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"predict"  10 => "predict" : 10
KangYongKyun 10 年之前
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共有 1 个文件被更改,包括 2 次插入2 次删除
  1. 2 2
      docs/reference/aggregations/pipeline/movavg-aggregation.asciidoc

+ 2 - 2
docs/reference/aggregations/pipeline/movavg-aggregation.asciidoc

@@ -363,7 +363,7 @@ as your buckets:
             "buckets_path": "the_sum",
             "buckets_path": "the_sum",
             "window" : 30,
             "window" : 30,
             "model" : "simple",
             "model" : "simple",
-            "predict" 10
+            "predict" : 10
         }
         }
 }
 }
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@@ -445,4 +445,4 @@ minimization is linear to the size of the window being processed: excessively la
 Finally, minimization fits the model to the last `n` values, where `n = window`.  This generally produces
 Finally, minimization fits the model to the last `n` values, where `n = window`.  This generally produces
 better forecasts into the future, since the parameters are tuned around the end of the series.  It can, however, generate
 better forecasts into the future, since the parameters are tuned around the end of the series.  It can, however, generate
 poorer fitting moving averages at the beginning of the series.
 poorer fitting moving averages at the beginning of the series.
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+======