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

This page explains two different approaches to setting up a highly available Kubernetes cluster using kubeadm: With stacked control plane nodes. This approach requires less infrastructure. The etcd members and control plane nodes are co-located. With an external etcd cluster. This approach requires more infrastructure. The control plane nodes and etcd members are separated. Before proceeding, you should carefully consider which approach best meets the needs of your applications and environment.

This page covers how to customize the components that kubeadm deploys. For control plane components you can use flags in the ClusterConfiguration structure or patches per-node. For the kubelet and kube-proxy you can use KubeletConfiguration and KubeProxyConfiguration, accordingly. All of these options are possible via the kubeadm configuration API. For more details on each field in the configuration you can navigate to our API reference pages. Note:To reconfigure a cluster that has already been created see Reconfiguring a kubeadm cluster.

Production-Grade Container Orchestration

Compute feature importance in a model Source: R/lgb.importance.R lgb.importance.Rd Creates a data.table of feature im...

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Python API lightgbm.LGBMClassifier lightgbm.LGBMClassifier  class lightgbm. LGBMClassifier ( * , boosting_type = 'gb...

Python API lightgbm.plot_metric lightgbm.plot_metric  lightgbm. plot_metric ( booster , metric = None , dataset_name...