本文整理汇总了Java中org.nd4j.linalg.ops.transforms.Transforms.not方法的典型用法代码示例。如果您正苦于以下问题：Java Transforms.not方法的具体用法？Java Transforms.not怎么用？Java Transforms.not使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类org.nd4j.linalg.ops.transforms.Transforms的用法示例。
在下文中一共展示了Transforms.not方法的3个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Java代码示例。
示例1: testNot1
import org.nd4j.linalg.ops.transforms.Transforms; //导入方法依赖的package包/类
@Test
public void testNot1() {
INDArray x = Nd4j.create(new double[] {0, 0, 1, 0, 0});
INDArray exp = Nd4j.create(new double[] {1, 1, 0, 1, 1});
INDArray z = Transforms.not(x);
assertEquals(exp, z);
}
示例2: adjustMasks
import org.nd4j.linalg.ops.transforms.Transforms; //导入方法依赖的package包/类
public INDArray adjustMasks(INDArray label, INDArray labelMask, int minorityLabel, double targetDist) {
if (labelMask == null) {
labelMask = Nd4j.ones(label.size(0), label.size(2));
}
validateData(label, labelMask);
INDArray bernoullis = Nd4j.zeros(labelMask.shape());
int currentTimeSliceEnd = label.size(2);
//iterate over each tbptt window
while (currentTimeSliceEnd > 0) {
int currentTimeSliceStart = Math.max(currentTimeSliceEnd - tbpttWindowSize, 0);
//get views for current time slice
INDArray currentWindowBernoulli = bernoullis.get(NDArrayIndex.all(),
NDArrayIndex.interval(currentTimeSliceStart, currentTimeSliceEnd));
INDArray currentMask = labelMask.get(NDArrayIndex.all(),
NDArrayIndex.interval(currentTimeSliceStart, currentTimeSliceEnd));
INDArray currentLabel;
if (label.size(1) == 2) {
//if one hot grab the right index
currentLabel = label.get(NDArrayIndex.all(), NDArrayIndex.point(minorityLabel),
NDArrayIndex.interval(currentTimeSliceStart, currentTimeSliceEnd));
} else {
currentLabel = label.get(NDArrayIndex.all(), NDArrayIndex.point(0),
NDArrayIndex.interval(currentTimeSliceStart, currentTimeSliceEnd));
if (minorityLabel == 0) {
currentLabel = Transforms.not(currentLabel);
}
}
//calculate required probabilities and write into the view
currentWindowBernoulli.assign(calculateBernoulli(currentLabel, currentMask, targetDist));
currentTimeSliceEnd = currentTimeSliceStart;
}
return Nd4j.getExecutioner().exec(
new BernoulliDistribution(Nd4j.createUninitialized(bernoullis.shape()), bernoullis),
Nd4j.getRandom());
}
示例3: computeScoreNumDenom
import org.nd4j.linalg.ops.transforms.Transforms; //导入方法依赖的package包/类
private double[] computeScoreNumDenom(INDArray labels, INDArray preOutput, IActivation activationFn, INDArray mask,
boolean average) {
INDArray output = activationFn.getActivation(preOutput.dup(), true);
int n = labels.size(1);
if (n != 1 && n != 2) {
throw new UnsupportedOperationException(
"For binary classification: expect output size of 1 or 2. Got: " + n);
}
//First: determine positives and negatives
INDArray isPositiveLabel;
INDArray isNegativeLabel;
INDArray pClass0;
INDArray pClass1;
if (n == 1) {
isPositiveLabel = labels;
isNegativeLabel = Transforms.not(isPositiveLabel);
pClass0 = output.rsub(1.0);
pClass1 = output;
} else {
isPositiveLabel = labels.getColumn(1);
isNegativeLabel = labels.getColumn(0);
pClass0 = output.getColumn(0);
pClass1 = output.getColumn(1);
}
if (mask != null) {
isPositiveLabel = isPositiveLabel.mulColumnVector(mask);
isNegativeLabel = isNegativeLabel.mulColumnVector(mask);
}
double tp = isPositiveLabel.mul(pClass1).sumNumber().doubleValue();
double fp = isNegativeLabel.mul(pClass1).sumNumber().doubleValue();
double fn = isPositiveLabel.mul(pClass0).sumNumber().doubleValue();
double numerator = (1.0 + beta * beta) * tp;
double denominator = (1.0 + beta * beta) * tp + beta * beta * fn + fp;
return new double[] {numerator, denominator};
}