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  • SoftmaxTrain(batch)

    Description Parameters Script Example Script Result Description Softmax is a classifier for multi-class problem. Parameters Name Description Type Required? Defaul...
  • LinearSvmTrain(batch)

    Description Parameters Script Example Script Result Description Linear svm train batch operator. it uses hinge loss func by setting LinearModelType = SVM and model name = “...
  • 机器学习插件

    机器学习插件 版本:v1.6 机器学习插件 机器学习插件分为模型训练和模型服务两个插件,使用如下命令安装插件: vela addon enable model - training vela addon enable model - serving 模型训练插件中含有 model-training 和 jupyter-notebook ...
  • Kubeflow Overview

    Kubeflow Overview Conceptual overview Introducing the ML workflow Kubeflow components in the ML workflow Example of a specific ML workflow Kubeflow interfaces Kubeflow user int...
  • Support

    Support Levels of support Support from the Kubeflow community Support from providers in the Kubeflow ecosystem Support from a cloud or platform provider Other places to ask que...
  • Development Guide

    1394 2019-05-25 《LightGBM 中文文档》
    Development Guide Algorithms Classes and Code Structure Important Classes Code Structure Documents API C API High Level Language Package Questions Development Guide A...
  • Kubeflow Overview

    Kubeflow Overview Conceptual overview Introducing the ML workflow Kubeflow components in the ML workflow Example of a specific ML workflow Kubeflow interfaces Kubeflow user int...
  • Install Kubeflow Fairing

    Install Kubeflow Fairing Using Kubeflow Fairing with Kubeflow notebooks Set up Kubeflow Fairing for local development Set up Python Install Kubeflow Fairing Docker setup Config...
  • Install Kubeflow Fairing

    Install Kubeflow Fairing Using Kubeflow Fairing with Kubeflow notebooks Set up Kubeflow Fairing for local development Set up Python Install Kubeflow Fairing Docker setup Config...
  • 1.9. Naive Bayes

    1.9. Naive Bayes 1.9.1. Gaussian Naive Bayes 1.9.2. Multinomial Naive Bayes 1.9.3. Complement Naive Bayes 1.9.4. Bernoulli Naive Bayes 1.9.5. Categorical Naive Bayes 1.9.6. Ou...