Python API lightgbm.train lightgbm.train  lightgbm. train ( params , train_set , num_boost_round = 100 , valid_sets ...

FastAPI framework, high performance, easy to learn, fast to code, ready for production

FastAPI framework, high performance, easy to learn, fast to code, ready for production

FastAPI framework, high performance, easy to learn, fast to code, ready for production

English ▾ English Português (Brasil) 简体中文 Topics ▾ Setup and Config git config help bugreport Credential helpers Gett...

Objectives Learn about application Deployments. Deploy your first app on Kubernetes with kubectl. Kubernetes Deployments A Deployment is responsible for creating and updating instances of your application. Note:This tutorial uses a container that requires the AMD64 architecture. If you are using minikube on a computer with a different CPU architecture, you could try using minikube with a driver that can emulate AMD64. For example, the Docker Desktop driver can do this.

English ▾ English Português (Brasil) 简体中文 Topics ▾ Setup and Config git config help bugreport Credential helpers Gett...

FastAPI framework, high performance, easy to learn, fast to code, ready for production

FastAPI framework, high performance, easy to learn, fast to code, ready for production

FEATURE STATE: Kubernetes v1.33 [stable] (enabled by default: true) This document shares how to extend the existing Service IP range assigned to a cluster. Before you begin You need to have a Kubernetes cluster, and the kubectl command-line tool must be configured to communicate with your cluster. It is recommended to run this tutorial on a cluster with at least two nodes that are not acting as control plane hosts.