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Java NaiveBayes类代码示例

本文整理汇总了Java中hex.naivebayes.NaiveBayes类的典型用法代码示例。如果您正苦于以下问题：Java NaiveBayes类的具体用法？Java NaiveBayes怎么用？Java NaiveBayes使用的例子？那么, 这里精选的类代码示例或许可以为您提供帮助。


NaiveBayes类属于hex.naivebayes包，在下文中一共展示了NaiveBayes类的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Java代码示例。

示例1: buildModel

import hex.naivebayes.NaiveBayes; //导入依赖的package包/类
@Override
public ModelBuilder buildModel(NaiveBayesModel.NaiveBayesParameters params) {
  return new NaiveBayes(params);
}
开发者ID:kyoren，项目名称:https-github.com-h2oai-h2o-3，代码行数:5，代码来源:ModelFactories.java

示例2: register

import hex.naivebayes.NaiveBayes; //导入依赖的package包/类
@Override
public void register(String relativeResourcePath) {
  /////////////////////////////////////////////////////////////////////////////////////////////
  // Register the algorithms and their builder handlers:
  ModelBuilder.registerModelBuilder("gbm", "Gradient Boosting Machine", GBM.class);
  H2O.registerPOST("/3/ModelBuilders/gbm", GBMBuilderHandler.class, "train", "Train a GBM model on the specified Frame.");
  H2O.registerPOST("/3/ModelBuilders/gbm/parameters", GBMBuilderHandler.class, "validate_parameters", "Validate a set of GBM model builder parameters.");

  ModelBuilder.registerModelBuilder("drf", "Distributed RF", DRF.class);
  H2O.registerPOST("/3/ModelBuilders/drf", DRFBuilderHandler.class, "train",                                                        "Train a DRF model on the specified Frame.");
  H2O.registerPOST("/3/ModelBuilders/drf/parameters", DRFBuilderHandler.class, "validate_parameters", "Validate a set of DRF model builder parameters.");

  ModelBuilder.registerModelBuilder("kmeans", "K-means", KMeans.class);
  H2O.registerPOST("/3/ModelBuilders/kmeans", KMeansBuilderHandler.class, "train",                                                  "Train a KMeans model on the specified Frame.");
  H2O.registerPOST("/3/ModelBuilders/kmeans/parameters", KMeansBuilderHandler.class, "validate_parameters", "Validate a set of KMeans model builder parameters.");

  ModelBuilder.registerModelBuilder("deeplearning", "Deep Learning", DeepLearning.class);
  H2O.registerPOST("/3/ModelBuilders/deeplearning", DeepLearningBuilderHandler.class, "train",                                      "Train a Deep Learning model on the specified Frame.");
  H2O.registerPOST("/3/ModelBuilders/deeplearning/parameters", DeepLearningBuilderHandler.class, "validate_parameters", "Validate a set of Deep Learning model builder parameters.");

  ModelBuilder.registerModelBuilder("glm", "Generalized Linear Model", GLM.class);
  H2O.registerPOST("/3/ModelBuilders/glm", GLMBuilderHandler.class, "train",                                                        "Train a GLM model on the specified Frame.");
  H2O.registerPOST("/3/ModelBuilders/glm/parameters", GLMBuilderHandler.class, "validate_parameters",                               "Validate a set of GLM model builder parameters.");
  H2O.registerPOST("/3/MakeGLMModel", MakeGLMModelHandler.class, "make_model", "make a new GLM model based on existing one");

  ModelBuilder.registerModelBuilder("naivebayes", "Naive Bayes", NaiveBayes.class);
  H2O.registerPOST("/3/ModelBuilders/naivebayes", NaiveBayesBuilderHandler.class, "train",                                          "Train a Naive Bayes model on the specified Frame.");
  H2O.registerPOST("/3/ModelBuilders/naivebayes/parameters", NaiveBayesBuilderHandler.class, "validate_parameters", "Validate a set of Naive Bayes model builder parameters.");

  ModelBuilder.registerModelBuilder("pca", "Principal Component Analysis", PCA.class);
  H2O.registerPOST("/3/ModelBuilders/pca", PCABuilderHandler.class, "train",                                                        "Train a PCA model on the specified Frame.");
  H2O.registerPOST("/3/ModelBuilders/pca/parameters", PCABuilderHandler.class, "validate_parameters", "Validate a set of PCA model builder parameters.");

  ModelBuilder.registerModelBuilder("glrm", "Beta - Generalized Low Rank Model", GLRM.class);
  H2O.registerPOST("/99/ModelBuilders/glrm", GLRMBuilderHandler.class, "train",                                                     "Train a GLRM model on the specified Frame.");
  H2O.registerPOST("/99/ModelBuilders/glrm/parameters", GLRMBuilderHandler.class, "validate_parameters", "Validate a set of GLRM model builder parameters.");

  ModelBuilder.registerModelBuilder("svd", "Beta - Singular Value Decomposition", SVD.class);
  H2O.registerPOST("/99/ModelBuilders/svd", SVDBuilderHandler.class, "train",                                                        "Train a SVD model on the specified Frame.");
  H2O.registerPOST("/99/ModelBuilders/svd/parameters", SVDBuilderHandler.class, "validate_parameters",                               "Validate a set of SVD model builder parameters.");

  // Grid search is experimental feature
  H2O.registerPOST("/99/Grid/glm", GLMGridSearchHandler.class, "train",                                                            "Run grid search for GLRM model.");
  H2O.registerPOST("/99/Grid/gbm", GBMGridSearchHandler.class, "train",                                                              "Run grid search for GBM model.");
  H2O.registerPOST("/99/Grid/drf", DRFGridSearchHandler.class, "train",                                                              "Run grid search for DRF model.");
  H2O.registerPOST("/99/Grid/kmeans", KMeansGridSearchHandler.class, "train",                                                        "Run grid search for KMeans model.");
  H2O.registerPOST("/99/Grid/deeplearning", DeepLearningGridSearchHandler.class, "train",                                            "Run grid search for DeepLearning model.");
  H2O.registerPOST("/99/Grid/glrm", GLRMGridSearchHandler.class, "train",                                                            "Run grid search for GLRM model.");
  H2O.registerPOST("/99/Grid/pca", PCAGridSearchHandler.class, "train",                                                              "Run grid search for PCA model.");
  H2O.registerPOST("/99/Grid/svd", SVDGridSearchHandler.class, "train",                                                              "Run grid search for SVD model.");
  H2O.registerPOST("/99/Grid/naivebayes", NaiveBayesGridSearchHandler.class, "train",                                                "Run grid search for Naive Bayes model.");

  // ModelBuilder.registerModelBuilder("word2vec", Word2Vec.class);
  // H2O.registerPOST("/3/ModelBuilders/word2vec", Word2VecBuilderHandler.class, "train",                                              "Train a Word2Vec model on the specified Frame.");
  // H2O.registerPOST("/3/ModelBuilders/word2vec/parameters", Word2VecBuilderHandler.class, "validate_parameters",                     "Validate a set of Word2Vec model builder parameters.");

  // ModelBuilder.registerModelBuilder("example", Example.class);
  // H2O.registerPOST("/3/ModelBuilders/example", ExampleBuilderHandler.class, "train",                                                "Train an Example model on the specified Frame.");
  // H2O.registerPOST("/3/ModelBuilders/example/parameters", ExampleBuilderHandler.class, "validate_parameters",                       "Validate a set of Example model builder parameters.");

  // ModelBuilder.registerModelBuilder("grep", Grep.class);
  // H2O.registerPOST("/3/ModelBuilders/grep", GrepBuilderHandler.class, "train",                                                      "Search a raw text file for matches");
  // H2O.registerPOST("/3/ModelBuilders/grep/parameters", GrepBuilderHandler.class, "validate_parameters",                             "Validate a set of Grep parameters.");
}
开发者ID:kyoren，项目名称:https-github.com-h2oai-h2o-3，代码行数:65，代码来源:Register.java


注：本文中的hex.naivebayes.NaiveBayes类示例由纯净天空整理自Github/MSDocs等开源代码及文档管理平台，相关代码片段筛选自各路编程大神贡献的开源项目，源码版权归原作者所有，传播和使用请参考对应项目的License；未经允许，请勿转载。