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Change Variable Type columnType : Dataset.ColumnType to columnType : TypeInference.DataType in method protected fitX(data Dataset, minColumnValues Map<Object,Double>, maxColumnValues Map<Object,Double>) : void in class com.datumbox.framework.machinelearning.common.bases.datatransformation.BaseDummyMinMaxTransformer |
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Change Variable Type variable2Type : Map<Object,Dataset.ColumnType> to columnTypes : Map<Object,TypeInference.DataType> in method private bivariateMatrix(dataSet Dataset, type BivariateType) : DataTable2D in class com.datumbox.framework.statistics.descriptivestatistics.Bivariate |
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Change Variable Type type : Dataset.ColumnType to type : TypeInference.DataType in method private calculateFeatureWeights(trainingData Dataset) : void in class com.datumbox.framework.machinelearning.clustering.Kmeans |
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Change Variable Type columnTypes : Map<Object,Dataset.ColumnType> to columnTypes : Map<Object,TypeInference.DataType> in method protected extractDummies(data Dataset, referenceLevels Map<Object,Object>) : void in class com.datumbox.framework.machinelearning.common.bases.datatransformation.BaseDummyMinMaxTransformer |
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Change Variable Type entry : Map.Entry<Object,Dataset.ColumnType> to entry : Map.Entry<Object,TypeInference.DataType> in method protected fitX(data Dataset, minColumnValues Map<Object,Double>, maxColumnValues Map<Object,Double>) : void in class com.datumbox.framework.machinelearning.common.bases.datatransformation.BaseDummyMinMaxTransformer |
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Change Variable Type result : Map<Object,Dataset.ColumnType> to result : Map<Object,TypeInference.DataType> in method public testGetColumns() : void in class com.datumbox.common.dataobjects.DatasetTest |
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Change Variable Type columnTypes : Map<Object,Dataset.ColumnType> to columnTypes : Map<Object,TypeInference.DataType> in method public removeRareFeatures(data Dataset, dbc DatabaseConnector, rareFeatureThreshold Integer, featureCounts Map<Object,Double>, ignoringNumericalFeatures boolean) : void in class com.datumbox.framework.machinelearning.common.bases.featureselection.CategoricalFeatureSelection |
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Change Variable Type expResult : Map<Object,Dataset.ColumnType> to expResult : Map<Object,TypeInference.DataType> in method public testGetColumns() : void in class com.datumbox.common.dataobjects.DatasetTest |
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Change Variable Type entry : Map.Entry<Object,Dataset.ColumnType> to entry : Map.Entry<Object,TypeInference.DataType> in method private calculateFeatureWeights(trainingData Dataset) : void in class com.datumbox.framework.machinelearning.clustering.Kmeans |
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Change Variable Type entry : Map.Entry<Object,ColumnType> to entry : Map.Entry<Object,DataType> in method private filterData(data Dataset, dbc DatabaseConnector, featureScores Map<Object,Double>, ignoringNumericalFeatures boolean) : void in class com.datumbox.framework.machinelearning.common.bases.featureselection.CategoricalFeatureSelection |
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Change Variable Type columnTypes : Map<Object,Dataset.ColumnType> to columnTypes : Map<Object,TypeInference.DataType> in method private calculateFeatureWeights(trainingData Dataset) : void in class com.datumbox.framework.machinelearning.clustering.Kmeans |
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Change Variable Type columnTypes : Map<Object,Dataset.ColumnType> to columnTypes : Map<Object,TypeInference.DataType> in method private buildFeatureStatistics(data Dataset, classCounts Map<Object,Integer>, featureClassCounts Map<List<Object>,Integer>, featureCounts Map<Object,Double>) : void in class com.datumbox.framework.machinelearning.common.bases.featureselection.CategoricalFeatureSelection |
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