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In order to train a model we need to use another recognizer as the base and a dataset that contains people's names.  We'll use the Entity recognizer that we set as disabled and the Android Reddit dataset.

a. Enable the Entity recognizer for the {human} tag

b. In the Name recognizer:

    - set the Name recognizer to disabled

    - set the 'Model' field to --NONE–

    - add 'human' value to the field 'Normalized Tags'

    - click on the 'Train' button.

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c. Once the Train dialog opens, select the AndroidReddit dataset and set the machine learning options according to your needs. In this case we are leaving everything with default values.

has a good sample of the values we want to identify.  In this case we'll use the CFR-2018 dataset which contains regulations from the government. 

a.  Create a new tag called {emissions-equipment}, attach the Entity recognizer and add the following patterns:

    - vehicle

    - locomotive

    - truck

    -marine engine

    -tanker truck

    -engine

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b. Attach the Name recognizer to your tag and then click on the train button. Select the 'CFR-2018-title40' dataset and then click on execute button:

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d. Check out the Background Processes tab to see the progress of the training

e. Once the process completes:

    - go to your tag and disable the Entity recognizer for the {human} tag again

    - enable the Name recognizer    - in the Name recognizer, select your recently created model (result from the training). It should be something like "humanemissions-equipment-[date stamp here]", for example: humanemissions-equipment-20190206172621. 

      You can also use the option --LATEST-- so it will always       use always use the most recent model you have created.

    - use the preview functionality to test your newly created model. Enter the same text as before in the preview text box: "Several employees work from home, Joseph is one of them, Paul too"Set the 'Minimum Probability' field to 0.5

    - Run a TestRun against the CFR dataset.

    - Once the test run finishes, use the search interface to check if any text was tagged with the emissions-equipment tag. If you do see text tagged this means the model you trained is working.

Image Added    - check if names are tagged as well