Core Concepts Core Concepts MLeap uses several core building blocks to deploy your pipelines in aneasy-to-use manner. Concept Description Data Frames Used to store d...
Using externally hosted ML models for batch ingestion Step 1: Register a model group Step 2: Create a connector Step 3: Register an externally hosted model Step 4: Deploy the mo...
Model access control Model groups Model access control prerequisites Assigning backend roles to users Enabling model access control Registering a model group Path and HTTP meth...
Features of Kubeflow on GCP Next steps Features of Kubeflow on GCP Reasons to use Kubeflow on Google Cloud Platform (GCP) Running Kubeflow on GCP brings you the following fea...
Getting Started with Spark Adding MLeap Spark to Your Project Using SBT Using Maven Getting Started with Spark MLeap Spark integration provides serialization of Spark-traine...
Lifespan Events Use Case Lifespan Lifespan function Async Context Manager Alternative Events (deprecated) startup event shutdown event startup and shutdown together Tec...
OpenSearch plugin installation Install a plugin Remove a plugin List installed plugins Available plugins OpenSearch plugin installation You can install individual plugins on...