Train an AutoML classification model
Now our dataset is ready and we can move to the next step to training an AutoML model.
Step 6 – Training the AutoML classification
- Click Train new model > Other.
Step 7 – Creating the Training method
- Make sure that you have selected the created dataset in your training method pane.
- For the Objective field, select Classification, you can choose anyone you want as per your requirement.
- Then Select AutoML method and Click Continue.
Step 8 – Adding more Model details
- Choose the target column in the Model details box; in this case, I’ve chosen Deposit; then click Continue.
- You train the model to predict values in the target column. The Deposit column in the bank-marketing.csv file specifies whether the client bought a term deposit (2 = yes, 1 = no).
You have the ability to add features and modify column data in the Training settings window. By default, all non-target columns will be utilized as training features if no columns are chosen. There is no need to change this dataset because it is ready to use.
- Click Continue.
Step 9 – Checking the Compute and Pricing for Model
- Navigate to the Compute and Pricing block and enter “1” as the training budget.
The amount of time allotted for training is determined by the training budget, but because other tasks must be completed as well, the total time may exceed one hour. When the model has finished training, a live link with a green checkmark status icon appears on the model tab.
- Click Start Training.
Wait for some time, and your model is now being trained, For me, it takes roughly two hours to complete.
Vertex AI for AutoML users
The whole machine-learning process, from the preparation of the data through the model deployment, is automated using the AutoML technique. For users with various degrees of expertise and resources, it aims to make machine learning simpler and more efficient. Using diverse methods, such as AutoML or custom code training, and a variety of data types, such as photos, texts, or tables, you may develop and compare models using AutoML. AutoML may also assist you in tracking and explaining the behaviour and performance of your models.
Table of Content
- What is AutoML?
- What is Vertex AI?
- Vertex AI for AutoML users
- What are the benefits of Vertex AI for AutoML users?
- How to use Vertex AI for AutoML?
- Train an AutoML classification model
- Request a prediction from a hosted model
- Conclusion
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