHandler
-
- getAllDatasets(int, String) - Method in class org.wso2.carbon.ml.core.impl.MLDatasetProcessor
-
- getAllDatasetVersions(int, String, long) - Method in class org.wso2.carbon.ml.core.impl.MLDatasetProcessor
-
- getAllModels(int, String) - Method in class org.wso2.carbon.ml.core.impl.MLModelHandler
-
get all models
- getAllModelsOfAnalysis(int, String, long) - Method in class org.wso2.carbon.ml.core.impl.MLAnalysisHandler
-
- getAllProjects(int, String) - Method in class org.wso2.carbon.ml.core.impl.MLProjectHandler
-
- getAllVersionsetsOfDataset(int, String, long) - Method in class org.wso2.carbon.ml.core.impl.MLDatasetProcessor
-
- getAnalyses(int, String) - Method in class org.wso2.carbon.ml.core.impl.MLAnalysisHandler
-
- getAnalysisOfProject(int, String, long, String) - Method in class org.wso2.carbon.ml.core.impl.MLProjectHandler
-
- getAnomalyLabel() - Method in class org.wso2.carbon.ml.core.spark.models.ext.AnomalyDetectionModel
-
- getAuc() - Method in class org.wso2.carbon.ml.core.spark.summary.ProbabilisticClassificationModelSummary
-
- getBestPercentile() - Method in class org.wso2.carbon.ml.core.spark.summary.AnomalyDetectionModelSummary
-
- getBody() - Method in class org.wso2.carbon.ml.core.internal.EmailTemplate
-
- getChartSamplePoints(int, String, long, String) - Method in class org.wso2.carbon.ml.core.impl.MLDatasetProcessor
-
- getChartSamplePointsOfLatestVersion(int, String, long, String) - Method in class org.wso2.carbon.ml.core.impl.MLDatasetProcessor
-
- getClassClassificationModelSummary(JavaSparkContext, JavaRDD<LabeledPoint>, JavaPairRDD<Double, Double>) - Static method in class org.wso2.carbon.ml.core.spark.algorithms.SparkModelUtils
-
A utility method to generate class classification model summary
- getClusterIndexToDistancesListMap() - Method in class org.wso2.carbon.ml.core.spark.models.ext.AnomalyDetectionModel
-
- getClusterPoints(int, String, long, String, int) - Method in class org.wso2.carbon.ml.core.impl.MLModelHandler
-
- getClusterPoints() - Method in class org.wso2.carbon.ml.core.spark.summary.AnomalyDetectionModelSummary
-
- getClusterPoints() - Method in class org.wso2.carbon.ml.core.spark.summary.ClusterModelSummary
-
- getColumnSeparator() - Method in class org.wso2.carbon.ml.core.internal.MLModelConfigurationContext
-
- getColumnSeparator(String) - Static method in class org.wso2.carbon.ml.core.utils.MLUtils.ColumnSeparatorFactory
-
- getConfigurationContextService() - Method in class org.wso2.carbon.ml.core.utils.MLCoreServiceValueHolder
-
- getContext() - Method in class org.wso2.carbon.ml.core.interfaces.MLModelBuilder
-
- getCSVFormat(String) - Static method in class org.wso2.carbon.ml.core.utils.MLUtils.DataTypeFactory
-
- getCustomizedFeatures(int, String, long, int, int) - Method in class org.wso2.carbon.ml.core.impl.MLAnalysisHandler
-
- getDatabaseService() - Method in class org.wso2.carbon.ml.core.utils.MLCoreServiceValueHolder
-
- getDataset(int, String, long) - Method in class org.wso2.carbon.ml.core.impl.MLDatasetProcessor
-
- getDataset() - Method in class org.wso2.carbon.ml.core.interfaces.DatasetProcessor
-
- getDatasetStorage() - Method in class org.wso2.carbon.ml.core.utils.MLCoreServiceValueHolder
-
- getDatasetType(String) - Static method in enum org.wso2.carbon.ml.core.factories.DatasetType
-
- getDatasetVersion() - Method in class org.wso2.carbon.ml.core.spark.summary.AnomalyDetectionModelSummary
-
- getDatasetVersion() - Method in class org.wso2.carbon.ml.core.spark.summary.ClassClassificationAndRegressionModelSummary
-
- getDatasetVersion() - Method in class org.wso2.carbon.ml.core.spark.summary.ClusterModelSummary
-
- getDatasetVersion() - Method in class org.wso2.carbon.ml.core.spark.summary.DeeplearningModelSummary
-
- getDatasetVersion() - Method in class org.wso2.carbon.ml.core.spark.summary.ProbabilisticClassificationModelSummary
-
- getDatasetVersion() - Method in class org.wso2.carbon.ml.core.spark.summary.RecommendationModelSummary
-
- getDataToBePredicted() - Method in class org.wso2.carbon.ml.core.internal.MLModelConfigurationContext
-
- getDate() - Static method in class org.wso2.carbon.ml.core.utils.MLUtils
-
- getDeepLearningModel() - Method in class org.wso2.carbon.ml.core.spark.models.MLDeeplearningModel
-
Returns the model
- getDeeplearningModelSummary(JavaSparkContext, JavaRDD<LabeledPoint>, JavaPairRDD<Double, Double>) - Static method in class org.wso2.carbon.ml.core.utils.DeeplearningModelUtils
-
A utility method to generate class classification model summary
- getDlModel() - Method in class org.wso2.carbon.ml.core.spark.models.MLDeeplearningModel
-
- getEmailNotificationEndpoint() - Method in class org.wso2.carbon.ml.core.utils.MLCoreServiceValueHolder
-
- getEmailTemplate(String) - Method in class org.wso2.carbon.ml.core.internal.EmailTemplates
-
Returns the template of a email of given type.
- getEmailTemplates() - Method in class org.wso2.carbon.ml.core.internal.EmailTemplates
-
- getEncodings() - Method in class org.wso2.carbon.ml.core.internal.MLModelConfigurationContext
-
- getError() - Method in class org.wso2.carbon.ml.core.spark.summary.ClassClassificationAndRegressionModelSummary
-
- getError() - Method in class org.wso2.carbon.ml.core.spark.summary.DeeplearningModelSummary
-
- getErrorMsg(String, Exception) - Static method in class org.wso2.carbon.ml.core.utils.MLUtils
-
format an error message.
- getEvaluationResults(AnomalyDetectionModel, JavaRDD<Vector>, JavaRDD<Vector>, int, int, String, String) - Method in class org.wso2.carbon.ml.core.spark.algorithms.AnomalyDetectionModelBuilder
-
This method is to evaluate the anomaly detection model
- getF1Score() - Method in class org.wso2.carbon.ml.core.spark.MulticlassMetrics
-
- getFacts() - Method in class org.wso2.carbon.ml.core.internal.MLModelConfigurationContext
-
- getFeatureImportance() - Method in class org.wso2.carbon.ml.core.spark.summary.ClassClassificationAndRegressionModelSummary
-
- getFeatureImportance() - Method in class org.wso2.carbon.ml.core.spark.summary.DeeplearningModelSummary
-
- getFeatureImportance() - Method in class org.wso2.carbon.ml.core.spark.summary.ProbabilisticClassificationModelSummary
-
- getFeatureIndex(String, String, String) - Static method in class org.wso2.carbon.ml.core.utils.MLUtils
-
Retrieve the index of a feature in the dataset.
- getFeatureIndex(String, List<Feature>) - Static method in class org.wso2.carbon.ml.core.utils.MLUtils
-
Retrieve the index of a feature in the dataset.
- getFeatureNames(String, String) - Method in class org.wso2.carbon.ml.core.impl.MLAnalysisHandler
-
- getFeatureNames(String) - Method in class org.wso2.carbon.ml.core.impl.MLAnalysisHandler
-
- getFeatureNames(long, String) - Method in class org.wso2.carbon.ml.core.impl.MLDatasetProcessor
-
- getFeatures() - Method in class org.wso2.carbon.ml.core.spark.summary.AnomalyDetectionModelSummary
-
- getFeatures() - Method in class org.wso2.carbon.ml.core.spark.summary.ClassClassificationAndRegressionModelSummary
-
- getFeatures() - Method in class org.wso2.carbon.ml.core.spark.summary.ClusterModelSummary
-
- getFeatures() - Method in class org.wso2.carbon.ml.core.spark.summary.DeeplearningModelSummary
-
- getFeatures() - Method in class org.wso2.carbon.ml.core.spark.summary.ProbabilisticClassificationModelSummary
-
- getFeatures() - Method in class org.wso2.carbon.ml.core.spark.summary.RecommendationModelSummary
-
- getFeatures(String, CSVFormat) - Static method in class org.wso2.carbon.ml.core.utils.MLUtils
-
- getFeatureSize(String, CSVFormat) - Static method in class org.wso2.carbon.ml.core.utils.MLUtils
-
- getFeatureValues() - Method in class org.wso2.carbon.ml.core.spark.summary.TestResultDataPoint
-
- getFirstLine() - Method in class org.wso2.carbon.ml.core.interfaces.DatasetProcessor
-
- getFirstLine(String) - Static method in class org.wso2.carbon.ml.core.utils.MLUtils
-
- getFooter() - Method in class org.wso2.carbon.ml.core.internal.EmailTemplate
-
- getH2OConf(String) - Method in class org.wso2.carbon.ml.core.impl.H2OConfigurationParser
-
Retrieve the H2O configurations from the repository/conf/etc/h2o-config.xml
- getHdfsUrl() - Method in class org.wso2.carbon.ml.core.utils.MLCoreServiceValueHolder
-
- getHeaderRow() - Method in class org.wso2.carbon.ml.core.internal.MLModelConfigurationContext
-
- getHyperParameters(long, String) - Method in class org.wso2.carbon.ml.core.impl.MLAnalysisHandler
-
- getImputeFeatureIndices(Workflow, List<Integer>, String) - Static method in class org.wso2.carbon.ml.core.utils.MLUtils
-
Retrieve the indices of features where discard row imputaion is applied.
- getIncludedFeatures(Workflow, int) - Static method in class org.wso2.carbon.ml.core.utils.MLUtils
-
- getIncludedFeaturesAfterReordering(Workflow, List<Integer>, int) - Static method in class org.wso2.carbon.ml.core.utils.MLUtils
-
- getIncludedFeaturesMap() - Method in class org.wso2.carbon.ml.core.internal.MLModelConfigurationContext
-
- getInputAdapter(String) - Method in class org.wso2.carbon.ml.core.impl.MLIOFactory
-
- getInstance() - Static method in class org.wso2.carbon.ml.core.utils.MLCoreServiceValueHolder
-
- getKeyByValue(Map<T, E>, E) - Static method in class org.wso2.carbon.ml.core.utils.MLUtils
-
Utility method to get key from value of a map.
- getkMeansModel() - Method in class org.wso2.carbon.ml.core.spark.models.ext.AnomalyDetectionModel
-
- getLabel() - Method in class org.wso2.carbon.ml.core.spark.summary.FeatureImportance
-
- getLabels() - Method in class org.wso2.carbon.ml.core.spark.MulticlassConfusionMatrix
-
- getLines() - Method in class org.wso2.carbon.ml.core.internal.MLModelConfigurationContext
-
- getLinesFromDASTable(String, int, JavaSparkContext) - Static method in class org.wso2.carbon.ml.core.utils.MLUtils
-
- getMatrix() - Method in class org.wso2.carbon.ml.core.spark.MulticlassConfusionMatrix
-
- getMax(String) - Static method in class org.wso2.carbon.ml.core.spark.algorithms.SparkModelUtils
-
- getMaxPercentile() - Method in class org.wso2.carbon.ml.core.spark.summary.AnomalyDetectionModelSummary
-
- getMean(String) - Static method in class org.wso2.carbon.ml.core.spark.algorithms.SparkModelUtils
-
- getMeanSquaredError() - Method in class org.wso2.carbon.ml.core.spark.summary.ClassClassificationAndRegressionModelSummary
-
- getMeanSquaredError() - Method in class org.wso2.carbon.ml.core.spark.summary.DeeplearningModelSummary
-
- getMeanSquaredError() - Method in class org.wso2.carbon.ml.core.spark.summary.RecommendationModelSummary
-
- getMin(String) - Static method in class org.wso2.carbon.ml.core.spark.algorithms.SparkModelUtils
-
- getMinPercentile() - Method in class org.wso2.carbon.ml.core.spark.summary.AnomalyDetectionModelSummary
-
- getMLDatsetVersion(int, long, String, String, String, String) - Static method in class org.wso2.carbon.ml.core.utils.MLUtils
-
- getMlProperties() - Method in class org.wso2.carbon.ml.core.utils.MLCoreServiceValueHolder
-
- getModel(int, String, String) - Method in class org.wso2.carbon.ml.core.impl.MLModelHandler
-
get Model using modelName
- getModel(int, String, long) - Method in class org.wso2.carbon.ml.core.impl.MLModelHandler
-
get Model using modelId
- getModel() - Method in class org.wso2.carbon.ml.core.internal.MLModelConfigurationContext
-
- getModel() - Method in class org.wso2.carbon.ml.core.spark.models.MLAnomalyDetectionModel
-
- getModel() - Method in class org.wso2.carbon.ml.core.spark.models.MLClassificationModel
-
- getModel() - Method in class org.wso2.carbon.ml.core.spark.models.MLDecisionTreeModel
-
- getModel() - Method in class org.wso2.carbon.ml.core.spark.models.MLGeneralizedLinearModel
-
- getModel() - Method in class org.wso2.carbon.ml.core.spark.models.MLKMeansModel
-
- getModel() - Method in class org.wso2.carbon.ml.core.spark.models.MLMatrixFactorizationModel
-
- getModel() - Method in class org.wso2.carbon.ml.core.spark.models.MLRandomForestModel
-
- getModelAccuracy(MulticlassMetrics) - Method in class org.wso2.carbon.ml.core.spark.algorithms.SupervisedSparkModelBuilder
-
This method gets model accuracy from given multi-class metrics
- getModelAccuracy() - Method in class org.wso2.carbon.ml.core.spark.summary.ClassClassificationAndRegressionModelSummary
-
- getModelAccuracy() - Method in class org.wso2.carbon.ml.core.spark.summary.DeeplearningModelSummary
-
- getModelAccuracy() - Method in class org.wso2.carbon.ml.core.spark.summary.ProbabilisticClassificationModelSummary
-
- getModelBuilder(String, MLModelConfigurationContext) - Static method in class org.wso2.carbon.ml.core.factories.ModelBuilderFactory
-
- getModelId() - Method in class org.wso2.carbon.ml.core.internal.MLModelConfigurationContext
-
- getModelRegistryLocation() - Method in class org.wso2.carbon.ml.core.utils.MLCoreServiceValueHolder
-
- getModelStorage() - Method in class org.wso2.carbon.ml.core.utils.MLCoreServiceValueHolder
-
- getModelSummary(long) - Method in class org.wso2.carbon.ml.core.impl.MLModelHandler
-
Get the summary of a model
- getModelSummaryType() - Method in class org.wso2.carbon.ml.core.spark.summary.AnomalyDetectionModelSummary
-
- getModelSummaryType() - Method in class org.wso2.carbon.ml.core.spark.summary.ClassClassificationAndRegressionModelSummary
-
- getModelSummaryType() - Method in class org.wso2.carbon.ml.core.spark.summary.ClusterModelSummary
-
- getModelSummaryType() - Method in class org.wso2.carbon.ml.core.spark.summary.DeeplearningModelSummary
-
- getModelSummaryType() - Method in class org.wso2.carbon.ml.core.spark.summary.ProbabilisticClassificationModelSummary
-
- getModelSummaryType() - Method in class org.wso2.carbon.ml.core.spark.summary.RecommendationModelSummary
-
- getMulticlassConfusionMatrix(MulticlassMetrics, MLModel) - Method in class org.wso2.carbon.ml.core.spark.algorithms.SupervisedSparkModelBuilder
-
This method returns multiclass confusion matrix for a given multiclass metric object
- getMulticlassConfusionMatrix() - Method in class org.wso2.carbon.ml.core.spark.MulticlassMetrics
-
- getMulticlassConfusionMatrix() - Method in class org.wso2.carbon.ml.core.spark.summary.ClassClassificationAndRegressionModelSummary
-
- getMulticlassConfusionMatrix() - Method in class org.wso2.carbon.ml.core.spark.summary.DeeplearningModelSummary
-
- getMulticlassConfusionMatrix() - Method in class org.wso2.carbon.ml.core.spark.summary.ProbabilisticClassificationModelSummary
-
- getMulticlassMetrics(JavaSparkContext, JavaPairRDD<Double, Double>) - Method in class org.wso2.carbon.ml.core.spark.algorithms.SupervisedSparkModelBuilder
-
This method gets multi class metrics for a given set of prediction and label values
- getName() - Method in class org.wso2.carbon.ml.core.h2o.H2OProperty
-
- getName() - Method in class org.wso2.carbon.ml.core.spark.SparkProperty
-
- getNewAnomalyLabel(long) - Method in class org.wso2.carbon.ml.core.impl.MLAnalysisHandler
-
- getNewNormalLabel(long) - Method in class org.wso2.carbon.ml.core.impl.MLAnalysisHandler
-
- getNewToOldIndicesList() - Method in class org.wso2.carbon.ml.core.internal.MLModelConfigurationContext
-
- getNormalization(long) - Method in class org.wso2.carbon.ml.core.impl.MLAnalysisHandler
-
- getNormalLabel() - Method in class org.wso2.carbon.ml.core.spark.models.ext.AnomalyDetectionModel
-
- getNormalLabels(long) - Method in class org.wso2.carbon.ml.core.impl.MLAnalysisHandler
-
- getObservations(long) - Method in class org.wso2.carbon.ml.core.impl.MLAnalysisHandler
-
- getOutputAdapter(String) - Method in class org.wso2.carbon.ml.core.impl.MLIOFactory
-
- getOutputEventAdapterService() - Method in class org.wso2.carbon.ml.core.utils.MLCoreServiceValueHolder
-
- getPatternFromDelimiter(String) - Static method in class org.wso2.carbon.ml.core.utils.MLUtils
-
Generates a pattern to represent CSV or TSV format.
- getPercentileToMulticlassMetricsMap() - Method in class org.wso2.carbon.ml.core.spark.summary.AnomalyDetectionModelSummary
-
- getPMMLExportable() - Method in interface org.wso2.carbon.ml.core.interfaces.PMMLModelContainer
-
- getPMMLExportable() - Method in class org.wso2.carbon.ml.core.spark.models.MLClassificationModel
-
- getPMMLExportable() - Method in class org.wso2.carbon.ml.core.spark.models.MLGeneralizedLinearModel
-
- getPMMLExportable() - Method in class org.wso2.carbon.ml.core.spark.models.MLKMeansModel
-
- getPrecision() - Method in class org.wso2.carbon.ml.core.spark.MulticlassMetrics
-
- getPredicted() - Method in class org.wso2.carbon.ml.core.spark.summary.PredictedVsActual
-
- getPredictedVsActual() - Method in class org.wso2.carbon.ml.core.spark.summary.TestResultDataPoint
-
- getPredictedVsActuals() - Method in class org.wso2.carbon.ml.core.spark.summary.DeeplearningModelSummary
-
- getProductRecommendations(int, String, long, int, int) - Method in class org.wso2.carbon.ml.core.impl.MLModelHandler
-
- getProductVariable(long) - Method in class org.wso2.carbon.ml.core.impl.MLAnalysisHandler
-
- getProject(int, String, String) - Method in class org.wso2.carbon.ml.core.impl.MLProjectHandler
-
- getProject(int, String, long) - Method in class org.wso2.carbon.ml.core.impl.MLProjectHandler
-
- getProjectModels(int, String, long) - Method in class org.wso2.carbon.ml.core.impl.MLProjectHandler
-
- getProperties() - Method in class org.wso2.carbon.ml.core.h2o.H2OSettings
-
- getProperties() - Method in class org.wso2.carbon.ml.core.spark.SparkSettings
-
- getProperties(List<MLProperty>) - Static method in class org.wso2.carbon.ml.core.utils.MLUtils
-
- getProperty() - Method in class org.wso2.carbon.ml.core.h2o.H2OProperty
-
- getProperty() - Method in class org.wso2.carbon.ml.core.spark.SparkProperty
-
- getRatingVariable(long) - Method in class org.wso2.carbon.ml.core.impl.MLAnalysisHandler
-
- getRecall() - Method in class org.wso2.carbon.ml.core.spark.MulticlassMetrics
-
- getResponseIndex() - Method in class org.wso2.carbon.ml.core.internal.MLModelConfigurationContext
-
- getResponseVariable(long) - Method in class org.wso2.carbon.ml.core.impl.MLAnalysisHandler
-
- getRoc() - Method in class org.wso2.carbon.ml.core.spark.summary.ProbabilisticClassificationModelSummary
-
- getSample(String, String, int, boolean) - Static method in class org.wso2.carbon.ml.core.utils.MLUtils
-
Generate a random sample of the dataset using Spark.
- getSampleFromDAS(String, int, String, int) - Static method in class org.wso2.carbon.ml.core.utils.MLUtils
-
Generate a random sample of the dataset using Spark.
- getSamplePoints(int, String, long) - Method in class org.wso2.carbon.ml.core.impl.MLDatasetProcessor
-
- getScatterPlotPoints(ScatterPlotPoints) - Method in class org.wso2.carbon.ml.core.impl.MLDatasetProcessor
-
- getScatterPlotPointsOfLatestVersion(long, ScatterPlotPoints) - Method in class org.wso2.carbon.ml.core.impl.MLDatasetProcessor
-
- getSize() - Method in class org.wso2.carbon.ml.core.spark.MulticlassConfusionMatrix
-
- getSparkClasspath(String, String) - Static method in class org.wso2.carbon.ml.core.utils.ComputeClasspath
-
- getSparkClasspathAbsolute(String, String) - Static method in class org.wso2.carbon.ml.core.utils.ComputeClasspath
-
- getSparkClasspathJarsArray(String, String) - Static method in class org.wso2.carbon.ml.core.utils.ComputeClasspath
-
- getSparkConf(String) - Method in class org.wso2.carbon.ml.core.impl.SparkConfigurationParser
-
Retrieve the Spark configurations from the repository/conf/etc/spark-config.xml
- getSparkConf() - Method in class org.wso2.carbon.ml.core.utils.MLCoreServiceValueHolder
-
- getSparkContext() - Method in class org.wso2.carbon.ml.core.internal.MLModelConfigurationContext
-
- getSparkContext() - Method in class org.wso2.carbon.ml.core.utils.MLCoreServiceValueHolder
-
- getSubject() - Method in class org.wso2.carbon.ml.core.internal.EmailTemplate
-
- getSummarizedFeatures(int, String, long, int, int) - Method in class org.wso2.carbon.ml.core.impl.MLAnalysisHandler
-
- getSummaryStats(int, String, long, String) - Method in class org.wso2.carbon.ml.core.impl.MLAnalysisHandler
-
- getSummaryStats(long, String) - Method in class org.wso2.carbon.ml.core.impl.MLDatasetProcessor
-
- getSummaryStatSettings() - Method in class org.wso2.carbon.ml.core.utils.MLCoreServiceValueHolder
-
- getSummaryStatsOfFeatures() - Method in class org.wso2.carbon.ml.core.internal.MLModelConfigurationContext
-
- getTargetPath(String) - Method in class org.wso2.carbon.ml.core.impl.MLIOFactory
-
- getTargetPath() - Method in class org.wso2.carbon.ml.core.interfaces.DatasetProcessor
-
- getTestDataComputeCost() - Method in class org.wso2.carbon.ml.core.spark.summary.ClusterModelSummary
-
- getTestResultDataPointsSample() - Method in class org.wso2.carbon.ml.core.spark.summary.ClassClassificationAndRegressionModelSummary
-
- getTestResultDataPointsSample() - Method in class org.wso2.carbon.ml.core.spark.summary.DeeplearningModelSummary
-
- getTestResultDataPointsSample() - Method in class org.wso2.carbon.ml.core.spark.summary.ProbabilisticClassificationModelSummary
-
- getThreadExecutor() - Method in class org.wso2.carbon.ml.core.utils.MLCoreServiceValueHolder
-
- getTrainDataComputeCost() - Method in class org.wso2.carbon.ml.core.spark.summary.ClusterModelSummary
-
- getTrainDataFraction(long) - Method in class org.wso2.carbon.ml.core.impl.MLAnalysisHandler
-
- getType() - Method in class org.wso2.carbon.ml.core.interfaces.DatasetProcessor
-
- getType() - Method in class org.wso2.carbon.ml.core.internal.EmailTemplate
-
- getURIStringForLocation(String) - Method in class org.wso2.carbon.ml.core.spark.models.MLDeeplearningModel
-
- getUserRecommendations(int, String, long, int, int) - Method in class org.wso2.carbon.ml.core.impl.MLModelHandler
-
- getUserVariable(long) - Method in class org.wso2.carbon.ml.core.impl.MLAnalysisHandler
-
- getValue() - Method in enum org.wso2.carbon.ml.core.factories.AlgorithmType
-
- getValue() - Method in enum org.wso2.carbon.ml.core.factories.DatasetType
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- getValue() - Method in class org.wso2.carbon.ml.core.spark.summary.FeatureImportance
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- getVersionset(int, String, long) - Method in class org.wso2.carbon.ml.core.impl.MLDatasetProcessor
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- getVersionSetWithVersion(int, String, long, String) - Method in class org.wso2.carbon.ml.core.impl.MLDatasetProcessor
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- takeSample() - Method in class org.wso2.carbon.ml.core.impl.DASDatasetProcessor
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- takeSample() - Method in class org.wso2.carbon.ml.core.impl.FileDatasetProcessor
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- takeSample() - Method in class org.wso2.carbon.ml.core.impl.HdfsDatasetProcessor
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- takeSample() - Method in class org.wso2.carbon.ml.core.interfaces.DatasetProcessor
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Take a random sample of the dataset.
- TARGET_HOME_PROP - Static variable in class org.wso2.carbon.ml.core.utils.MLConstants
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- test(AnomalyDetectionModel, Vector, int) - Method in class org.wso2.carbon.ml.core.spark.algorithms.AnomalyDetection
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This method applies a anomaly detection model to a given dataset
- test(AnomalyDetectionModel, JavaRDD<Vector>, int) - Method in class org.wso2.carbon.ml.core.spark.algorithms.AnomalyDetection
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This method applies a anomaly detection model to a given dataset
- test(AnomalyDetectionModel, Vector, int, int) - Method in class org.wso2.carbon.ml.core.spark.algorithms.AnomalyDetection
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This method applies a anomaly detection model to a given dataset for a range of percentile values
- test(AnomalyDetectionModel, JavaRDD<Vector>, int, int) - Method in class org.wso2.carbon.ml.core.spark.algorithms.AnomalyDetection
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This method applies a anomaly detection model to a given dataset for a range of percentile values
- test(DecisionTreeModel, JavaRDD<LabeledPoint>) - Method in class org.wso2.carbon.ml.core.spark.algorithms.DecisionTree
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This method applies a decision tree model to a given dataset
- test(KMeansModel, JavaRDD<Vector>) - Method in class org.wso2.carbon.ml.core.spark.algorithms.KMeans
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This method applies a kmeans model to a given dataset
- test(LassoModel, JavaRDD<LabeledPoint>) - Method in class org.wso2.carbon.ml.core.spark.algorithms.LassoRegression
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This method applies lasso regression using a given model and a dataset
- test(LinearRegressionModel, JavaRDD<LabeledPoint>) - Method in class org.wso2.carbon.ml.core.spark.algorithms.LinearRegression
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This method applies linear regression using a given model and a dataset
- test(LogisticRegressionModel, JavaRDD<LabeledPoint>) - Method in class org.wso2.carbon.ml.core.spark.algorithms.LogisticRegression
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This method performs a binary classification using a given model and a dataset
- test(NaiveBayesModel, JavaRDD<LabeledPoint>) - Method in class org.wso2.carbon.ml.core.spark.algorithms.NaiveBayesClassifier
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This method applies a naive bayes model to a given dataset
- test(RandomForestModel, JavaRDD<LabeledPoint>) - Method in class org.wso2.carbon.ml.core.spark.algorithms.RandomForestClassifier
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This method applies a random forest model to a given dataset
- test(RandomForestModel, JavaRDD<LabeledPoint>) - Method in class org.wso2.carbon.ml.core.spark.algorithms.RandomForestRregression
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This method applies a random forest model to a given dataset
- test(RidgeRegressionModel, JavaRDD<LabeledPoint>) - Method in class org.wso2.carbon.ml.core.spark.algorithms.RidgeRegression
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This method applies ridge regression using a given model and a dataset
- test(JavaSparkContext, DeepLearningModel, JavaRDD<LabeledPoint>, MLModel) - Method in class org.wso2.carbon.ml.core.spark.algorithms.StackedAutoencodersClassifier
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This method applies a stacked autoencoders model to a given dataset and make predictions
- test(SVMModel, JavaRDD<LabeledPoint>) - Method in class org.wso2.carbon.ml.core.spark.algorithms.SVM
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This method performs a binary classification using a given SVM model and a dataset.
- test(MatrixFactorizationModel, JavaRDD<Rating>) - Method in class org.wso2.carbon.ml.core.spark.recommendation.CollaborativeFiltering
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- TestResultDataPoint - Class in org.wso2.carbon.ml.core.spark.summary
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DTO class to store features, predicted and actual values of a single test dataset row
- TestResultDataPoint() - Constructor for class org.wso2.carbon.ml.core.spark.summary.TestResultDataPoint
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- toDoubleArray(String[]) - Static method in class org.wso2.carbon.ml.core.utils.MLUtils
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- TokensToVectors - Class in org.wso2.carbon.ml.core.spark.transformations
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This class transforms string array of tokens to vectors
- TokensToVectors.Builder - Class in org.wso2.carbon.ml.core.spark.transformations
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- TokensToVectors.Builder() - Constructor for class org.wso2.carbon.ml.core.spark.transformations.TokensToVectors.Builder
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- toString() - Method in class org.wso2.carbon.ml.core.spark.MulticlassConfusionMatrix
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- train(JavaRDD<Vector>, int, int, String, String) - Method in class org.wso2.carbon.ml.core.spark.algorithms.AnomalyDetection
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This methods trains Anomaly detection model
- train(JavaRDD<LabeledPoint>, int, Map<Integer, Integer>, String, int, int) - Method in class org.wso2.carbon.ml.core.spark.algorithms.DecisionTree
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This method trains a decision tree model
- train(JavaRDD<Vector>, int, int, int, String) - Method in class org.wso2.carbon.ml.core.spark.algorithms.KMeans
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This method trains a k-means clustering model
- train(JavaRDD<Vector>, int, int) - Method in class org.wso2.carbon.ml.core.spark.algorithms.KMeans
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This method trains a k-means clustering model - overload method with 3 parameters
- train(JavaRDD<LabeledPoint>, int, double, double, double) - Method in class org.wso2.carbon.ml.core.spark.algorithms.LassoRegression
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This method uses stochastic gradient descent (SGD) algorithm to train a lasso regression model
- train(JavaRDD<LabeledPoint>, int, double, double) - Method in class org.wso2.carbon.ml.core.spark.algorithms.LinearRegression
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This method uses stochastic gradient descent (SGD) algorithm to train a linear regression model
- train(JavaRDD<LabeledPoint>, int) - Method in class org.wso2.carbon.ml.core.spark.algorithms.LinearRegression
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Linear regression train - overload method with 1 parameter
- train(JavaRDD<LabeledPoint>, double) - Method in class org.wso2.carbon.ml.core.spark.algorithms.NaiveBayesClassifier
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This method trains a naive bayes model
- train(JavaRDD<LabeledPoint>, int, Map<Integer, Integer>, int, String, String, int, int, int) - Method in class org.wso2.carbon.ml.core.spark.algorithms.RandomForestClassifier
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This method trains a Random Forest model
- train(JavaRDD<LabeledPoint>, Map<Integer, Integer>, int, String, String, int, int, int) - Method in class org.wso2.carbon.ml.core.spark.algorithms.RandomForestRregression
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This method trains a Random Forest Rregression Model model
- train(JavaRDD<LabeledPoint>, int, double, double, double) - Method in class org.wso2.carbon.ml.core.spark.algorithms.RidgeRegression
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This method uses stochastic gradient descent (SGD) algorithm to train a ridge regression model
- train(JavaRDD<LabeledPoint>, int, int[], String, int, String, String, MLModel, long) - Method in class org.wso2.carbon.ml.core.spark.algorithms.StackedAutoencodersClassifier
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This method trains a stacked autoencoder
- train(JavaRDD<LabeledPoint>, int, String, double, double, double) - Method in class org.wso2.carbon.ml.core.spark.algorithms.SVM
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This method uses stochastic gradient descent (SGD) algorithm to train a support vector machine (SVM) model.
- train(JavaRDD<LabeledPoint>, int, double) - Method in class org.wso2.carbon.ml.core.spark.algorithms.SVM
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SVM train - overload method with 2 parameters.
- trainExplicit(JavaRDD<Rating>, int, int, double, int) - Method in class org.wso2.carbon.ml.core.spark.recommendation.CollaborativeFiltering
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This method uses alternating least squares (ALS) algorithm to train a matrix factorization model given an JavaRDD
of ratings given by users to some products.
- trainImplicit(JavaRDD<Rating>, int, int, double, double, int) - Method in class org.wso2.carbon.ml.core.spark.recommendation.CollaborativeFiltering
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This method uses alternating least squares (ALS) algorithm to train a matrix factorization model given an JavaRDD
of 'implicit preferences' given by users to some products.
- trainWithLBFGS(JavaRDD<LabeledPoint>, String, int) - Method in class org.wso2.carbon.ml.core.spark.algorithms.LogisticRegression
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This method uses LBFGS optimizer to train a logistic regression model for a given dataset
- trainWithSGD(JavaRDD<LabeledPoint>, double, int, String, double, double) - Method in class org.wso2.carbon.ml.core.spark.algorithms.LogisticRegression
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TODO add another overloaded method to avoid Regularization.