From 3169e4c70e9e26579da7643e8fec36cbed312e2a Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Istv=C3=A1n=20Zolt=C3=A1n=20Szab=C3=B3?= Date: Tue, 23 Jun 2020 09:03:31 +0200 Subject: [PATCH] [DOCS] Updates screenshots in ML population analysis (#58318) --- .../ml/anomaly-detection/populations.asciidoc | 12 ++++++------ .../ml/images/ml-population-anomaly.jpg | Bin 165614 -> 0 bytes .../ml/images/ml-population-anomaly.png | Bin 0 -> 235135 bytes docs/reference/ml/images/ml-population-job.jpg | Bin 331718 -> 0 bytes docs/reference/ml/images/ml-population-job.png | Bin 0 -> 379985 bytes .../ml/images/ml-population-results.jpg | Bin 283347 -> 0 bytes .../ml/images/ml-population-results.png | Bin 0 -> 285592 bytes 7 files changed, 6 insertions(+), 6 deletions(-) delete mode 100644 docs/reference/ml/images/ml-population-anomaly.jpg create mode 100644 docs/reference/ml/images/ml-population-anomaly.png delete mode 100644 docs/reference/ml/images/ml-population-job.jpg create mode 100644 docs/reference/ml/images/ml-population-job.png delete mode 100644 docs/reference/ml/images/ml-population-results.jpg create mode 100644 docs/reference/ml/images/ml-population-results.png diff --git a/docs/reference/ml/anomaly-detection/populations.asciidoc b/docs/reference/ml/anomaly-detection/populations.asciidoc index decbe6a3b35..7df0d2ffbc2 100644 --- a/docs/reference/ml/anomaly-detection/populations.asciidoc +++ b/docs/reference/ml/anomaly-detection/populations.asciidoc @@ -62,26 +62,26 @@ the sample web logs in {kib}, you can use the following job settings in the population job wizard: [role="screenshot"] -image::images/ml-population-job.jpg["Job settings in the population job wizard] +image::images/ml-population-job.png["Job settings in the population job wizard] After you open the job and start the {dfeed} or supply data to the job, you can view the results in {kib}. For example, you can view the results in the **Anomaly Explorer**: [role="screenshot"] -image::images/ml-population-results.jpg["Population analysis results in the Anomaly Explorer"] +image::images/ml-population-results.png["Population analysis results in the Anomaly Explorer"] As in this case, the results are often quite sparse. There might be just a few data points for the selected time period. Population analysis is particularly useful when you have many entities and the data for specific entitles is sporadic or sparse. -If you click on a section in the timeline or swimlanes, you can see more +If you click on a section in the timeline or swim lanes, you can see more details about the anomalies: [role="screenshot"] -image::images/ml-population-anomaly.jpg["Anomaly details for a specific user"] +image::images/ml-population-anomaly.png["Anomaly details for a specific user"] -In this example, the client IP address `29.64.62.83` received a high volume of +In this example, the client IP address `30.156.16.164` received a low volume of bytes on the date and time shown. 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