Baked in ML

ML Component does not Start

• Verify that all the pre-requisites listed in the ‘Albie Basic/ML Prerequisite’ section of ‘AE-RPA-Engage Installation Guide’ are met.
• Check below log files for any errors:
  • <Container_Home>\data\Command\ML.log
  • <Container_Home>\data\ML\modelgenerator.log
  • <Container_Home>\data\ML\predictor.log
  • <Container_Home>\data\ML\queueforecast.log
  • Enable DEBUG log level in below configuration files to get debug level logs:
  • <Container_Home>\app\ML\modelgenerator\config.py
  • <Container_Home>\app\ML\predictor\api\config.py
  • <Container_Home>\app\ML\queueforecast\config.py
     

    NOTE:

    ML service restart is required for any configuration change to reflect.

ML Training Data csv File does not get Generated

• Verify configurations inside <Container_Home>\app\Admin\config\config.yml
  • Set mlPrediction property to “true” for –
    • ML training data collection for generation/re-training the ML model for a process.
    • Prediction of the execution time of every RPA transaction
       

      NOTE:

      Prediction will not happen for a transaction unless ML model for that process has been generated

      
      
      
      
       
  • Set the minimum number of successful transactions for a process considered for calculation of Average Execution Time.
    
    
     
  • Verify configurations inside <Container_Home>\app\Vanguard\Monitor\PeriodicXml\MonitorAlerts.xml
    • Turn AutoscaleModelRetrain job Mode “on”. This is to start collecting training data for ML model generation/retrain.
       

      NOTE:

      ML training data will not be collected for retraining/creation of ML models unless this setting is turned “on”.

      
      
      
       
  • “RepeatInterval” property is set to 1440 minutes (1 day). Update this value in case required.
     

    NOTE:

    Do not touch any other property inside this section

    
    
     
• Verify configurations inside <Container_Home>\app\Vanguard\appsettings.json
  • This is the directory where ML Training data will get stored. In case of distributed or cluster/HA setup; update this property with a shared network drive location. Refer ‘Albie Basic/ML Prerequisite’ section of ‘AE-RPA-Engage Installation Guide’ for details to mount network drive
    
    
    
     
  • This is the minimum number of successful transactions for a process; after which ML training data will be generated for the creation of ML model for that process.
    
    
    
     
  • This is the maximum number of successful transactions for a process; which will be taken into consideration for ML training.
    
    
     
  • This is the ML training interval in days for a process. Once the model is trained; it will be re-trained after this interval occurs.
    
    
     
• Check below log files for any errors:
  • <Container_Home>\data\Command\<hostname>_Vanguard<YYYYMMDD>.log
• Update below configuration inside <Container_Home>\app\Vanguard\appsettings.json to get debug level logs:
  • Set the default value to “Verbose”
    
     
• Verify configurations inside <Container_Home>\runtime\ logstash\logstash-7.10.2\config\ae\automationRequest.conf
  • Set property “[@metadata][mlPrediction]" to “true”
    
    
     
• Verify configurations inside <Container_Home>\runtime\ \logstash\logstash-7.10.2\Config\ae\transaction.conf
  • Set property “[@metadata][mlPrediction]" to “true”
    
    
     

ML Model does not get Generated

• Verify that training data csv has got generated under configured location. Refer ‘ML component does not start section’ for details.
• Verify below configuration inside <Container_Home>\app\ML\modelgenerator\config.py
  • Verify the below configured directory where generated ML model will get stored. In case of distributed or cluster/HA setup; update this property with a shared network drive location. Refer ‘Albie Basic/ML Prerequisite’ section of ‘AE-RPA-Engage Installation Guide’ for details to mount network drive.
    
    
    
     
  • Verify the below configuration to set the time interval in which the Model Generator checks for any new ML Model is to be generated.
    
    

• Check the modelgenerator logs for any errors. Refer ‘ML component does not start’ section for more details.

Email Reports for SLAViolation and RequestExpiry does not get Generated

• Verify that the ML model has got generated under configured location.
• Verify configurations inside <Container_Home>\app\ app\Vanguard\Monitor\PeriodicXml \MonitorAlerts.xml
  • Make sure the below jobs are turned “on”
    
    
     
• Make sure the SMTP server is configured correctly. Refer ‘Server Properties’ section of ‘AE-RPA-Engage Installation Guide’.