weka-kt

wekakt / com.github.stevenlang.wekakt.extensions / weka.core.Instances

Extensions for weka.core.Instances

Name	Summary
attributes	`val` `Instances.attributes:` `List<Attribute>` List of attributes.
classIndex	`var` `Instances.classIndex:` `Int` Class index.
filter	`fun <T :` `Filter>` `Instances.filter(filter:` `T, body:` `T.() ->` `Unit` `= {}):` `Instances` Apply a given filter to this set of instances.
get	`operator fun` `Instances.get(rowIndex:` `Int):` `Instance` Get the instance at index rowIndex. `operator fun` `Instances.get(rowIndex:` `Int, attributeIndex:` `Int):` `Double` Get the value at position (rowIndex,attributeIndex). `operator fun` `Instances.get(rowIndex:` `Int, attribute:` `Attribute):` `Double` Get the value at position (rowIndex,attribute). `operator fun` `Instances.get(rangeRows:` `IntRange, rangeAttributes:` `IntRange):` `Instances` Slice the given range of attributes out of the dataset.
isEqualTo	`fun` `Instances.isEqualTo(other:` `Any?):` `Boolean` Check if this instances is equal to another instances object.
numAttributes	`val` `Instances.numAttributes:` `Int` Number of attributes.
removeAttribute	`fun` `Instances.removeAttribute(attIndex:` `Int):` `Instances` Remove a given attribute by index.
removeClassAttribute	`fun` `Instances.removeClassAttribute():` `Instances` Remove the class attribute of this dataset.
set	`operator fun` `Instances.set(rowIndex:` `Int, instance:` `Instance):` `Instance` Set the instance at position rowIndex. `operator fun` `Instances.set(rowIndex:` `Int, attributeIndex:` `Int, value:` `Number):` `Unit` Set the value at position (rowIndex,attributeIndex). `operator fun` `Instances.set(rowIndex:` `Int, attribute:` `Attribute, value:` `Number):` `Unit` Set the value at position (rowIndex,attribute). `operator fun` `Instances.set(rowIndex:` `Int, attributeIndex:` `Int, value:` `String):` `Unit` Set string value at position (rowIndex,attributeIndex). `operator fun` `Instances.set(rowIndex:` `Int, attribute:` `Attribute, value:` `String):` `Unit` Set string value at position (rowIndex,attribute).
slice	`fun` `Instances.slice(rangeRows:` `IntRange, rangeAttributes:` `IntRange):` `Instances` Slice the given range of attributes out of the dataset.
sliceAttributes	`fun` `Instances.sliceAttributes(range:` `IntRange):` `Instances` Slice the given range of attributes out of the dataset. `fun` `Instances.sliceAttributes(vararg indices:` `Int):` `Instances` Get the subset of attributes with the given indices.
sliceRows	`fun` `Instances.sliceRows(range:` `IntRange):` `Instances` Slice the given range of rows out of the dataset. `fun` `Instances.sliceRows(vararg indices:` `Int):` `Instances` Get the subset of rows with the given indices.
split	`fun` `Instances.split(testPercentage:` `Double):` `Pair<Instances,` `Instances>` Split this dataset into two separate sets with a given testPercentage.

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