Analytics (with PAI 5.0.0.1) > Installation and Configuration > PAI: Installing, Configuring, and Upgrading > PAI Machine Learning > Installing PAI Machine Learning
Installing PAI Machine Learning
These are the key files you will be using during the configuration steps:
Zip File
Directory
Extracted Files
svg-analytics-ml.zip
$SERVIGISTICS_HOME/PAI/dist/svg-analytics-ml/reports/spm
CorrelatedPartsIntelligence.cab
ForecastAccuracyIntelligence.cab
ForecastOverrideIntelligence.cab
MachineLearningForecasting.cab
MeanTimeBetweenFailure.cab
MultivariateMachineLearningForecast.cab
NewPartIntroductionForecasting.cab
ReagionMeanTimeBetweenFailure.cab
RemainingUsefulLife.cab
Use these instructions to install PAI Machine Learning. A script, on-prem.bat, is included in the PAI-Intelligence distribution file. This script uses the following three input parameters to install Python and the PAI Machine Learning reports and scripts:
Parameter
Description
Value
Directory
This is the path where the Servigistics is installed.
%SERVIGISTICS_HOME%
Database Type
This should be the same as your Servigistics database type. The options are:
• mssql
• oracle
Use double quotation marks:
• “mssql”
• “oracle”
Virtual Environment Name
This is the label for identifying the release version of PAI.
Use double quotation marks. For example:
“pai5x”
Installing PAI Machine Learning on a Windows Server
1. Sign in to the AutoPilot server as the administrative user.
2. Copy the Python executable file to the %SERVIGISTICS_HOME%\PAI\dist
3. Open a command tool as the administrator.
4. Navigate to the %SERVIGISTICS_HOME%\Servigistics\bin directory and run the following command to set the environment variables:
env.bat
5. Run the following command to navigate to the directory where the scripts reside:
cd %SERVIGISTICS_HOME%\PAI\dist
6. Run the following command to install Python and the PAI Machine Learning reports and scripts:
For Oracle:
on-prem.bat %SERVIGISTICS_HOME% "oracle" "pai_5x"
For MSSQL:
on-prem.bat %SERVIGISTICS_HOME% "mssql" "pai_5x"
When the script finishes processing, the PAI Machine Learning folder is created in %SERVIGISTICS_HOME%, and the Python Scripts and Machine Learning Jar file are included. All customer deployment related properties are added to the AutoPilotServer.properties and WebUI.properties files.
7. Proceed to the next step, Configuring Intellicus for Machine Learning
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