anchor.diff:  whether or not it's _tokenized_, or broken up into separate words.
   
   The sample data includes an `upload_server-metrics.sh` script, which you can use
  -to create the mappings and load the data set. Before you run it, however, you
  -must edit the USERNAME and PASSWORD variables with your actual user ID and
  -password.
  +to create the mappings and load the data set. You can download it by clicking
  +here: https://download.elastic.co/demos/machine_learning/gettingstarted/upload_server-metrics.sh[upload_server-metrics.sh]
  +Before you run it, however, you must edit the USERNAME and PASSWORD variables
  +with your actual user ID and password.
   
   The script runs a command similar to the following example, which sets up a
   mapping for the data set:
  
positive.code: 
  The sample data for this tutorial contains information about the requests that
  are received by various applications and services in a system. A system
  administrator might use this type of information to track the the total
  number of requests across all of the infrastructure. If the number of requests
  increases or decreases unexpectedly, for example, this might be an indication
  that there is a problem or that resources need to be redistributed. By using
  the {xpack} {ml} features to model the behavior of this data, it is easier to
  identify anomalies and take appropriate action.
  
  Download this sample data from: https://github.com/elastic/examples
  //Download this data set by clicking here:
  //See  https://download.elastic.co/demos/kibana/gettingstarted/shakespeare.json[shakespeare.json].
  
  Use the following commands to extract the files:
  
  [source,shell]
  ----------------------------------
  tar xvf server_metrics.tar.gz
  ----------------------------------
  
  Each document in the server-metrics data set has the following schema:
  
negative.code: job is running.
  
  TIP: The `create_single_metic.sh` script creates a similar job and data feed by
  using the {ml} APIs. You can download that script by clicking
  here: https://download.elastic.co/demos/machine_learning/gettingstarted/create_single_metric.sh[create_single_metric.sh]
  For API reference information, see <<ml-apis>>.
  
  [[ml-gs-job1-manage]]
  === Managing Jobs
  