IGNITE-7643: broken javadoc. this closes #3480
Project: http://git-wip-us.apache.org/repos/asf/ignite/repo Commit: http://git-wip-us.apache.org/repos/asf/ignite/commit/7b37f648 Tree: http://git-wip-us.apache.org/repos/asf/ignite/tree/7b37f648 Diff: http://git-wip-us.apache.org/repos/asf/ignite/diff/7b37f648 Branch: refs/heads/ignite-7485-2 Commit: 7b37f6481112e09da231a13c926d67002437c36f Parents: b50aa5e Author: YuriBabak <y.ch...@gmail.com> Authored: Wed Feb 7 12:48:06 2018 +0300 Committer: Yury Babak <yba...@gridgain.com> Committed: Wed Feb 7 12:48:06 2018 +0300 ---------------------------------------------------------------------- .../ml/dataset/AlgorithmSpecificDatasetExample.java | 12 +++++++----- 1 file changed, 7 insertions(+), 5 deletions(-) ---------------------------------------------------------------------- http://git-wip-us.apache.org/repos/asf/ignite/blob/7b37f648/examples/src/main/java/org/apache/ignite/examples/ml/dataset/AlgorithmSpecificDatasetExample.java ---------------------------------------------------------------------- diff --git a/examples/src/main/java/org/apache/ignite/examples/ml/dataset/AlgorithmSpecificDatasetExample.java b/examples/src/main/java/org/apache/ignite/examples/ml/dataset/AlgorithmSpecificDatasetExample.java index 98f85cd..b693dfa 100644 --- a/examples/src/main/java/org/apache/ignite/examples/ml/dataset/AlgorithmSpecificDatasetExample.java +++ b/examples/src/main/java/org/apache/ignite/examples/ml/dataset/AlgorithmSpecificDatasetExample.java @@ -42,11 +42,13 @@ import org.apache.ignite.ml.dataset.primitive.data.SimpleLabeledDatasetData; * {@link DatasetWrapper}) in a sequential manner. * * In this example we need to implement gradient descent. This is iterative method that involves calculation of gradient - * on every step. In according with the common idea we defines {@link AlgorithmSpecificDataset} - extended version - * of {@code Dataset} with {@code gradient} method. As result our gradient descent method looks like a simple loop where - * every iteration includes call of the {@code gradient} method. In the example we want to keep iteration number as well - * for logging. Iteration number cannot be recovered from the {@code upstream} data and we need to keep it in the custom - * partition {@code context} which is represented by {@link AlgorithmSpecificPartitionContext} class. + * on every step. In according with the common idea we defines + * {@link AlgorithmSpecificDatasetExample.AlgorithmSpecificDataset} - extended version of {@code Dataset} with + * {@code gradient} method. As result our gradient descent method looks like a simple loop where every iteration + * includes call of the {@code gradient} method. In the example we want to keep iteration number as well for logging. + * Iteration number cannot be recovered from the {@code upstream} data and we need to keep it in the custom + * partition {@code context} which is represented by + * {@link AlgorithmSpecificDatasetExample.AlgorithmSpecificPartitionContext} class. */ public class AlgorithmSpecificDatasetExample { /** Run example. */
