diff --git a/docs/ml/images/ml-calendar-management.jpg b/docs/ml/images/ml-calendar-management.jpg index 060877c1c161..a1f22afc6c77 100644 Binary files a/docs/ml/images/ml-calendar-management.jpg and b/docs/ml/images/ml-calendar-management.jpg differ diff --git a/docs/ml/images/ml-data-visualizer-sample.jpg b/docs/ml/images/ml-data-visualizer-sample.jpg new file mode 100644 index 000000000000..d3dfe8623c32 Binary files /dev/null and b/docs/ml/images/ml-data-visualizer-sample.jpg differ diff --git a/docs/ml/images/ml-job-management.jpg b/docs/ml/images/ml-job-management.jpg index c459a1ac78d5..9334665921a9 100644 Binary files a/docs/ml/images/ml-job-management.jpg and b/docs/ml/images/ml-job-management.jpg differ diff --git a/docs/ml/images/ml-settings.jpg b/docs/ml/images/ml-settings.jpg new file mode 100644 index 000000000000..3c8d6153998e Binary files /dev/null and b/docs/ml/images/ml-settings.jpg differ diff --git a/docs/ml/images/ml-single-metric-viewer.jpg b/docs/ml/images/ml-single-metric-viewer.jpg index 7500e5a656af..b943e6c78ddf 100644 Binary files a/docs/ml/images/ml-single-metric-viewer.jpg and b/docs/ml/images/ml-single-metric-viewer.jpg differ diff --git a/docs/ml/index.asciidoc b/docs/ml/index.asciidoc index bafdfcaa2bd4..3832020436fa 100644 --- a/docs/ml/index.asciidoc +++ b/docs/ml/index.asciidoc @@ -7,42 +7,54 @@ As datasets increase in size and complexity, the human effort required to inspect dashboards or maintain rules for spotting infrastructure problems, -cyber attacks, or business issues becomes impractical. The {xpackml} features +cyber attacks, or business issues becomes impractical. The Elastic {ml-features} automatically model the normal behavior of your time series data — learning trends, periodicity, and more — in real time to identify anomalies, streamline root cause analysis, and reduce false positives. -{xpackml} runs in and scales with {es}, and includes an +The {ml-features} run in and scale with {es}, and include an intuitive UI on the {kib} *Machine Learning* page for creating anomaly detection jobs and understanding results. -You can use the *Job Management* pane to create and manage jobs and their -associated {dfeeds}: +If you have a basic license, you can use the *Data Visualizer* to learn more +about the data that you've stored in {es} and to identify possible fields for +{ml} analysis: + +[role="screenshot"] +image::ml/images/ml-data-visualizer-sample.jpg[Data Visualizer for sample flight data] + +experimental[] You can also upload a CSV, NDJSON, or log file (up to 100 MB in size). +The {ml-features} identify the file format and field mappings. You can then +optionally import that data into an {es} index. + +If you have a trial or platinum license, you can <> +and manage jobs and {dfeeds} from the *Job Management* pane: [role="screenshot"] image::ml/images/ml-job-management.jpg[Job Management] -You can use the *Settings* pane to add scheduled events to calendars and to -associate these calendars with your jobs: +You can use the *Settings* pane to create and edit +{stack-ov}/ml-calendars.html[calendars] and the filters that are used in +{stack-ov}/ml-rules.html[custom rules]: [role="screenshot"] -image::ml/images/ml-calendar-management.jpg[Calendar Management] +image::ml/images/ml-settings.jpg[Calendar Management] The *Anomaly Explorer* and *Single Metric Viewer* display the results of your -{ml} jobs. For example: +{ml} jobs. For example: [role="screenshot"] image::ml/images/ml-single-metric-viewer.jpg[Single Metric Viewer] -NOTE: The {xpack} {ml} features in {kib} use pop-ups. You must configure your +NOTE: The {kib} {ml-features} use pop-ups. You must configure your web browser so that it does not block pop-up windows or create an exception for -your Kibana URL. +your {kib} URL. For more information about {ml}, see -{xpack-ref}/xpack-ml.html[Machine Learning in the Elastic Stack]. +{stack-ov}/xpack-ml.html[Machine learning in the {stack}]. -- include::creating-jobs.asciidoc[] include::job-tips.asciidoc[] -//TO-DO: Add info about creating watch +