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Java Transforms.euclideanDistance方法代码示例

本文整理汇总了Java中org.nd4j.linalg.ops.transforms.Transforms.euclideanDistance方法的典型用法代码示例。如果您正苦于以下问题:Java Transforms.euclideanDistance方法的具体用法?Java Transforms.euclideanDistance怎么用?Java Transforms.euclideanDistance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org.nd4j.linalg.ops.transforms.Transforms的用法示例。


在下文中一共展示了Transforms.euclideanDistance方法的4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: map

import org.nd4j.linalg.ops.transforms.Transforms; //导入方法依赖的package包/类
@Override
public List<Writable> map(List<Writable> writables) {
    int idxFirst = inputSchema.getIndexOfColumn(firstCol);
    int idxSecond = inputSchema.getIndexOfColumn(secondCol);

    INDArray arr1 = ((NDArrayWritable) writables.get(idxFirst)).get();
    INDArray arr2 = ((NDArrayWritable) writables.get(idxSecond)).get();

    double d;
    switch (distance) {
        case COSINE:
            d = Transforms.cosineSim(arr1, arr2);
            break;
        case EUCLIDEAN:
            d = Transforms.euclideanDistance(arr1, arr2);
            break;
        case MANHATTAN:
            d = Transforms.manhattanDistance(arr1, arr2);
            break;
        default:
            throw new UnsupportedOperationException("Unknown or not supported distance metric: " + distance);
    }

    List<Writable> out = new ArrayList<>(writables.size() + 1);
    out.addAll(writables);
    out.add(new DoubleWritable(d));

    return out;
}
 
开发者ID:deeplearning4j,项目名称:DataVec,代码行数:30,代码来源:NDArrayDistanceTransform.java

示例2: testAllDistances1

import org.nd4j.linalg.ops.transforms.Transforms; //导入方法依赖的package包/类
@Test
public void testAllDistances1() throws Exception {
    INDArray initialX = Nd4j.create(5, 10);
    INDArray initialY = Nd4j.create(7, 10);
    for (int i = 0; i < initialX.rows(); i++) {
        initialX.getRow(i).assign(i + 1);
    }

    for (int i = 0; i < initialY.rows(); i++) {
        initialY.getRow(i).assign(i + 101);
    }

    INDArray result = Transforms.allEuclideanDistances(initialX, initialY, 1);

    Nd4j.getExecutioner().commit();

    assertEquals(5 * 7, result.length());

    for (int x = 0; x < initialX.rows(); x++) {

        INDArray rowX = initialX.getRow(x).dup();

        for (int y = 0; y < initialY.rows(); y++) {

            double res = result.getDouble(x, y);
            double exp = Transforms.euclideanDistance(rowX, initialY.getRow(y).dup());

            assertEquals("Failed for [" + x + ", " + y + "]", exp, res, 0.001);
        }
    }
}
 
开发者ID:deeplearning4j,项目名称:nd4j,代码行数:32,代码来源:Nd4jTestsC.java

示例3: testAllDistances3_Large

import org.nd4j.linalg.ops.transforms.Transforms; //导入方法依赖的package包/类
@Test
public void testAllDistances3_Large() throws Exception {
    INDArray initialX = Nd4j.create(5, 2000);
    INDArray initialY = Nd4j.create(7, 2000);
    for (int i = 0; i < initialX.rows(); i++) {
        initialX.getRow(i).assign(i + 1);
    }

    for (int i = 0; i < initialY.rows(); i++) {
        initialY.getRow(i).assign(i + 101);
    }

    INDArray result = Transforms.allEuclideanDistances(initialX, initialY, 1);

    assertEquals(5 * 7, result.length());

    for (int x = 0; x < initialX.rows(); x++) {

        INDArray rowX = initialX.getRow(x).dup();

        for (int y = 0; y < initialY.rows(); y++) {

            double res = result.getDouble(x, y);
            double exp = Transforms.euclideanDistance(rowX, initialY.getRow(y).dup());

            assertEquals("Failed for [" + x + ", " + y + "]", exp, res, 0.001);
        }
    }
}
 
开发者ID:deeplearning4j,项目名称:nd4j,代码行数:30,代码来源:Nd4jTestsC.java

示例4: testAllDistances3_Large_Columns

import org.nd4j.linalg.ops.transforms.Transforms; //导入方法依赖的package包/类
@Test
public void testAllDistances3_Large_Columns() throws Exception {
    INDArray initialX = Nd4j.create(2000, 5);
    INDArray initialY = Nd4j.create(2000, 7);
    for (int i = 0; i < initialX.columns(); i++) {
        initialX.getColumn(i).assign(i + 1);
    }

    for (int i = 0; i < initialY.columns(); i++) {
        initialY.getColumn(i).assign(i + 101);
    }

    INDArray result = Transforms.allEuclideanDistances(initialX, initialY, 0);

    assertEquals(5 * 7, result.length());

    for (int x = 0; x < initialX.columns(); x++) {

        INDArray colX = initialX.getColumn(x).dup();

        for (int y = 0; y < initialY.columns(); y++) {

            double res = result.getDouble(x, y);
            double exp = Transforms.euclideanDistance(colX, initialY.getColumn(y).dup());

            assertEquals("Failed for [" + x + ", " + y + "]", exp, res, 0.001);
        }
    }
}
 
开发者ID:deeplearning4j,项目名称:nd4j,代码行数:30,代码来源:Nd4jTestsC.java


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