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Posted to commits@ignite.apache.org by ch...@apache.org on 2018/02/07 09:48:14 UTC
ignite git commit: IGNITE-7643: broken javadoc.
Repository: ignite
Updated Branches:
refs/heads/master b50aa5eb0 -> 7b37f6481
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/master
Commit: 7b37f6481112e09da231a13c926d67002437c36f
Parents: b50aa5e
Author: YuriBabak <y....@gmail.com>
Authored: Wed Feb 7 12:48:06 2018 +0300
Committer: Yury Babak <yb...@gridgain.com>
Committed: Wed Feb 7 12:48:06 2018 +0300
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.../ml/dataset/AlgorithmSpecificDatasetExample.java | 12 +++++++-----
1 file changed, 7 insertions(+), 5 deletions(-)
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http://git-wip-us.apache.org/repos/asf/ignite/blob/7b37f648/examples/src/main/java/org/apache/ignite/examples/ml/dataset/AlgorithmSpecificDatasetExample.java
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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. */