package org.nd4j.examples; import org.nd4j.linalg.api.ndarray.INDArray; import org.nd4j.linalg.api.ops.impl.accum.MatchCondition; import org.nd4j.linalg.factory.Nd4j; import org.nd4j.linalg.indexing.BooleanIndexing; import org.nd4j.linalg.indexing.conditions.Conditions; /** * --- Nd4j Example 6: Boolean Indexing --- * * In this example, we'll see ways to use boolean indexing to perform some simple conditional element-wise operations * * @author Alex Black */ public class Nd4jEx6_BooleanIndexing { public static void main(String[] args){ int nRows = 3; int nCols = 5; long rngSeed = 12345; //Generate random numbers between -1 and +1 INDArray random = Nd4j.rand(nRows, nCols, rngSeed).muli(2).subi(1); System.out.println("Array values:"); System.out.println(random); //For example, we can conditionally replace values less than 0.0 with 0.0: INDArray randomCopy = random.dup(); BooleanIndexing.replaceWhere(randomCopy, 0.0, Conditions.lessThan(0.0)); System.out.println("After conditionally replacing negative values:\n" + randomCopy); //Or conditionally replace NaN values: INDArray hasNaNs = Nd4j.create(new double[]{1.0,1.0,Double.NaN,1.0}); BooleanIndexing.replaceWhere(hasNaNs,0.0, Conditions.isNan()); System.out.println("hasNaNs after replacing NaNs with 0.0:\n" + hasNaNs); //Or we can conditionally copy values from one array to another: randomCopy = random.dup(); INDArray tens = Nd4j.valueArrayOf(nRows, nCols, 10.0); BooleanIndexing.replaceWhere(randomCopy, tens, Conditions.lessThan(0.0)); System.out.println("Conditionally copying values from array 'tens', if original value is less than 0.0\n" + randomCopy); //One simple task is to count the number of values that match the condition MatchCondition op = new MatchCondition(random, Conditions.greaterThan(0.0)); int countGreaterThanZero = Nd4j.getExecutioner().exec(op,Integer.MAX_VALUE).getInt(0); //MAX_VALUE = "along all dimensions" or equivalently "for entire array" System.out.println("Number of values matching condition 'greater than 0': " + countGreaterThanZero); } }