书栈网 · BookStack 本次搜索耗时 0.020 秒,为您找到 3578 个相关结果.
  • Custom models

    Custom local models Model support Preparing a model Model format Model size Prerequisites Cluster settings Step 1: Register a model group Step 2: Register a local model Ste...
  • Community

    OpenFaaS Community Community resources Slack Workspace Join Slack now Insiders Track and GitHub Sponsors Social media Slack vs. GitHub issues Contribute Press-kit/media/swag...
  • Apache Hive

    Running Apache Hive with Alluxio Prerequisites Basic Setup Example: Create New Hive Tables in Alluxio Prepare Data in Alluxio Create a New Internal Table Create a New External ...
  • 感谢

    感谢 在我们结束这本书的最后一章之前,我想感谢你们读到最后一段。我真心希望你能像我写这本书一样愉快地阅读这本书,这对你的项目,或多或少都是有用的。 如果发现错误,请发送反馈。更一般地说,我很想知道你的想法,所以请不要犹豫,通过 O’Reilly 来与我联系,或者通过 ageron/handson-ml GITHUB 项目来练习。 对你来说,我最好的建...
  • Deploy model

    Deploy a model Path and HTTP methods Example request: Deploying to all available ML nodes Example request: Deploying to a specific node Example response Check the status of mo...
  • Deploy model

    Deploy a model Path and HTTP methods Example request: Deploying to all available ML nodes Example request: Deploying to a specific node Example response Check the status of mo...
  • Connecting to Kubeflow Pipelines using the SDK client

    Connecting to Kubeflow Pipelines using the SDK client Before you begin Connect to Kubeflow Pipelines using SDK Connect to Kubeflow Pipelines from outside your cluster Connect to ...
  • Submitter

    740 2019-06-26 《SQLFlow Document》
    Submitter Workflow Submitter Interface Register a submitter Submitter A submitter is a pluggable module in SQLFlow that is used to submit an ML job to a third party computat...
  • Getting Started

    1053 2019-07-22 《MLeap Document》
    Getting Started Typical MLeap Workflow Training Serialization Execution Components MLeap Spark MLeap Scikit MLeap Bundle MLeap Runtime Getting Started Whether using ML...
  • 6、其他资源

    6、其他资源 有许多资源可用于了解机器学习。Andrew Ng 在 Coursera 上的 ML 课程 和 Geoffrey Hinton 关于神经网络和深度学习 的课程都是非常棒的,尽管这些课程需要大量的时间投入(大概是几个月)。 还有许多关于机器学习的比较有趣的网站,当然还包括 scikit-learn 出色的 用户指南 。你可能会喜欢上 Dat...