Java Code Examples for weka.core.Capabilities#handles()
The following examples show how to use
weka.core.Capabilities#handles() .
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Example 1
Source File: GaussianProcesses.java From tsml with GNU General Public License v3.0 | 6 votes |
/** * Returns default capabilities of the classifier. * * @return the capabilities of this classifier */ public Capabilities getCapabilities() { Capabilities result = getKernel().getCapabilities(); result.setOwner(this); // attribute result.enableAllAttributeDependencies(); // with NominalToBinary we can also handle nominal attributes, but only // if the kernel can handle numeric attributes if (result.handles(Capability.NUMERIC_ATTRIBUTES)) result.enable(Capability.NOMINAL_ATTRIBUTES); result.enable(Capability.MISSING_VALUES); // class result.disableAllClasses(); result.disableAllClassDependencies(); result.enable(Capability.NUMERIC_CLASS); result.enable(Capability.DATE_CLASS); result.enable(Capability.MISSING_CLASS_VALUES); return result; }
Example 2
Source File: SMOreg.java From tsml with GNU General Public License v3.0 | 6 votes |
/** * Returns default capabilities of the classifier. * * @return the capabilities of this classifier */ public Capabilities getCapabilities() { Capabilities result = getKernel().getCapabilities(); result.setOwner(this); // attribute result.enableAllAttributeDependencies(); // with NominalToBinary we can also handle nominal attributes, but only // if the kernel can handle numeric attributes if (result.handles(Capability.NUMERIC_ATTRIBUTES)) result.enable(Capability.NOMINAL_ATTRIBUTES); result.enable(Capability.MISSING_VALUES); // class result.disableAllClasses(); result.disableAllClassDependencies(); result.enable(Capability.NUMERIC_CLASS); result.enable(Capability.DATE_CLASS); result.enable(Capability.MISSING_CLASS_VALUES); return result; }
Example 3
Source File: SMO.java From tsml with GNU General Public License v3.0 | 6 votes |
/** * Returns default capabilities of the classifier. * * @return the capabilities of this classifier */ public Capabilities getCapabilities() { Capabilities result = getKernel().getCapabilities(); result.setOwner(this); // attribute result.enableAllAttributeDependencies(); // with NominalToBinary we can also handle nominal attributes, but only // if the kernel can handle numeric attributes if (result.handles(Capability.NUMERIC_ATTRIBUTES)) result.enable(Capability.NOMINAL_ATTRIBUTES); result.enable(Capability.MISSING_VALUES); // class result.disableAllClasses(); result.disableAllClassDependencies(); result.enable(Capability.NOMINAL_CLASS); result.enable(Capability.MISSING_CLASS_VALUES); return result; }
Example 4
Source File: YATSI.java From collective-classification-weka-package with GNU General Public License v3.0 | 6 votes |
/** * Returns default capabilities of the classifier. * * @return the capabilities of this classifier */ @Override public Capabilities getCapabilities() { Capabilities result = super.getCapabilities(); // class result.disableAllClasses(); result.disableAllClassDependencies(); Capabilities cls = getClassifier().getCapabilities(); if (cls.handles(Capability.NOMINAL_CLASS)) result.enable(Capability.NOMINAL_CLASS); else if (cls.handles(Capability.BINARY_CLASS)) result.enable(Capability.BINARY_CLASS); else if (cls.handles(Capability.UNARY_CLASS)) result.enable(Capability.UNARY_CLASS); result.disable(Capability.MISSING_CLASS_VALUES); return result; }
Example 5
Source File: RacedIncrementalLogitBoost.java From tsml with GNU General Public License v3.0 | 5 votes |
/** * Set the base learner. * * @param newClassifier the classifier to use. * @throws IllegalArgumentException if base classifier cannot handle numeric * class */ public void setClassifier(Classifier newClassifier) { Capabilities cap = newClassifier.getCapabilities(); if (!cap.handles(Capability.NUMERIC_CLASS)) throw new IllegalArgumentException("Base classifier cannot handle numeric class!"); super.setClassifier(newClassifier); }
Example 6
Source File: MISMO.java From tsml with GNU General Public License v3.0 | 5 votes |
/** * Returns the capabilities of this multi-instance classifier for the * relational data. * * @return the capabilities of this object * @see Capabilities */ public Capabilities getMultiInstanceCapabilities() { Capabilities result = ((MultiInstanceCapabilitiesHandler) getKernel()).getMultiInstanceCapabilities(); result.setOwner(this); // attribute result.enableAllAttributeDependencies(); // with NominalToBinary we can also handle nominal attributes, but only // if the kernel can handle numeric attributes if (result.handles(Capability.NUMERIC_ATTRIBUTES)) result.enable(Capability.NOMINAL_ATTRIBUTES); result.enable(Capability.MISSING_VALUES); return result; }