Learning about the flow of interaction between the client and the H2O service
In Chapter 1, Understanding H2O AutoML Basics, and Chapter 2, Working with H2O Flow (H2O’s Web UI), we saw how we can send a command to H2O to import a dataset or train a model. Let’s try to understand what happens behind the scenes when you send a request to the H2O server, beginning with data ingestion.
Learning about H2O client-server interactions during the ingestion of data
The process of a system ingesting data is the same as how we read a book in real life: we open the book and start reading one line at a time. Similarly, when you want your program to read a dataset stored in your system, you will first inform the program about the location of the dataset. The program will then open the file and start reading the bytes of the data line by line and store it in its RAM. However, the issue with the type of sequential data reading in ML is that datasets tend to be huge in ML. Such data...
