Uses of Class
com.google.api.services.prediction.model.Insert

Packages that use Insert

Package	Description
com.google.api.services.prediction
com.google.api.services.prediction.model

Uses of Insert in com.google.api.services.prediction

Methods in com.google.api.services.prediction with parameters of type Insert

Modifier and Type	Method and Description
Prediction.Trainedmodels.Insert	Prediction.Trainedmodels.insert(java.lang.String project, Insert content) Train a Prediction API model.

Constructors in com.google.api.services.prediction with parameters of type Insert

Constructor and Description
Prediction.Trainedmodels.Insert(java.lang.String project, Insert content) Train a Prediction API model.

Uses of Insert in com.google.api.services.prediction.model

Methods in com.google.api.services.prediction.model that return Insert

Modifier and Type	Method and Description
Insert	Insert.clone()
Insert	Insert.set(java.lang.String fieldName, java.lang.Object value)
Insert	Insert.setId(java.lang.String id) The unique name for the predictive model.
Insert	Insert.setModelType(java.lang.String modelType) Type of predictive model (classification or regression).
Insert	Insert.setSourceModel(java.lang.String sourceModel) The Id of the model to be copied over.
Insert	Insert.setStorageDataLocation(java.lang.String storageDataLocation) Google storage location of the training data file.
Insert	Insert.setStoragePMMLLocation(java.lang.String storagePMMLLocation) Google storage location of the preprocessing pmml file.
Insert	Insert.setStoragePMMLModelLocation(java.lang.String storagePMMLModelLocation) Google storage location of the pmml model file.
Insert	Insert.setTrainingInstances(java.util.List<Insert.TrainingInstances> trainingInstances) Instances to train model on.
Insert	Insert.setUtility(java.util.List<java.util.Map<java.lang.String,java.lang.Double>> utility) A class weighting function, which allows the importance weights for class labels to be specified (Categorical models only).