use of org.apache.ignite.ml.math.impls.vector.DenseLocalOffHeapVector in project ignite by apache.
the class OffHeapVectorExample method main.
/**
* Executes example.
*
* @param args Command line arguments, none required.
*/
public static void main(String[] args) {
System.out.println();
System.out.println(">>> Off-heap vector API usage example started.");
System.out.println("\n>>> Creating perpendicular off-heap vectors.");
double[] data1 = new double[] { 1, 0, 3, 0, 5, 0 };
double[] data2 = new double[] { 0, 2, 0, 4, 0, 6 };
Vector v1 = new DenseLocalOffHeapVector(data1.length);
Vector v2 = new DenseLocalOffHeapVector(data2.length);
v1.assign(data1);
v2.assign(data2);
System.out.println(">>> First vector: " + Arrays.toString(data1));
System.out.println(">>> Second vector: " + Arrays.toString(data2));
double dotProduct = v1.dot(v2);
boolean dotProductIsAsExp = dotProduct == 0;
System.out.println("\n>>> Dot product of vectors: [" + dotProduct + "], it is 0 as expected: [" + dotProductIsAsExp + "].");
assert dotProductIsAsExp : "Expect dot product of perpendicular vectors to be 0.";
Vector hypotenuse = v1.plus(v2);
System.out.println("\n>>> Hypotenuse (sum of vectors): " + Arrays.toString(hypotenuse.getStorage().data()));
double lenSquared1 = v1.getLengthSquared();
double lenSquared2 = v2.getLengthSquared();
double lenSquaredHypotenuse = hypotenuse.getLengthSquared();
boolean lenSquaredHypotenuseIsAsExp = lenSquaredHypotenuse == lenSquared1 + lenSquared2;
System.out.println(">>> Squared length of first vector: [" + lenSquared1 + "].");
System.out.println(">>> Squared length of second vector: [" + lenSquared2 + "].");
System.out.println(">>> Squared length of hypotenuse: [" + lenSquaredHypotenuse + "], equals sum of squared lengths of two original vectors as expected: [" + lenSquaredHypotenuseIsAsExp + "].");
assert lenSquaredHypotenuseIsAsExp : "Expect squared length of hypotenuse to be as per Pythagorean theorem.";
System.out.println("\n>>> Off-heap vector API usage example completed.");
}
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