From 0def4dfbf8c50189f28178ed813f58edde02754d Mon Sep 17 00:00:00 2001 From: Lisa Cawley Date: Mon, 4 Dec 2017 13:11:45 -0800 Subject: [PATCH] [DOCS] Add Data Visualizer to the ML Getting Started tutorial (elastic/x-pack-elasticsearch#3171) * [DOCS] Refreshed ML screenshots * [DOCS] Added screenshots for ML Data Visualizer * [DOCS] Addressed feedback about data visualizer * [DOCS] Fixed typo in ML tutorial Original commit: elastic/x-pack-elasticsearch@2603536a930f1653ae5ea6d9b38613286013424a --- docs/en/ml/getting-started-single.asciidoc | 20 +--- docs/en/ml/getting-started-wizards.asciidoc | 99 ++++++++++++++++++++ docs/en/ml/getting-started.asciidoc | 1 + docs/en/ml/images/ml-create-job.jpg | Bin 0 -> 191702 bytes docs/en/ml/images/ml-data-dates.jpg | Bin 0 -> 17402 bytes docs/en/ml/images/ml-data-keywords.jpg | Bin 0 -> 17540 bytes docs/en/ml/images/ml-data-metrics.jpg | Bin 0 -> 358164 bytes docs/en/ml/images/ml-data-topmetrics.jpg | Bin 0 -> 101513 bytes docs/en/ml/images/ml-data-visualizer.jpg | Bin 0 -> 76692 bytes docs/en/ml/images/ml-kibana.jpg | Bin 44160 -> 0 bytes 10 files changed, 102 insertions(+), 18 deletions(-) create mode 100644 docs/en/ml/getting-started-wizards.asciidoc create mode 100644 docs/en/ml/images/ml-create-job.jpg create mode 100644 docs/en/ml/images/ml-data-dates.jpg create mode 100644 docs/en/ml/images/ml-data-keywords.jpg create mode 100644 docs/en/ml/images/ml-data-metrics.jpg create mode 100644 docs/en/ml/images/ml-data-topmetrics.jpg create mode 100644 docs/en/ml/images/ml-data-visualizer.jpg delete mode 100644 docs/en/ml/images/ml-kibana.jpg diff --git a/docs/en/ml/getting-started-single.asciidoc b/docs/en/ml/getting-started-single.asciidoc index 088c0df0637..3befdbaf34d 100644 --- a/docs/en/ml/getting-started-single.asciidoc +++ b/docs/en/ml/getting-started-single.asciidoc @@ -1,24 +1,8 @@ [[ml-gs-jobs]] === Creating Single Metric Jobs -Machine learning jobs contain the configuration information and metadata -necessary to perform an analytical task. They also contain the results of the -analytical task. - -[NOTE] --- -This tutorial uses {kib} to create jobs and view results, but you can -alternatively use APIs to accomplish most tasks. -For API reference information, see {ref}/ml-apis.html[Machine Learning APIs]. - -The {xpackml} features in {kib} use pop-ups. You must configure your -web browser so that it does not block pop-up windows or create an -exception for your {kib} URL. --- - -You can choose to create single metric, multi-metric, population, or advanced -jobs in {kib}. At this point in the tutorial, the goal is to detect anomalies in -the total requests received by your applications and services. The sample data +At this point in the tutorial, the goal is to detect anomalies in the +total requests received by your applications and services. The sample data contains a single key performance indicator(KPI) to track this, which is the total requests over time. It is therefore logical to start by creating a single metric job for this KPI. diff --git a/docs/en/ml/getting-started-wizards.asciidoc b/docs/en/ml/getting-started-wizards.asciidoc new file mode 100644 index 00000000000..2eb6b5c2904 --- /dev/null +++ b/docs/en/ml/getting-started-wizards.asciidoc @@ -0,0 +1,99 @@ +[[ml-gs-wizards]] +=== Creating Jobs in {kib} +++++ +Creating Jobs +++++ + +Machine learning jobs contain the configuration information and metadata +necessary to perform an analytical task. They also contain the results of the +analytical task. + +[NOTE] +-- +This tutorial uses {kib} to create jobs and view results, but you can +alternatively use APIs to accomplish most tasks. +For API reference information, see {ref}/ml-apis.html[Machine Learning APIs]. + +The {xpackml} features in {kib} use pop-ups. You must configure your +web browser so that it does not block pop-up windows or create an +exception for your {kib} URL. +-- + +{kib} provides wizards that help you create typical {ml} jobs. For example, you +can use wizards to create single metric, multi-metric, population, and advanced +jobs. + +To see the job creation wizards: + +. Open {kib} in your web browser and log in. If you are running {kib} locally, +go to `http://localhost:5601/`. + +. Click **Machine Learning** in the side navigation. + +. Click **Create new job**. + +. Click the `server-metrics*` index pattern. + +You can then choose from a list of job wizards. For example: + +[role="screenshot"] +image::images/ml-create-job.jpg["Job creation wizards in {kib}"] + +If you are not certain which wizard to use, there is also a **Data Visualizer** +that can help you explore the fields in your data. + +To learn more about the sample data: + +. Click **Data Visualizer**. + ++ +-- +[role="screenshot"] +image::images/ml-data-visualizer.jpg["Data Visualizer in {kib}"] +-- + +. Select a time period that you're interested in exploring by using the time +picker in the {kib} toolbar. Alternatively, click +**Use full server-metrics* data** to view data over the full time range. In this +sample data, the documents relate to March and April 2017. + +. Optional: Change the number of documents per shard that are used in the +visualizations. There is a relatively small number of documents in the sample +data, so you can choose a value of `all`. For larger data sets, keep in mind +that using a large sample size increases query run times and increases the load +on the cluster. + +[role="screenshot"] +image::images/ml-data-metrics.jpg["Data Visualizer output for metrics in {kib}"] + +The fields in the indices are listed in two sections. The first section contains +the numeric ("metric") fields. The second section contains non-metric fields +(such as `keyword`, `text`, `date`, `boolean`, `ip`, and `geo_point` data types). + +For metric fields, the **Data Visualizer** indicates how many documents contain +the field in the selected time period. It also provides information about the +minimum, median, and maximum values, the number of distinct values, and their +distribution. You can use the distribution chart to get a better idea of how +the values in the data are clustered. Alternatively, you can view the top values +for metric fields. For example: + +[role="screenshot"] +image::images/ml-data-topmetrics.jpg["Data Visualizer output for top values in {kib}"] + +For date fields, the **Data Visualizer** provides the earliest and latest field +values and the number and percentage of documents that contain the field +during the selected time period. For example: + +[role="screenshot"] +image::images/ml-data-dates.jpg["Data Visualizer output for date fields in {kib}"] + +For keyword fields, the **Data Visualizer** provides the number of distinct +values, a list of the top values, and the number and percentage of documents +that contain the field during the selected time period. For example: + +[role="screenshot"] +image::images/ml-data-keywords.jpg["Data Visualizer output for date fields in {kib}"] + +In this tutorial, you will create single and multi-metric jobs that use the +`total`, `response`, `service`, and `host` fields. Though there is an option to +create an advanced job directly from the **Data Visualizer**, we will use the +single and multi-metric job creation wizards instead. diff --git a/docs/en/ml/getting-started.asciidoc b/docs/en/ml/getting-started.asciidoc index 390530752ce..15b91c32933 100644 --- a/docs/en/ml/getting-started.asciidoc +++ b/docs/en/ml/getting-started.asciidoc @@ -75,6 +75,7 @@ significant changes to the system. You can alternatively assign the For more information, see <> and <>. include::getting-started-data.asciidoc[] +include::getting-started-wizards.asciidoc[] include::getting-started-single.asciidoc[] include::getting-started-multi.asciidoc[] include::getting-started-next.asciidoc[] diff --git a/docs/en/ml/images/ml-create-job.jpg b/docs/en/ml/images/ml-create-job.jpg new file mode 100644 index 0000000000000000000000000000000000000000..506f3d8ea3c2e27aab5fa398fb34da66055a1e5f GIT binary patch literal 191702 zcmbrlcT`i$8!il@AYFP9L8bQ&0U{hlKtMtby$DE`4iY55QF=epJ0gS-AcWp~NH}!q zMFf&iq?({&l=kua-SyqO*8S`I?w!4}XIA#?+3T4-d**rG_uW^^SDO@f40QE%DJUr^ zD4tz!6jwNk=Qgeh{(>E};09#sF+t|9kbaVIc z^zsf434I*~34aq48yBCDn3SBEm7SBDmtRo$v7!=I1+PZbG&Q%hwzYS3b`7D2G1!rR zN5^L8<`)*1mRDABc*559&hFQ}ebUMIA3sljk$?aB53cL}{2#EckN*SN|Ayczc`u$@}ugL0UmYGa`pe&7P{okdl>qh?XTDZRY>dW=8G`d=)V4$MB9!yj$ z6j~IQN19USV4~{46-5HSG`W!^Ywb%lP)a>J)r|LbmQrRkty9`Az3ZyJ_XmvJDGz}j 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