H2O is an open-source platform designed for data analysis and machine learning. It excels in handling large datasets and offers high-performance capabilities, making it suitable for big data environments. H2O supports various machine learning algorithms, including generalized linear models, gradient boosting machines, and deep learning, enabling users to build and deploy predictive models efficiently.

NumPy, short for Numerical Python, is a foundational library for scientific computing in Python. It provides support for multidimensional arrays and matrices, along with a collection of mathematical functions to perform operations on these arrays efficiently. NumPy’s array object, ndarray, allows for fast and flexible handling of large datasets, making it an essential tool for numerical analysis and data manipulation.

Pandas is a powerful data manipulation and analysis library designed to make working with structured data intuitive and straightforward. It introduces two primary data structures: Series and DataFrame. A Series is essentially a one-dimensional labeled array, while a DataFrame is a two-dimensional labeled data structure, similar to a table in a database or a spreadsheet.

To subscribe to this product from Azure Marketplace and initiate an instance using the Azure compute service, follow these steps:

1. Navigate to Azure Marketplace and subscribe to the desired product.
2. Search for “virtual machines” and select “Virtual machines” under Services.
3. Click on “Add” in the Virtual machines page, which will lead you to the Create a virtual machine page.
4. In the Basics tab:

• • Ensure the correct subscription is chosen under Project details.
  • Opt for creating a new resource group by selecting “Create new resource group” and name it as “myResourceGroup.”

5. Under Instance details:

• • Enter “myVM” as the Virtual machine name.
  • Choose “East US” as the Region.
  • Select “Ubuntu 18.04 LTS” as the Image.
  • Leave other settings as default.

6. For Administrator account:

• • Pick “SSH public key.”
  • Provide your user name and paste your public key, ensuring no leading or trailing white spaces.

7. Under Inbound port rules > Public inbound ports:

• • Choose “Allow selected ports.”
  • Select “SSH (22)” and “HTTP (80)” from the drop-down.

8. Keep the remaining settings at their defaults and click on “Review + create” at the bottom of the page.
9. The “Create a virtual machine” page will display the details of the VM you’re about to create. Once ready, click on “Create.”
10. The deployment process will take a few minutes. Once it’s finished, proceed to the next section.

To connect to the virtual machine:

1. Access the overview page of your VM and click on “Connect.”
2. On the “Connect to virtual machine” page:

• • Keep the default options for connecting via IP address over port 22.
  • A connection command for logging in will be displayed. Click the button to copy the command. Here’s an example of what the SSH connection command looks like:
    “`
    ssh [email protected]
    “`

3. Using the same bash shell that you used to generate your SSH key pair, you can either reopen the Cloud Shell by selecting >_ again

or going to https://shell.azure.com/bash.
4. Paste the SSH connection command into the shell to initiate an SSH session.

Usage/Deployment Instructions

Anarion Technologies – H2o-Numpy-Pandas

Note: Search product on Azure marketplace and click on “Get it now”

Click on Continue

Click on Create

Creating a Virtual Machine, enter or select appropriate values for zone, machine type, resource group and so on as per your choice.

After Process of Create Virtual Machine. You have got an Option Go to Resource Group 

Click Go to Resource Group

Copy the Public IP Address

Click on the Network Security Group: h2o-nsg

Click on Inbound Security Rule

Click on Add

Add Port

Add Port

Destination
Port Ranges Section*  (where default value is 8080)

54321

Select Protocol as TCP

Option Action is to be Allow

Click on Add     

Click on Refresh

Copy the Public IP Address

SSH into Terminal and Run these following Commands:

$ sudo su
$ sudo apt update
$ cd h2o-3.46.0.5/
$ java -jar h2o.jar

Use the browser to access the application at “http:// Instance IP Address:54321″

Welcome to the H2o Console

Services

ThankYou!!!