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#Org.apache.spark.mllib.classification Classes and Interfaces - 9 results found.
| Name | Description | Type | Package | Framework |
| ClassificationModel | Represents a classification model that predicts to which of a set of categories an example belongs. | Interface | org.apache.spark.mllib.classification | Apache Spark |
| LogisticRegressionModel | Classification model trained using Multinomial/Binary Logistic Regression. | Class | org.apache.spark.mllib.classification | Apache Spark |
| LogisticRegressionWithLBFGS | Train a classification model for Multinomial/Binary Logistic Regression using Limited-memory BFGS. | Class | org.apache.spark.mllib.classification | Apache Spark |
| LogisticRegressionWithSGD | Train a classification model for Binary Logistic Regression using Stochastic Gradient Descent. | Class | org.apache.spark.mllib.classification | Apache Spark |
| NaiveBayes | Class | org.apache.spark.mllib.classification | Apache Spark | |
| NaiveBayesModel | Model for Naive Bayes Classifiers. | Class | org.apache.spark.mllib.classification | Apache Spark |
| StreamingLogisticRegressionWithSGD | Train or predict a logistic regression model on streaming data. | Class | org.apache.spark.mllib.classification | Apache Spark |
| SVMModel | Model for Support Vector Machines (SVMs). | Class | org.apache.spark.mllib.classification | Apache Spark |
| SVMWithSGD | Train a Support Vector Machine (SVM) using Stochastic Gradient Descent. | Class | org.apache.spark.mllib.classification | Apache Spark |