weka.core

## Class DenseInstance

- java.lang.Object
- - weka.core.AbstractInstance
  - - weka.core.DenseInstance

- All Implemented Interfaces:
    java.io.Serializable, Copyable, Instance, RevisionHandler

      public class DenseInstance
      extends AbstractInstance

  Class for handling an instance. All values (numeric, date, nominal, string or relational) are internally stored as floating-point numbers. If an attribute is nominal (or a string or relational), the stored value is the index of the corresponding nominal (or string or relational) value in the attribute's definition. We have chosen this approach in favor of a more elegant object-oriented approach because it is much faster.

  Typical usage (code from the main() method of this class):

  `...
  // Create empty instance with three attribute values
  Instance inst = new DenseInstance(3);
  // Set instance's values for the attributes "length", "weight", and "position"
  inst.setValue(length, 5.3);
  inst.setValue(weight, 300);
  inst.setValue(position, "first");
  // Set instance's dataset to be the dataset "race"
  inst.setDataset(race);
  // Print the instance
  System.out.println("The instance: " + inst);
  ...
  `

  All methods that change an instance's attribute values are safe, ie. a change of an instance's attribute values does not affect any other instances. All methods that change an instance's attribute values clone the attribute value vector before it is changed. If your application heavily modifies instance values, it may be faster to create a new instance from scratch.

  Version:
    $Revision: 12472 $
  Author:
    Eibe Frank (eibe@cs.waikato.ac.nz)
  See Also:
    Serialized Form

- - ### Field Summary

    - ### Fields inherited from class weka.core.AbstractInstance

      `s_numericAfterDecimalPoint`

  - ### Constructor Summary

    Constructors
    Constructor and Description
    `DenseInstance(double weight, double[] attValues)` Constructor that inititalizes instance variable with given values.
    `DenseInstance(Instance instance)` Constructor that copies the attribute values and the weight from the given instance.
    `DenseInstance(int numAttributes)` Constructor of an instance that sets weight to one, all values to be missing, and the reference to the dataset to null.

  - ### Method Summary

    All Methods Static Methods Instance Methods Concrete Methods
    Modifier and Type | Method and Description
    --- | ---
    `java.lang.Object` | `copy()` Produces a shallow copy of this instance.
    `Instance` | `copy(double[] values)` Copies the instance but fills up its values based on the given array of doubles.
    `java.lang.String` | `getRevision()` Returns the revision string.
    `int` | `index(int position)` Returns the index of the attribute stored at the given position.
    `static void` | `main(java.lang.String[] options)` Main method for testing this class.
    `Instance` | `mergeInstance(Instance inst)` Merges this instance with the given instance and returns the result.
    `int` | `numAttributes()` Returns the number of attributes.
    `int` | `numValues()` Returns the number of values present.
    `void` | `replaceMissingValues(double[] array)` Replaces all missing values in the instance with the values contained in the given array.
    `void` | `setValue(int attIndex, double value)` Sets a specific value in the instance to the given value (internal floating-point format).
    `void` | `setValueSparse(int indexOfIndex, double value)` Sets a specific value in the instance to the given value (internal floating-point format).
    `double[]` | `toDoubleArray()` Returns the values of each attribute as an array of doubles.
    `java.lang.String` | `toStringNoWeight()` Returns the description of one instance (without weight appended).
    `java.lang.String` | `toStringNoWeight(int afterDecimalPoint)` Returns the description of one instance (without weight appended).
    `double` | `value(int attIndex)` Returns an instance's attribute value in internal format.

    - ### Methods inherited from class weka.core.AbstractInstance

      `attribute, attributeSparse, classAttribute, classIndex, classIsMissing, classValue, dataset, deleteAttributeAt, enumerateAttributes, equalHeaders, equalHeadersMsg, hasMissingValue, insertAttributeAt, isMissing, isMissing, isMissingSparse, numClasses, relationalValue, relationalValue, setClassMissing, setClassValue, setClassValue, setDataset, setMissing, setMissing, setValue, setValue, setValue, setWeight, stringValue, stringValue, toString, toString, toString, toString, toString, toStringMaxDecimalDigits, value, valueSparse, weight`

    - ### Methods inherited from class java.lang.Object

      `equals, getClass, hashCode, notify, notifyAll, wait, wait, wait`

- - ### Constructor Detail

    - #### DenseInstance

          public DenseInstance(Instance instance)

      Constructor that copies the attribute values and the weight from the given instance. It does NOT perform a deep copy of the attribute values if the instance provided is also of type DenseInstance (it simply copies the reference to the array of values), otherwise it does. Reference to the dataset is set to null. (ie. the instance doesn't have access to information about the attribute types)
      Parameters:
        `instance` - the instance from which the attribute values and the weight are to be copied

    - #### DenseInstance

          public DenseInstance(double weight,
                               double[] attValues)

      Constructor that inititalizes instance variable with given values. Reference to the dataset is set to null. (ie. the instance doesn't have access to information about the attribute types)
      Parameters:
        `weight` - the instance's weight
        `attValues` - a vector of attribute values

    - #### DenseInstance

          public DenseInstance(int numAttributes)

      Constructor of an instance that sets weight to one, all values to be missing, and the reference to the dataset to null. (ie. the instance doesn't have access to information about the attribute types)
      Parameters:
        `numAttributes` - the size of the instance

  - ### Method Detail

    - #### copy

          public java.lang.Object copy()

      Produces a shallow copy of this instance. The copy has access to the same dataset. (if you want to make a copy that doesn't have access to the dataset, use `new DenseInstance(instance)`
      Returns:
        the shallow copy

    - #### copy

          public Instance copy(double[] values)

      Copies the instance but fills up its values based on the given array of doubles. The copy has access to the same dataset.
      Parameters:
        `values` - the array with new values
      Returns:
        the new instance

    - #### index

          public int index(int position)

      Returns the index of the attribute stored at the given position. Just returns the given value.
      Parameters:
        `position` - the position
      Returns:
        the index of the attribute stored at the given position

    - #### mergeInstance

          public Instance mergeInstance(Instance inst)

      Merges this instance with the given instance and returns the result. Dataset is set to null. The returned instance is of the same type as this instance.
      Parameters:
        `inst` - the instance to be merged with this one
      Returns:
        the merged instances

    - #### numAttributes

          public int numAttributes()

      Returns the number of attributes.
      Returns:
        the number of attributes as an integer

    - #### numValues

          public int numValues()

      Returns the number of values present. Always the same as numAttributes().
      Returns:
        the number of values

    - #### replaceMissingValues

          public void replaceMissingValues(double[] array)

      Replaces all missing values in the instance with the values contained in the given array. A deep copy of the vector of attribute values is performed before the values are replaced.
      Parameters:
        `array` - containing the means and modes
      Throws:
        `java.lang.IllegalArgumentException` - if numbers of attributes are unequal

    - #### setValue

          public void setValue(int attIndex,
                               double value)

      Sets a specific value in the instance to the given value (internal floating-point format). Performs a deep copy of the vector of attribute values before the value is set.
      Parameters:
        `attIndex` - the attribute's index
        `value` - the new attribute value (If the corresponding attribute is nominal (or a string) then this is the new value's index as a double).

    - #### setValueSparse

          public void setValueSparse(int indexOfIndex,
                                     double value)

      Sets a specific value in the instance to the given value (internal floating-point format). Performs a deep copy of the vector of attribute values before the value is set. Does exactly the same thing as setValue().
      Parameters:
        `indexOfIndex` - the index of the attribute's index
        `value` - the new attribute value (If the corresponding attribute is nominal (or a string) then this is the new value's index as a double).

    - #### toDoubleArray

          public double[] toDoubleArray()

      Returns the values of each attribute as an array of doubles.
      Returns:
        an array containing all the instance attribute values

    - #### toStringNoWeight

          public java.lang.String toStringNoWeight()

      Returns the description of one instance (without weight appended). If the instance doesn't have access to a dataset, it returns the internal floating-point values. Quotes string values that contain whitespace characters. This method is used by getRandomNumberGenerator() in Instances.java in order to maintain backwards compatibility with weka 3.4.
      Returns:
        the instance's description as a string

    - #### toStringNoWeight

          public java.lang.String toStringNoWeight(int afterDecimalPoint)

      Returns the description of one instance (without weight appended). If the instance doesn't have access to a dataset, it returns the internal floating-point values. Quotes string values that contain whitespace characters. This method is used by getRandomNumberGenerator() in Instances.java in order to maintain backwards compatibility with weka 3.4.
      Parameters:
        `afterDecimalPoint` - maximum number of digits after the decimal point for numeric values
      Returns:
        the instance's description as a string

    - #### value

          public double value(int attIndex)

      Returns an instance's attribute value in internal format.
      Parameters:
        `attIndex` - the attribute's index
      Returns:
        the specified value as a double (If the corresponding attribute is nominal (or a string) then it returns the value's index as a double).

    - #### main

          public static void main(java.lang.String[] options)

      Main method for testing this class.
      Parameters:
        `options` - the commandline options - ignored

    - #### getRevision

          public java.lang.String getRevision()

      Returns the revision string.
      Specified by:
        `getRevision` in interface `RevisionHandler`
      Overrides:
        `getRevision` in class `AbstractInstance`
      Returns:
        the revision