工作流示例#

使用 Kubernetes 和 XGBoost GPU 算法扩展超参数优化

library/xgboost library/optuna library/dask tools/dask-kubernetes library/scikit-learn workflow/hpo platforms/kubeflow platforms/kubernetes

使用 Kubernetes 和 XGBoost GPU 算法扩展超参数优化

在 Kubernetes 上使用多 GPU 工作负载扩展超参数优化

library/xgboost library/optuna library/dask library/dask-kubernetes library/scikit-learn workflow/hpo dataset/nyc-taxi data-storage/gcs data-format/csv platforms/kubeflow platforms/kubernetes

在 Kubernetes 上使用多 GPU 工作负载扩展超参数优化

Optuna 和 RAPIDS HPO 入门

library/optuna library/dask workflow/hpo library/cuml library/numpy dataset/bnp-claims

Optuna 和 RAPIDS HPO 入门

在 Amazon SageMaker 上大规模运行 RAPIDS 超参数实验

cloud/aws/sagemaker workflow/hpo library/cudf library/cuml library/scikit-learn data-format/csv data-storage/s3

在 Amazon SageMaker 上大规模运行 RAPIDS 超参数实验

深入了解在 AWS SageMaker 上运行超参数优化

cloud/aws/sagemaker workflow/hpo library/xgboost library/cuml library/cupy library/cudf library/dask data-storage/s3 data-format/parquet

深入了解在 AWS SageMaker 上运行超参数优化

在 AWS 上使用 dask-cloudprovider 的多节点多 GPU 示例

cloud/aws/ec2-multi library/cuml library/dask library/numpy library/dask-ml library/cudf workflow/randomforest tools/dask-cloudprovider data-format/csv data-storage/gcs

在 AWS 上使用 dask-cloudprovider 的多节点多 GPU 示例

Kubernetes 多租户自动扩展深入探讨

cloud/gcp/gke tools/dask-operator library/cuspatial library/dask library/cudf data-format/parquet data-storage/gcs platforms/kubernetes

Kubernetes 多租户自动扩展深入探讨

使用 dask-ml 和 cuml 进行 HPO

dataset/airline library/numpy library/pandas library/xgboost library/dask library/dask-cuda library/dask-ml library/cuml cloud/aws/ec2 cloud/azure/azure-vm cloud/gcp/compute-engine cloud/ibm/virtual-server library/sklearn data-storage/s3 workflow/hpo

使用 dask-ml 和 cuml 进行 HPO

在 AzureML 上使用 RAPIDS 进行训练和超参数调优

cloud/azure/ml library/cudf library/cuml library/randomforest workflow/hpo

在 AzureML 上使用 RAPIDS 进行训练和超参数调优

在配备 NVIDIA GPU 的 Google Kubernetes Engine 上执行时间序列预测

cloud/gcp/gke tools/dask-operator workflow/hpo workflow/xgboost library/dask library/dask-cuda library/xgboost library/optuna data-storage/gcs platforms/kubernetes

在配备 NVIDIA GPU 的 Google Kubernetes Engine 上执行时间序列预测

使用 RAPIDS 和 Dask 进行 HPO 基准测试

cloud/aws/ec2 data-storage/s3 workflow/randomforest workflow/hpo workflow/xgboost library/dask library/dask-cuda library/xgboost library/optuna library/sklearn library/dask-ml

使用 RAPIDS 和 Dask 进行 HPO 基准测试

在 Databricks 中使用 Dask RAPIDS 训练 XGBoost

library/dask library/dask-cudf library/xgboost library/dask-deltatable library/dask-databricks library/dask-ml workflow/xgboost dataset/higgs data-format/csv data-storage/databricks-delta-lake platforms/databricks

在 Databricks 中使用 Dask RAPIDS 训练 XGBoost

在 Azure 上使用 dask-cloudprovider 的多节点多 GPU XGBoost 示例

cloud/azure/azure-vm-multi tools/dask-cloudprovider library/cudf library/cuml library/xgboost library/dask library/fil data-storage/azure-data-lake dataset/nyc-taxi workflow/xgboost

在 Azure 上使用 dask-cloudprovider 的多节点多 GPU XGBoost 示例

使用十亿行挑战衡量性能

tools/dask-cuda data-format/csv library/cudf library/cupy library/dask library/pandas cloud/aws/ec2 cloud/aws/sagemaker cloud/azure/azure-vm cloud/azure/ml cloud/gcp/compute-engine cloud/gcp/vertex-ai

使用十亿行挑战衡量性能

cudf.pandas 和 Snowflake 入门

library/cudf platforms/snowflake

cudf.pandas 和 Snowflake 入门