Merge pull request #100981 from dagiro/retired3

retired3

Author: megvanhuygen

.openpublishing.redirection.json

@@ -28232,8 +28232,13 @@
     },
     {
       "source_path": "articles/hdinsight/hdinsight-deep-learning-caffe-spark.md",
-      "redirect_url": "/azure/hdinsight/spark/apache-spark-deep-learning-caffe",
-      "redirect_document_id": true
+      "redirect_url": "/azure/hdinsight/spark/apache-spark-machine-learning-mllib-ipython",
+      "redirect_document_id": false
+    },
+    {
+      "source_path": "articles/hdinsight/spark/apache-spark-deep-learning-caffe.md",
+      "redirect_url": "/azure/hdinsight/spark/apache-spark-machine-learning-mllib-ipython",
+      "redirect_document_id": false
     },
     {
       "source_path": "articles/hdinsight/hdinsight-develop-deploy-java-mapreduce-linux.md",

articles/hdinsight/TOC.yml

@@ -328,8 +328,6 @@
           href: ./spark/apache-spark-machine-learning-mllib-ipython.md
         - name: Analyze website logs
           href: ./spark/apache-spark-custom-library-website-log-analysis.md
-        - name: Use Caffe for deep learning
-          href: ./spark/apache-spark-deep-learning-caffe.md
         - name: Use with Microsoft Cognitive Toolkit
           href: ./spark/apache-spark-microsoft-cognitive-toolkit.md
         - name: Create an Apache Spark machine learning pipeline

articles/hdinsight/hdinsight-machine-learning-overview.md

@@ -58,5 +58,4 @@ To help advance its own work in deep learning, Microsoft  developed the free, ea
 ### Deep learning resources
 
 * [Use Microsoft Cognitive Toolkit deep learning model with Azure HDInsight Spark cluster](spark/apache-spark-microsoft-cognitive-toolkit.md)
-* [Use Caffe on Azure HDInsight Spark for distributed deep learning](spark/apache-spark-deep-learning-caffe.md)
 * [Deep Learning and AI frameworks on the Data Science Virtual Machine (DSVM)](../machine-learning/data-science-virtual-machine/dsvm-tools-deep-learning-frameworks.md)

articles/hdinsight/spark/apache-spark-deep-learning-caffe.md

@@ -111,7 +111,7 @@ Once a job is completed, the information about the job is persisted in the Spark
 * [Apache Spark with Machine Learning: Use Spark in HDInsight to predict food inspection results](apache-spark-machine-learning-mllib-ipython.md)
 * [Website log analysis using Apache Spark in HDInsight](apache-spark-custom-library-website-log-analysis.md)
 * [Application Insight telemetry data analysis using Apache Spark in HDInsight](apache-spark-analyze-application-insight-logs.md)
-* [Use Caffe on Azure HDInsight Spark for distributed deep learning](apache-spark-deep-learning-caffe.md)
+
 
 ### For Spark developers
 

articles/hdinsight/spark/apache-spark-job-debugging.md

@@ -145,7 +145,6 @@ Launch the Yarn UI as shown in the beginning of the article. In Cluster Metrics
 * [Apache Spark with Machine Learning: Use Spark in HDInsight to predict food inspection results](apache-spark-machine-learning-mllib-ipython.md)
 * [Website log analysis using Apache Spark in HDInsight](apache-spark-custom-library-website-log-analysis.md)
 * [Application Insight telemetry data analysis using Apache Spark in HDInsight](apache-spark-analyze-application-insight-logs.md)
-* [Use Caffe on Azure HDInsight Spark for distributed deep learning](apache-spark-deep-learning-caffe.md)
 
 ### For Apache Spark developers