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Installation Guide
An installation of HCL Unica products is complete when you install, configure, and deploy the HCL Unica products . The Installation Guide provides detailed information about installing, configuring, and deploying the products.
Deploying AI-ML
After the installation of Unica Platform is complete, if you selected the component AI-ML for installation, you must deploy the AI-ML component post installation. The deployment steps differ for Microsoft Windows and Unix-based operating systems. There are some common procedures that you must implement for both operating systems.
Deploying AI-ML in Unix-based Operating Systems
To deploy AI-ML component in RHEL and SuSE, complete the following procedures:

Installation Guides
- Installation Guide
  An installation of HCL Unica products is complete when you install, configure, and deploy the HCL Unica products . The Installation Guide provides detailed information about installing, configuring, and deploying the products.
  - Installation overview
    An installation of HCL Unica products is complete when you install, configure, and deploy the HCL Unica products . The Installation Guide provides detailed information about installing, configuring, and deploying the products.
  - Planning the Unica Platform installation
    When you plan your Unica Platform installation, you must ensure that you have set up your system correctly, and that you have configured your environment to deal with any failures.
  - Creating the Unica Platform data sources
    You must create Unica Platform data sources before you can install Unica Platform.
  - Installing Platform
    You must run the Unica installer to start the installation of Unica Platform. The Unica installer starts the Unica Platform installer during the installation process. Make sure that the Unica installer and the product installer are saved at the same location.
  - Deploying Platform
    You must follow a set of guidelines when you deploy Unica Platform in your web application server. There is a different set of guidelines for deploying Unica Platform on WebLogic and on WebSphere®.
  - Deploying Unica Contact Central
  - Deploying AI-ML
    After the installation of Unica Platform is complete, if you selected the component AI-ML for installation, you must deploy the AI-ML component post installation. The deployment steps differ for Microsoft Windows and Unix-based operating systems. There are some common procedures that you must implement for both operating systems.
    - Deploying AI-ML in Microsoft Windows
      To deploy AI-ML component in Microsoft Windows, complete the following procedures:
    - Deploying AI-ML in Unix-based Operating Systems
      To deploy AI-ML component in RHEL and SuSE, complete the following procedures:
  - Configuring Platform after deployment
    For a basic installation of Unica Platform, you must configure Unica Platform after deployment if you use the Unica reporting feature, or if you want to use a password policy.
  - Installing Unica Platform in a cluster
  - Deploying Asset Picker
  - Unica Platform utilities
    This section provides an overview of the Unica Platform utilities, including some details that apply to all the utilities and which are not included in the individual utility descriptions.
  - About Platform SQL scripts
    This section describes the SQL scripts provided with Unica Platform to perform various tasks relating to the Unica Platform system tables.
  - Uninstalling Unica Platform
    Run the Unica Platform uninstaller to uninstall Unica Platform. When you run the uninstaller, the files that were created during the installation process are removed. For example, files such as configuration files, installer registry information, and user data are removed from the computer.

Deploying AI-ML in Unix-based Operating Systems

To deploy AI-ML component in RHEL and SuSE, complete the following procedures:

Configuring Python files

Before you begin

Even if you have Python-3.10.10 installed on your system, you must install Python-3.11.7.

Procedure

Access the Python-3.11.7 folder within the Platform/ML directory.
Change the directory to Python-3.11.7 and run the following command:
- RHEL: yum update -y && yum install -y xz gcc zlib-devel openssl-devel bzip2-devel libffi-devel sqlite-devel pip
- SuSE: zypper update -y && yum install -y xz gcc zlib-devel openssl-devel bzip2-devel libffi-devel sqlite-devel pip
Run the following commands in the same order:
- ./configure LDFLAGS='-L/usr/lib64'
- make clean
- make install
Note: Skip this step if you are not using Oracle as your user database.
This step is relevant only when working with the data stored in Oracle database. To facilitate access to the Oracle database, it is necessary to install the appropriate Oracle client libraries for Python (cx_Oracle). For step-by-step instructions on the installation process, see the following official page:
https://cx-oracle.readthedocs.io/en/latest/user_guide/installation.html
In the file Platform/ML/startup.sh, at line number 1, replace the placeholder [REPLACE_WITH_THE_ABSOLUTE_PYTHON_PATH] with the absolute path to Python 3.11.7 version. For example Platform/ML/Python-3.11.7.
In the Platform/ML/lib directory, access the site-packages folder.
In the Platform/ML/startup.sh file, replace the placeholder [REPLACE_WITH_THE_SITEPACKAGES_PATH] with the absolute path to site-packages directory.

Configuring the conf.ini document

About this task

This is smilar to the configuration done on Microsoft Windows. See Configuring the conf.ini document.

Configuring encoding.ini file

About this task

This is smilar to the configuration done on Microsoft Windows. See Configuring encoding.ini file.

Starting the ML services

Procedure

Change the directory to Platform/ML directory.
To launch the ML service, run startup.sh.

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