Browse Source

[DOCS] Comments out link that points to outlier detection example (#75687)

István Zoltán Szabó 4 years ago
parent
commit
7e7a386078
1 changed files with 11 additions and 9 deletions
  1. 11 9
      docs/reference/ml/df-analytics/apis/get-dfanalytics-stats.asciidoc

+ 11 - 9
docs/reference/ml/df-analytics/apis/get-dfanalytics-stats.asciidoc

@@ -528,11 +528,12 @@ values: `failed`, `started`, `starting`,`stopping`, `stopped`.
 == {api-examples-title}
 
 The following API retrieves usage information for the
-{ml-docs}/ml-dfa-finding-outliers.html#ecommerce-outliers[{oldetection} {dfanalytics-job} example]:
+// {ml-docs}/ml-dfa-finding-outliers.html#weblogs-outliers[{oldetection} {dfanalytics-job} example]:
+{ml-docs}/ml-dfa-finding-outliers.html[{oldetection} {dfanalytics-job} example]:
 
 [source,console]
 --------------------------------------------------
-GET _ml/data_frame/analytics/ecommerce/_stats
+GET _ml/data_frame/analytics/weblog-outliers/_stats
 --------------------------------------------------
 // TEST[skip:Kibana sample data]
 
@@ -542,7 +543,7 @@ GET _ml/data_frame/analytics/ecommerce/_stats
   "count" : 1,
   "data_frame_analytics" : [
     {
-      "id" : "ecommerce",
+      "id" : "weblog-outliers",
       "state" : "stopped",
       "progress" : [
         {
@@ -554,7 +555,7 @@ GET _ml/data_frame/analytics/ecommerce/_stats
           "progress_percent" : 100
         },
         {
-          "phase" : "analyzing",
+          "phase" : "computing_outliers",
           "progress_percent" : 100
         },
         {
@@ -563,17 +564,18 @@ GET _ml/data_frame/analytics/ecommerce/_stats
         }
       ],
       "data_counts" : {
-        "training_docs_count" : 3321,
+        "training_docs_count" : 1001,
         "test_docs_count" : 0,
         "skipped_docs_count" : 0
       },
       "memory_usage" : {
-        "timestamp" : 1586905058000,
-        "peak_usage_bytes" : 279484
+        "timestamp" : 1626264770206,
+        "peak_usage_bytes" : 328011,
+        "status" : "ok"
       },
       "analysis_stats" : {
         "outlier_detection_stats" : {
-          "timestamp" : 1586905058000,
+          "timestamp" : 1626264770206,
           "parameters" : {
             "n_neighbors" : 0,
             "method" : "ensemble",
@@ -583,7 +585,7 @@ GET _ml/data_frame/analytics/ecommerce/_stats
             "standardization_enabled" : true
           },
           "timing_stats" : {
-            "elapsed_time" : 245
+            "elapsed_time" : 32
           }
         }
       }