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Apache Ignite® is a Distributed Database For High-Performance Computing With In-Memory Speed.
/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.ignite.ml.math;
import java.io.Externalizable;
import java.util.Spliterator;
import java.util.function.IntToDoubleFunction;
import org.apache.ignite.lang.IgniteUuid;
import org.apache.ignite.ml.math.exceptions.CardinalityException;
import org.apache.ignite.ml.math.exceptions.IndexException;
import org.apache.ignite.ml.math.exceptions.UnsupportedOperationException;
import org.apache.ignite.ml.math.functions.IgniteBiFunction;
import org.apache.ignite.ml.math.functions.IgniteDoubleFunction;
import org.apache.ignite.ml.math.functions.IgniteIntDoubleToDoubleBiFunction;
/**
* A vector interface.
*
* Based on its flavor it can have vastly different implementations tailored for
* for different types of data (e.g. dense vs. sparse), different sizes of data or different operation
* optimizations.
*
* Note also that not all operations can be supported by all underlying implementations. If an operation is not
* supported a {@link UnsupportedOperationException} is thrown. This exception can also be thrown in partial cases
* where an operation is unsupported only in special cases, e.g. where a given operation cannot be deterministically
* completed in polynomial time.
*
* Based on ideas from Apache Mahout.
*/
public interface Vector extends MetaAttributes, Externalizable, StorageOpsMetrics, Destroyable {
/**
* Holder for vector's element.
*/
interface Element {
/**
* Gets element's value.
*
* @return The value of this vector element.
*/
double get();
/**
* Gets element's index in the vector.
*
* @return The index of this vector element.
*/
int index();
/**
* Sets element's value.
*
* @param val Value to set.
*/
void set(double val);
}
/**
* Gets cardinality of this vector (maximum number of the elements).
*
* @return This vector's cardinality.
*/
public int size();
/**
* Creates new copy of this vector.
*
* @return New copy vector.
*/
public Vector copy();
/**
* Gets iterator over all elements in this vector.
*
* NOTE: implementation can choose to reuse {@link Element} instance so you need to copy it
* if you want to retain it outside of iteration.
*
* @return Iterator.
*/
public Iterable all();
/**
* Iterates ove all non-zero elements in this vector.
*
* NOTE: implementation can choose to reuse {@link Element} instance so you need to copy it
* if you want to retain it outside of iteration.
*
* @return Iterator.
*/
public Iterable nonZeroes();
/**
* Gets spliterator for all values in this vector.
*
* @return Spliterator for all values.
*/
public Spliterator allSpliterator();
/**
* Gets spliterator for all non-zero values in this vector.
*
* @return Spliterator for all non-zero values.
*/
public Spliterator nonZeroSpliterator();
/**
* Sorts this vector in ascending order.
*/
public Vector sort();
/**
* Gets element at the given index.
*
* NOTE: implementation can choose to reuse {@link Element} instance so you need to copy it
* if you want to retain it outside of iteration.
*
* @param idx Element's index.
* @return Vector's element at the given index.
* @throws IndexException Throw if index is out of bounds.
*/
public Element getElement(int idx);
/**
* Assigns given value to all elements of this vector.
*
* @param val Value to assign.
* @return This vector.
*/
public Vector assign(double val);
/**
* Assigns values from given array to this vector.
*
* @param vals Values to assign.
* @return This vector.
* @throws CardinalityException Thrown if cardinalities mismatch.
*/
public Vector assign(double[] vals);
/**
* Copies values from the argument vector to this one.
*
* @param vec Argument vector.
* @return This vector.
* @throws CardinalityException Thrown if cardinalities mismatch.
*/
public Vector assign(Vector vec);
/**
* Assigns each vector element to the value generated by given function.
*
* @param fun Function that takes the index and returns value.
* @return This vector.
*/
public Vector assign(IntToDoubleFunction fun);
/**
* Maps all values in this vector through a given function.
*
* @param fun Mapping function.
* @return This vector.
*/
public Vector map(IgniteDoubleFunction fun);
/**
* Maps all values in this vector through a given function.
*
* For this vector A, argument vector B and the
* function F this method maps every element x as:
* A(x) = F(A(x), B(x))
*
* @param vec Argument vector.
* @param fun Mapping function.
* @return This function.
* @throws CardinalityException Thrown if cardinalities mismatch.
*/
public Vector map(Vector vec, IgniteBiFunction fun);
/**
* Maps all elements of this vector by applying given function to each element with a constant
* second parameter y.
*
* @param fun Mapping function.
* @param y Second parameter for mapping function.
* @return This vector.
*/
public Vector map(IgniteBiFunction fun, double y);
/**
* Creates new vector containing values from this vector divided by the argument.
*
* @param x Division argument.
* @return New vector.
*/
public Vector divide(double x);
/**
* Gets dot product of two vectors.
*
* @param vec Argument vector.
* @return Dot product of two vectors.
*/
public double dot(Vector vec);
/**
* Gets the value at specified index.
*
* @param idx Vector index.
* @return Vector value.
* @throws IndexException Throw if index is out of bounds.
*/
public double get(int idx);
/**
* Gets the value at specified index without checking for index boundaries.
*
* @param idx Vector index.
* @return Vector value.
*/
public double getX(int idx);
/**
* Creates new empty vector of the same underlying class but of different cardinality.
*
* @param crd Cardinality for new vector.
* @return New vector.
*/
public Vector like(int crd);
/**
* Creates new matrix of compatible flavor with given size.
*
* @param rows Number of rows.
* @param cols Number of columns.
* @return New matrix.
*/
public Matrix likeMatrix(int rows, int cols);
/**
* Converts this vector into [N x 1] or [1 x N] matrix where N is this vector cardinality.
*
* @param rowLike {@code true} for rowLike [N x 1], or {@code false} for column [1 x N] matrix.
* @return Newly created matrix.
*/
public Matrix toMatrix(boolean rowLike);
/**
* Converts this vector into [N+1 x 1] or [1 x N+1] matrix where N is this vector cardinality.
* (0,0) element of this matrix will be {@code zeroVal} parameter.
*
* @param rowLike {@code true} for rowLike [N+1 x 1], or {@code false} for column [1 x N+1] matrix.
* @return Newly created matrix.
*/
public Matrix toMatrixPlusOne(boolean rowLike, double zeroVal);
/**
* Creates new vector containing element by element difference between this vector and the argument one.
*
* @param vec Argument vector.
* @return New vector.
* @throws CardinalityException Thrown if cardinalities mismatch.
*/
public Vector minus(Vector vec);
/**
* Creates new vector containing the normalized (L_2 norm) values of this vector.
*
* @return New vector.
*/
public Vector normalize();
/**
* Creates new vector containing the normalized (L_power norm) values of this vector.
* See http://en.wikipedia.org/wiki/Lp_space for details.
*
* @param power The power to use. Must be >= 0. May also be {@link Double#POSITIVE_INFINITY}.
* @return New vector {@code x} such that {@code norm(x, power) == 1}
*/
public Vector normalize(double power);
/**
* Creates new vector containing the {@code log(1 + entry) / L_2 norm} values of this vector.
*
* @return New vector.
*/
public Vector logNormalize();
/**
* Creates new vector with a normalized value calculated as {@code log_power(1 + entry) / L_power norm}.
*
* @param power The power to use. Must be > 1. Cannot be {@link Double#POSITIVE_INFINITY}.
* @return New vector
*/
public Vector logNormalize(double power);
/**
* Gets the k-norm of the vector. See http://en.wikipedia.org/wiki/Lp_space for more details.
*
* @param power The power to use.
* @see #normalize(double)
*/
public double kNorm(double power);
/**
* Gets minimal value in this vector.
*
* @return Minimal value.
*/
public double minValue();
/**
* Gets maximum value in this vector.
*
* @return Maximum c.
*/
public double maxValue();
/**
* Gets minimal element in this vector.
*
* @return Minimal element.
*/
public Element minElement();
/**
* Gets maximum element in this vector.
*
* @return Maximum element.
*/
public Element maxElement();
/**
* Creates new vector containing sum of each element in this vector and argument.
*
* @param x Argument value.
* @return New vector.
*/
public Vector plus(double x);
/**
* Creates new vector containing element by element sum from both vectors.
*
* @param vec Other argument vector to add.
* @return New vector.
* @throws CardinalityException Thrown if cardinalities mismatch.
*/
public Vector plus(Vector vec);
/**
* Sets value.
*
* @param idx Vector index to set value at.
* @param val Value to set.
* @return This vector.
* @throws IndexException Throw if index is out of bounds.
*/
public Vector set(int idx, double val);
/**
* Sets value without checking for index boundaries.
*
* @param idx Vector index to set value at.
* @param val Value to set.
* @return This vector.
*/
public Vector setX(int idx, double val);
/**
* Increments value at given index without checking for index boundaries.
*
* @param idx Vector index.
* @param val Increment value.
* @return This vector.
*/
public Vector incrementX(int idx, double val);
/**
* Increments value at given index.
*
* @param idx Vector index.
* @param val Increment value.
* @return This vector.
* @throws IndexException Throw if index is out of bounds.
*/
public Vector increment(int idx, double val);
/**
* Gets number of non-zero elements in this vector.
*
* @return Number of non-zero elements in this vector.
*/
public int nonZeroElements();
/**
* Gets a new vector that contains product of each element and the argument.
*
* @param x Multiply argument.
* @return New vector.
*/
public Vector times(double x);
/**
* Gets a new vector that is an element-wie product of this vector and the argument.
*
* @param vec Vector to multiply by.
* @return New vector.
* @throws CardinalityException Thrown if cardinalities mismatch.
*/
public Vector times(Vector vec);
/**
* @param off Offset into parent vector.
* @param len Length of the view.
*/
public Vector viewPart(int off, int len);
/**
* Gets vector storage model.
*/
public VectorStorage getStorage();
/**
* Gets the sum of all elements in this vector.
*
* @return Vector's sum
*/
public double sum();
/**
* Gets the cross product of this vector and the other vector.
*
* @param vec Second vector.
* @return New matrix as a cross product of two vectors.
*/
public Matrix cross(Vector vec);
/**
* Folds this vector into a single value.
*
* @param foldFun Folding function that takes two parameters: accumulator and the current value.
* @param mapFun Mapping function that is called on each vector element before its passed to the accumulator (as its
* second parameter).
* @param Type of the folded value.
* @param zeroVal Zero value for fold operation.
* @return Folded value of this vector.
*/
public T foldMap(IgniteBiFunction foldFun, IgniteDoubleFunction mapFun, T zeroVal);
/**
* Combines & maps two vector and folds them into a single value.
*
* @param vec Another vector to combine with.
* @param foldFun Folding function.
* @param combFun Combine function.
* @param Type of the folded value.
* @param zeroVal Zero value for fold operation.
* @return Folded value of these vectors.
* @throws CardinalityException Thrown when cardinalities mismatch.
*/
public T foldMap(Vector vec, IgniteBiFunction foldFun,
IgniteBiFunction combFun,
T zeroVal);
/**
* Gets the sum of squares of all elements in this vector.
*
* @return Length squared value.
*/
public double getLengthSquared();
/**
* Get the square of the distance between this vector and the argument vector.
*
* @param vec Another vector.
* @return Distance squared.
* @throws CardinalityException Thrown if cardinalities mismatch.
*/
public double getDistanceSquared(Vector vec);
/**
* Auto-generated globally unique vector ID.
*
* @return Vector GUID.
*/
public IgniteUuid guid();
/**
* Replace vector entry with value oldVal at i with result of computing f(i, oldVal).
*
* @param i Position.
* @param f Function used for replacing.
**/
public void compute(int i, IgniteIntDoubleToDoubleBiFunction f);
}
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