public class ProbabilisticClassificationModelSummary extends Object implements org.wso2.carbon.ml.commons.domain.ModelSummary, Serializable
Constructor and Description |
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ProbabilisticClassificationModelSummary() |
Modifier and Type | Method and Description |
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String |
getAlgorithm() |
double |
getAuc() |
String |
getDatasetVersion() |
List<FeatureImportance> |
getFeatureImportance() |
String[] |
getFeatures() |
double |
getModelAccuracy() |
String |
getModelSummaryType() |
MulticlassConfusionMatrix |
getMulticlassConfusionMatrix() |
String |
getRoc() |
List<TestResultDataPoint> |
getTestResultDataPointsSample() |
void |
setAlgorithm(String algorithm) |
void |
setAuc(double auc) |
void |
setDatasetVersion(String datasetVersion) |
void |
setFeatureImportance(List<FeatureImportance> featureImportance) |
void |
setFeatures(String[] features) |
void |
setModelAccuracy(double modelAccuracy) |
void |
setMulticlassConfusionMatrix(MulticlassConfusionMatrix multiclassConfusionMatrix) |
void |
setRoc(String roc) |
void |
setTestResultDataPointsSample(List<TestResultDataPoint> testResultDataPointsSample) |
public ProbabilisticClassificationModelSummary()
public String getAlgorithm()
public void setAlgorithm(String algorithm)
public double getAuc()
public void setAuc(double auc)
auc
- Sets area under curve (AUC)public List<TestResultDataPoint> getTestResultDataPointsSample()
public void setTestResultDataPointsSample(List<TestResultDataPoint> testResultDataPointsSample)
testResultDataPointsSample
- Sets features with predicted vs. actual valuespublic String getRoc()
public void setRoc(String roc)
roc
- Sets receiver operating characteristic (ROC) curvepublic String getModelSummaryType()
getModelSummaryType
in interface org.wso2.carbon.ml.commons.domain.ModelSummary
public List<FeatureImportance> getFeatureImportance()
public void setFeatureImportance(List<FeatureImportance> featureImportance)
featureImportance
- Weights of each of the featurepublic void setFeatures(String[] features)
features
- Array of names of the featurespublic double getModelAccuracy()
public MulticlassConfusionMatrix getMulticlassConfusionMatrix()
public void setMulticlassConfusionMatrix(MulticlassConfusionMatrix multiclassConfusionMatrix)
multiclassConfusionMatrix
- multiclass confusion matrixpublic void setModelAccuracy(double modelAccuracy)
modelAccuracy
- Sets model accuracypublic String getDatasetVersion()
public void setDatasetVersion(String datasetVersion)
datasetVersion
- Sets dataset versionpublic String[] getFeatures()
getFeatures
in interface org.wso2.carbon.ml.commons.domain.ModelSummary
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