Building an AI ML OPS Model Using Python H2O - Classroom Activity
To understand the basic concepts of MLOPS and be able to build a simple MLOPS model using Python H2O.
Step 1: Importing Necessary Libraries
The first step in building an MLOPS model using Python H2O involves importing the necessary Python libraries. These libraries provide the tools and functions that we'll use throughout the model building process.
Here's how you do it:
from h2o.automl import H2OAutoML
Role of Imported Libraries:
h2o: This is the main H2O library we'll be using. It provides an open-source software to setup your h2o platform to do data analysis.
It is used for preparing data and training models, and it provides algorithms for machine learning tasks. H2OAutoML: This is a class from the H2O library that provides Automated Machine Learning (AutoML). It automates the process of training and tuning a large selection of candidate models. It includes data pre-processing, variable selection, model selection, and hyperparameter tuning.
Step 2: Initializing H2O Cluster: This is a Java Class, run under the JRE
After importing the necessary libraries, the next step is to start the H2O cluster. This is done with the h2o.init() function.
The h2o.init() function starts the H2O Java Web Server in the JVM on your OS with specified configurations. It connects to an existing H2O JVM instance based on the PORT Number or attempts to start a new one.
We need to install the JRE on our Operating System.
Remember to check the versions of your libraries to ensure compatibility.
You can use the print(h2o.__version__) function to print the version of h2o currently installed on your machine.
Next steps will include:
importing and cleaning the data
defining the model
training the model\
evaluating model performance.
These will be covered in the subsequent sessions. Next week, I will give you some training data to practice on.
By the end of this step, you should have successfully set up your Python environment with the necessary libraries for building an MLOPS model using Python H2O.
You should also have a basic understanding of what these libraries do.