Package | Description |
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weka.estimators |
Modifier and Type | Method and Description |
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protected CheckEstimator.AttrTypes |
CheckEstimator.testsPerClassType(int classType,
CheckEstimator.EstTypes estTypes)
Run a battery of tests for a given class attribute type
|
Modifier and Type | Method and Description |
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protected boolean[] |
CheckEstimator.canEstimate(CheckEstimator.AttrTypes attrTypes,
boolean supervised,
int classType)
Checks basic estimation of one attribute of the scheme, for simple non-troublesome
datasets.
|
protected boolean[] |
CheckEstimator.canHandleClassAsNthAttribute(CheckEstimator.AttrTypes attrTypes,
int numAtts,
int attrIndex,
int classType,
int classIndex)
Checks whether the scheme can handle class attributes as Nth attribute.
|
protected boolean[] |
CheckEstimator.canHandleMissing(CheckEstimator.AttrTypes attrTypes,
int classType,
boolean attributeMissing,
boolean classMissing,
int missingLevel)
Checks basic missing value handling of the scheme.
|
protected boolean[] |
CheckEstimator.canHandleNClasses(CheckEstimator.AttrTypes attrTypes,
int numClasses)
Checks whether nominal schemes can handle more than two classes.
|
protected boolean[] |
CheckEstimator.canHandleZeroTraining(CheckEstimator.AttrTypes attrTypes,
int classType)
Checks whether the scheme can handle zero training instances.
|
protected void |
CheckEstimator.canSplitUpClass(CheckEstimator.AttrTypes attrTypes,
int classType)
Checks basic estimation of one attribute of the scheme, for simple non-troublesome
datasets.
|
protected boolean[] |
CheckEstimator.correctBuildInitialisation(CheckEstimator.AttrTypes attrTypes,
int classType)
Checks whether the scheme correctly initialises models when
buildEstimator is called.
|
protected boolean[] |
CheckEstimator.datasetIntegrity(CheckEstimator.AttrTypes attrTypes,
int classType,
boolean attributeMissing,
boolean classMissing)
Checks whether the scheme alters the training dataset during
training.
|
protected boolean[] |
CheckEstimator.incrementingEquality(CheckEstimator.AttrTypes attrTypes,
int classType)
Checks whether an incremental scheme produces the same model when
trained incrementally as when batch trained.
|
protected boolean[] |
CheckEstimator.instanceWeights(CheckEstimator.AttrTypes attrTypes,
int classType)
Checks whether the estimator can handle instance weights.
|
protected Instances |
CheckEstimator.makeTestDataset(int seed,
int numInstances,
int numAttr,
CheckEstimator.AttrTypes attrTypes,
int numClasses,
int classType)
Make a simple set of instances, which can later be modified
for use in specific tests.
|
protected Instances |
CheckEstimator.makeTestDataset(int seed,
int numInstances,
int numAttr,
CheckEstimator.AttrTypes attrTypes,
int numClasses,
int classType,
int classIndex)
Make a simple set of instances with variable position of the class
attribute, which can later be modified for use in specific tests.
|
protected void |
CheckEstimator.printAttributeSummary(CheckEstimator.AttrTypes attrTypes,
int classType)
Print out a short summary string for the dataset characteristics
|
protected boolean[] |
CheckEstimator.runBasicTest(CheckEstimator.AttrTypes attrTypes,
int numAtts,
int attrIndex,
int classType,
int missingLevel,
boolean attributeMissing,
boolean classMissing,
int numTrain,
int numTest,
int numClasses,
FastVector accepts)
Runs a text on the datasets with the given characteristics.
|
protected boolean[] |
CheckEstimator.runBasicTest(CheckEstimator.AttrTypes attrTypes,
int numAtts,
int attrIndex,
int classType,
int classIndex,
int missingLevel,
boolean attributeMissing,
boolean classMissing,
int numTrain,
int numTest,
int numClasses,
FastVector accepts)
Runs a text on the datasets with the given characteristics.
|
Copyright © 2015 University of Waikato, Hamilton, NZ. All rights reserved.