Welcome to InterSystems IRIS Cloud IntegratedML!
The IntegratedML featureOpens in a new tab of InterSystems IRIS® Data Platform enables organizations without extensive machine learning expertise to define and execute predictive models by applying automated functions directly from SQL. InterSystems IRIS Cloud IntegratedML lets you use IntegratedML as a cloud service. Cloud IntegratedML is available as an optional feature of the InterSystems IRIS Cloud SQL service.
Cloud IntegratedML gets you started on machine learning without the burden of provisioning, configuring, and maintaining cloud infrastructure. When you include Cloud IntegratedML as part of your Cloud SQL deployment, you can use the InterSystems Cloud Services Portal to upload any needed data files to the deployment, create schemas and tables, load or insert data into the tables, and execute the four stages of the machine learning process:
Create a modelOpens in a new tab, which defines the elements of a predictive model, including the input fields (features), the predicted field (label), and the data types of these fields.
Train the modelOpens in a new tab using the configured provider, which uses a structured process to compare the performance of different machine learning model types (linear regression, random forest, and so on) with the data.
Validate the trained modelOpens in a new tab against data like the data it was trained on, returning simple metrics for both regression (data range) models and classification (category) models.
PredictOpens in a new tab the output field (label) value for each row in a set of data containing the input fields (features) the model was trained on. Classification models can also call on the provider to return the probability that the predicted value is the correct result for the model.
You can also connect to Cloud IntergratedML from your Python, Java, .NET, or C++ application in these three easy steps:
Download the InterSystems driverOpens in a new tab for DB-API , JDBC, ADO.NET, or ODBC.
Get the connection information for your deployment from the Deployment Details page in the Portal.
Add the connection string to your application as described in Connecting to InterSystems Cloud ServicesOpens in a new tab, a set of two-minute videos, or in the document Connecting Your Application to InterSystems IRISOpens in a new tab.
Your application can then make full use of Cloud IntegratedML as described above (although you must use the Portal to upload any needed data files to the deployment).
To learn more about machine learning and IntegratedML, start with the Machine LearningOpens in a new tab page in the InterSystems IRIS documentation; to explore InterSystems SQL, see the SQLOpens in a new tab page.