Installing the PingIntelligence machine learning service

Install the PingIntelligence machine learning (ML) service node.

Before you begin

Install Python 3.8.13 in the machine learning service node.
Install pip3 and ensure it points to Python 3.8.13.
Install Python as the root user and make sure Python3 is pointing to python 3.8.13 (for example, by creating a soft link: ln -s /usr/local/bin/python3.8 /usr/bin/python3).
Make sure management port 8090 is available.

To install the PingIntelligence machine learning service:

Go to the Ping Identity Product Downloads website.
Under PingIntelligence for APIs, click View Now.
Click Download under PingIntelligence for APIs.
Select a deployment method.
After downloading the file, copy the machine learning (ML) service file to the /opt directory or any other directory where you want to install the ML service.
Change the working directory:

Choose from:
- If you are installing as a root user, change the working directory to /opt.
- If you want to install as a non-root user, choose any other location.
At the command prompt, type the following command to untar the ML service build file:
```
tar –zxvf  <filename>
```
Example:
```
tar –zxvf pi-api-mlservice-5.2.tar.gz
```
To verify that the ML service successfully installed, type the ls command at the command prompt.

Example:
```
/opt/pingidentity/$ ls pingidentity
Ml_service
```
Result:

This command lists the pingidentity directory and ml_service directory.

Install the requirements:

pip3 install -r /opt/pingidentity/ml_service/lib/requirements.txt