- get(String, String) - Method in class com.google.api.services.prediction.Prediction.Trainedmodels
-
Check training status of your model.
- getAbstractGoogleClient() - Method in class com.google.api.services.prediction.PredictionRequest
-
- getAlt() - Method in class com.google.api.services.prediction.PredictionRequest
-
Data format for the response.
- getCategorical() - Method in class com.google.api.services.prediction.model.Analyze.DataDescription.Features
-
Description of the categorical values of this feature.
- getClassificationAccuracy() - Method in class com.google.api.services.prediction.model.Insert2.ModelInfo
-
A number between 0.0 and 1.0, where 1.0 is 100% accurate.
- getClassWeightedAccuracy() - Method in class com.google.api.services.prediction.model.Insert2.ModelInfo
-
Estimated accuracy of model taking utility weights into account (Categorical models only).
- getConfusionMatrix() - Method in class com.google.api.services.prediction.model.Analyze.ModelDescription
-
An output confusion matrix.
- getConfusionMatrixRowTotals() - Method in class com.google.api.services.prediction.model.Analyze.ModelDescription
-
A list of the confusion matrix row totals.
- getCount() - Method in class com.google.api.services.prediction.model.Analyze.DataDescription.Features.Categorical
-
Number of categorical values for this feature in the data.
- getCount() - Method in class com.google.api.services.prediction.model.Analyze.DataDescription.Features.Categorical.Values
-
Number of times this feature had this value.
- getCount() - Method in class com.google.api.services.prediction.model.Analyze.DataDescription.Features.Numeric
-
Number of numeric values for this feature in the data set.
- getCount() - Method in class com.google.api.services.prediction.model.Analyze.DataDescription.Features.Text
-
Number of multiple-word text values for this feature.
- getCount() - Method in class com.google.api.services.prediction.model.Analyze.DataDescription.OutputFeature.Numeric
-
Number of numeric output values in the data set.
- getCount() - Method in class com.google.api.services.prediction.model.Analyze.DataDescription.OutputFeature.Text
-
Number of times the output label occurred in the data set.
- getCreated() - Method in class com.google.api.services.prediction.model.Insert2
-
Insert time of the model (as a RFC 3339 timestamp).
- getCsvInstance() - Method in class com.google.api.services.prediction.model.Input.InputInput
-
A list of input features, these can be strings or doubles.
- getCsvInstance() - Method in class com.google.api.services.prediction.model.Insert.TrainingInstances
-
The input features for this instance.
- getCsvInstance() - Method in class com.google.api.services.prediction.model.Update
-
The input features for this instance.
- getDataDescription() - Method in class com.google.api.services.prediction.model.Analyze
-
Description of the data the model was trained on.
- getErrors() - Method in class com.google.api.services.prediction.model.Analyze
-
List of errors with the data.
- getFeatures() - Method in class com.google.api.services.prediction.model.Analyze.DataDescription
-
Description of the input features in the data set.
- getFields() - Method in class com.google.api.services.prediction.PredictionRequest
-
Selector specifying which fields to include in a partial response.
- getHostedModelName() - Method in class com.google.api.services.prediction.Prediction.Hostedmodels.Predict
-
The name of a hosted model.
- getId() - Method in class com.google.api.services.prediction.model.Analyze
-
The unique name for the predictive model.
- getId() - Method in class com.google.api.services.prediction.model.Insert
-
The unique name for the predictive model.
- getId() - Method in class com.google.api.services.prediction.model.Insert2
-
The unique name for the predictive model.
- getId() - Method in class com.google.api.services.prediction.model.Output
-
The unique name for the predictive model.
- getId() - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.Analyze
-
The unique name for the predictive model.
- getId() - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.Delete
-
The unique name for the predictive model.
- getId() - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.Get
-
The unique name for the predictive model.
- getId() - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.Predict
-
The unique name for the predictive model.
- getId() - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.Update
-
The unique name for the predictive model.
- getIndex() - Method in class com.google.api.services.prediction.model.Analyze.DataDescription.Features
-
The feature index.
- getInput() - Method in class com.google.api.services.prediction.model.Input
-
Input to the model for a prediction.
- getItems() - Method in class com.google.api.services.prediction.model.List
-
List of models.
- getKey() - Method in class com.google.api.services.prediction.PredictionRequest
-
API key.
- getKind() - Method in class com.google.api.services.prediction.model.Analyze
-
What kind of resource this is.
- getKind() - Method in class com.google.api.services.prediction.model.Insert2
-
What kind of resource this is.
- getKind() - Method in class com.google.api.services.prediction.model.List
-
What kind of resource this is.
- getKind() - Method in class com.google.api.services.prediction.model.Output
-
What kind of resource this is.
- getLabel() - Method in class com.google.api.services.prediction.model.Output.OutputMulti
-
The class label.
- getMaxResults() - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.List
-
Maximum number of results to return.
- getMean() - Method in class com.google.api.services.prediction.model.Analyze.DataDescription.Features.Numeric
-
Mean of the numeric values of this feature in the data set.
- getMean() - Method in class com.google.api.services.prediction.model.Analyze.DataDescription.OutputFeature.Numeric
-
Mean of the output values in the data set.
- getMeanSquaredError() - Method in class com.google.api.services.prediction.model.Insert2.ModelInfo
-
An estimated mean squared error.
- getModelDescription() - Method in class com.google.api.services.prediction.model.Analyze
-
Description of the model.
- getModelinfo() - Method in class com.google.api.services.prediction.model.Analyze.ModelDescription
-
Basic information about the model.
- getModelInfo() - Method in class com.google.api.services.prediction.model.Insert2
-
Model metadata.
- getModelType() - Method in class com.google.api.services.prediction.model.Insert
-
Type of predictive model (classification or regression).
- getModelType() - Method in class com.google.api.services.prediction.model.Insert2
-
Type of predictive model (CLASSIFICATION or REGRESSION).
- getModelType() - Method in class com.google.api.services.prediction.model.Insert2.ModelInfo
-
Type of predictive model (CLASSIFICATION or REGRESSION).
- getNextPageToken() - Method in class com.google.api.services.prediction.model.List
-
Pagination token to fetch the next page, if one exists.
- getNumberInstances() - Method in class com.google.api.services.prediction.model.Insert2.ModelInfo
-
Number of valid data instances used in the trained model.
- getNumberLabels() - Method in class com.google.api.services.prediction.model.Insert2.ModelInfo
-
Number of class labels in the trained model (Categorical models only).
- getNumeric() - Method in class com.google.api.services.prediction.model.Analyze.DataDescription.Features
-
Description of the numeric values of this feature.
- getNumeric() - Method in class com.google.api.services.prediction.model.Analyze.DataDescription.OutputFeature
-
Description of the output values in the data set.
- getOauthToken() - Method in class com.google.api.services.prediction.PredictionRequest
-
OAuth 2.0 token for the current user.
- getOutput() - Method in class com.google.api.services.prediction.model.Insert.TrainingInstances
-
The generic output value - could be regression or class label.
- getOutput() - Method in class com.google.api.services.prediction.model.Update
-
The generic output value - could be regression or class label.
- getOutputFeature() - Method in class com.google.api.services.prediction.model.Analyze.DataDescription
-
Description of the output value or label.
- getOutputLabel() - Method in class com.google.api.services.prediction.model.Output
-
The most likely class label (Categorical models only).
- getOutputMulti() - Method in class com.google.api.services.prediction.model.Output
-
A list of class labels with their estimated probabilities (Categorical models only).
- getOutputValue() - Method in class com.google.api.services.prediction.model.Output
-
The estimated regression value (Regression models only).
- getPageToken() - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.List
-
Pagination token.
- getPrettyPrint() - Method in class com.google.api.services.prediction.PredictionRequest
-
Returns response with indentations and line breaks.
- getProject() - Method in class com.google.api.services.prediction.Prediction.Hostedmodels.Predict
-
The project associated with the model.
- getProject() - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.Analyze
-
The project associated with the model.
- getProject() - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.Delete
-
The project associated with the model.
- getProject() - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.Get
-
The project associated with the model.
- getProject() - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.Insert
-
The project associated with the model.
- getProject() - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.List
-
The project associated with the model.
- getProject() - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.Predict
-
The project associated with the model.
- getProject() - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.Update
-
The project associated with the model.
- getQuotaUser() - Method in class com.google.api.services.prediction.PredictionRequest
-
Available to use for quota purposes for server-side applications.
- getScore() - Method in class com.google.api.services.prediction.model.Output.OutputMulti
-
The probability of the class label.
- getSelfLink() - Method in class com.google.api.services.prediction.model.Analyze
-
A URL to re-request this resource.
- getSelfLink() - Method in class com.google.api.services.prediction.model.Insert2
-
A URL to re-request this resource.
- getSelfLink() - Method in class com.google.api.services.prediction.model.List
-
A URL to re-request this resource.
- getSelfLink() - Method in class com.google.api.services.prediction.model.Output
-
A URL to re-request this resource.
- getSourceModel() - Method in class com.google.api.services.prediction.model.Insert
-
The Id of the model to be copied over.
- getStorageDataLocation() - Method in class com.google.api.services.prediction.model.Insert
-
Google storage location of the training data file.
- getStorageDataLocation() - Method in class com.google.api.services.prediction.model.Insert2
-
Google storage location of the training data file.
- getStoragePMMLLocation() - Method in class com.google.api.services.prediction.model.Insert
-
Google storage location of the preprocessing pmml file.
- getStoragePMMLLocation() - Method in class com.google.api.services.prediction.model.Insert2
-
Google storage location of the preprocessing pmml file.
- getStoragePMMLModelLocation() - Method in class com.google.api.services.prediction.model.Insert
-
Google storage location of the pmml model file.
- getStoragePMMLModelLocation() - Method in class com.google.api.services.prediction.model.Insert2
-
Google storage location of the pmml model file.
- getText() - Method in class com.google.api.services.prediction.model.Analyze.DataDescription.Features
-
Description of multiple-word text values of this feature.
- getText() - Method in class com.google.api.services.prediction.model.Analyze.DataDescription.OutputFeature
-
Description of the output labels in the data set.
- getTrainingComplete() - Method in class com.google.api.services.prediction.model.Insert2
-
Training completion time (as a RFC 3339 timestamp).
- getTrainingInstances() - Method in class com.google.api.services.prediction.model.Insert
-
Instances to train model on.
- getTrainingStatus() - Method in class com.google.api.services.prediction.model.Insert2
-
The current status of the training job.
- getUserIp() - Method in class com.google.api.services.prediction.PredictionRequest
-
IP address of the site where the request originates.
- getUtility() - Method in class com.google.api.services.prediction.model.Insert
-
A class weighting function, which allows the importance weights for class labels to be
specified (Categorical models only).
- getValue() - Method in class com.google.api.services.prediction.model.Analyze.DataDescription.Features.Categorical.Values
-
The category name.
- getValue() - Method in class com.google.api.services.prediction.model.Analyze.DataDescription.OutputFeature.Text
-
The output label.
- getValues() - Method in class com.google.api.services.prediction.model.Analyze.DataDescription.Features.Categorical
-
List of all the categories for this feature in the data set.
- getVariance() - Method in class com.google.api.services.prediction.model.Analyze.DataDescription.Features.Numeric
-
Variance of the numeric values of this feature in the data set.
- getVariance() - Method in class com.google.api.services.prediction.model.Analyze.DataDescription.OutputFeature.Numeric
-
Variance of the output values in the data set.
- set(String, Object) - Method in class com.google.api.services.prediction.model.Analyze.DataDescription.Features.Categorical
-
- set(String, Object) - Method in class com.google.api.services.prediction.model.Analyze.DataDescription.Features.Categorical.Values
-
- set(String, Object) - Method in class com.google.api.services.prediction.model.Analyze.DataDescription.Features.Numeric
-
- set(String, Object) - Method in class com.google.api.services.prediction.model.Analyze.DataDescription.Features
-
- set(String, Object) - Method in class com.google.api.services.prediction.model.Analyze.DataDescription.Features.Text
-
- set(String, Object) - Method in class com.google.api.services.prediction.model.Analyze.DataDescription.OutputFeature.Numeric
-
- set(String, Object) - Method in class com.google.api.services.prediction.model.Analyze.DataDescription.OutputFeature
-
- set(String, Object) - Method in class com.google.api.services.prediction.model.Analyze.DataDescription.OutputFeature.Text
-
- set(String, Object) - Method in class com.google.api.services.prediction.model.Analyze.DataDescription
-
- set(String, Object) - Method in class com.google.api.services.prediction.model.Analyze.ModelDescription
-
- set(String, Object) - Method in class com.google.api.services.prediction.model.Analyze
-
- set(String, Object) - Method in class com.google.api.services.prediction.model.Input.InputInput
-
- set(String, Object) - Method in class com.google.api.services.prediction.model.Input
-
- set(String, Object) - Method in class com.google.api.services.prediction.model.Insert
-
- set(String, Object) - Method in class com.google.api.services.prediction.model.Insert.TrainingInstances
-
- set(String, Object) - Method in class com.google.api.services.prediction.model.Insert2.ModelInfo
-
- set(String, Object) - Method in class com.google.api.services.prediction.model.Insert2
-
- set(String, Object) - Method in class com.google.api.services.prediction.model.List
-
- set(String, Object) - Method in class com.google.api.services.prediction.model.Output.OutputMulti
-
- set(String, Object) - Method in class com.google.api.services.prediction.model.Output
-
- set(String, Object) - Method in class com.google.api.services.prediction.model.Update
-
- set(String, Object) - Method in class com.google.api.services.prediction.Prediction.Hostedmodels.Predict
-
- set(String, Object) - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.Analyze
-
- set(String, Object) - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.Delete
-
- set(String, Object) - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.Get
-
- set(String, Object) - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.Insert
-
- set(String, Object) - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.List
-
- set(String, Object) - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.Predict
-
- set(String, Object) - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.Update
-
- set(String, Object) - Method in class com.google.api.services.prediction.PredictionRequest
-
- setAlt(String) - Method in class com.google.api.services.prediction.Prediction.Hostedmodels.Predict
-
- setAlt(String) - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.Analyze
-
- setAlt(String) - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.Delete
-
- setAlt(String) - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.Get
-
- setAlt(String) - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.Insert
-
- setAlt(String) - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.List
-
- setAlt(String) - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.Predict
-
- setAlt(String) - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.Update
-
- setAlt(String) - Method in class com.google.api.services.prediction.PredictionRequest
-
Data format for the response.
- setApplicationName(String) - Method in class com.google.api.services.prediction.Prediction.Builder
-
- setCategorical(Analyze.DataDescription.Features.Categorical) - Method in class com.google.api.services.prediction.model.Analyze.DataDescription.Features
-
Description of the categorical values of this feature.
- setClassificationAccuracy(String) - Method in class com.google.api.services.prediction.model.Insert2.ModelInfo
-
A number between 0.0 and 1.0, where 1.0 is 100% accurate.
- setClassWeightedAccuracy(String) - Method in class com.google.api.services.prediction.model.Insert2.ModelInfo
-
Estimated accuracy of model taking utility weights into account (Categorical models only).
- setConfusionMatrix(Map<String, Map<String, String>>) - Method in class com.google.api.services.prediction.model.Analyze.ModelDescription
-
An output confusion matrix.
- setConfusionMatrixRowTotals(Map<String, String>) - Method in class com.google.api.services.prediction.model.Analyze.ModelDescription
-
A list of the confusion matrix row totals.
- setCount(Long) - Method in class com.google.api.services.prediction.model.Analyze.DataDescription.Features.Categorical
-
Number of categorical values for this feature in the data.
- setCount(Long) - Method in class com.google.api.services.prediction.model.Analyze.DataDescription.Features.Categorical.Values
-
Number of times this feature had this value.
- setCount(Long) - Method in class com.google.api.services.prediction.model.Analyze.DataDescription.Features.Numeric
-
Number of numeric values for this feature in the data set.
- setCount(Long) - Method in class com.google.api.services.prediction.model.Analyze.DataDescription.Features.Text
-
Number of multiple-word text values for this feature.
- setCount(Long) - Method in class com.google.api.services.prediction.model.Analyze.DataDescription.OutputFeature.Numeric
-
Number of numeric output values in the data set.
- setCount(Long) - Method in class com.google.api.services.prediction.model.Analyze.DataDescription.OutputFeature.Text
-
Number of times the output label occurred in the data set.
- setCreated(DateTime) - Method in class com.google.api.services.prediction.model.Insert2
-
Insert time of the model (as a RFC 3339 timestamp).
- setCsvInstance(List<Object>) - Method in class com.google.api.services.prediction.model.Input.InputInput
-
A list of input features, these can be strings or doubles.
- setCsvInstance(List<Object>) - Method in class com.google.api.services.prediction.model.Insert.TrainingInstances
-
The input features for this instance.
- setCsvInstance(List<Object>) - Method in class com.google.api.services.prediction.model.Update
-
The input features for this instance.
- setDataDescription(Analyze.DataDescription) - Method in class com.google.api.services.prediction.model.Analyze
-
Description of the data the model was trained on.
- setDisableGZipContent(boolean) - Method in class com.google.api.services.prediction.PredictionRequest
-
- setErrors(List<Map<String, String>>) - Method in class com.google.api.services.prediction.model.Analyze
-
List of errors with the data.
- setFeatures(List<Analyze.DataDescription.Features>) - Method in class com.google.api.services.prediction.model.Analyze.DataDescription
-
Description of the input features in the data set.
- setFields(String) - Method in class com.google.api.services.prediction.Prediction.Hostedmodels.Predict
-
- setFields(String) - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.Analyze
-
- setFields(String) - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.Delete
-
- setFields(String) - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.Get
-
- setFields(String) - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.Insert
-
- setFields(String) - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.List
-
- setFields(String) - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.Predict
-
- setFields(String) - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.Update
-
- setFields(String) - Method in class com.google.api.services.prediction.PredictionRequest
-
Selector specifying which fields to include in a partial response.
- setGoogleClientRequestInitializer(GoogleClientRequestInitializer) - Method in class com.google.api.services.prediction.Prediction.Builder
-
- setHostedModelName(String) - Method in class com.google.api.services.prediction.Prediction.Hostedmodels.Predict
-
The name of a hosted model.
- setHttpRequestInitializer(HttpRequestInitializer) - Method in class com.google.api.services.prediction.Prediction.Builder
-
- setId(String) - Method in class com.google.api.services.prediction.model.Analyze
-
The unique name for the predictive model.
- setId(String) - Method in class com.google.api.services.prediction.model.Insert
-
The unique name for the predictive model.
- setId(String) - Method in class com.google.api.services.prediction.model.Insert2
-
The unique name for the predictive model.
- setId(String) - Method in class com.google.api.services.prediction.model.Output
-
The unique name for the predictive model.
- setId(String) - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.Analyze
-
The unique name for the predictive model.
- setId(String) - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.Delete
-
The unique name for the predictive model.
- setId(String) - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.Get
-
The unique name for the predictive model.
- setId(String) - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.Predict
-
The unique name for the predictive model.
- setId(String) - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.Update
-
The unique name for the predictive model.
- setIndex(Long) - Method in class com.google.api.services.prediction.model.Analyze.DataDescription.Features
-
The feature index.
- setInput(Input.InputInput) - Method in class com.google.api.services.prediction.model.Input
-
Input to the model for a prediction.
- setItems(List<Insert2>) - Method in class com.google.api.services.prediction.model.List
-
List of models.
- setKey(String) - Method in class com.google.api.services.prediction.Prediction.Hostedmodels.Predict
-
- setKey(String) - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.Analyze
-
- setKey(String) - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.Delete
-
- setKey(String) - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.Get
-
- setKey(String) - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.Insert
-
- setKey(String) - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.List
-
- setKey(String) - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.Predict
-
- setKey(String) - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.Update
-
- setKey(String) - Method in class com.google.api.services.prediction.PredictionRequest
-
API key.
- setKind(String) - Method in class com.google.api.services.prediction.model.Analyze
-
What kind of resource this is.
- setKind(String) - Method in class com.google.api.services.prediction.model.Insert2
-
What kind of resource this is.
- setKind(String) - Method in class com.google.api.services.prediction.model.List
-
What kind of resource this is.
- setKind(String) - Method in class com.google.api.services.prediction.model.Output
-
What kind of resource this is.
- setLabel(String) - Method in class com.google.api.services.prediction.model.Output.OutputMulti
-
The class label.
- setMaxResults(Long) - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.List
-
Maximum number of results to return.
- setMean(String) - Method in class com.google.api.services.prediction.model.Analyze.DataDescription.Features.Numeric
-
Mean of the numeric values of this feature in the data set.
- setMean(String) - Method in class com.google.api.services.prediction.model.Analyze.DataDescription.OutputFeature.Numeric
-
Mean of the output values in the data set.
- setMeanSquaredError(String) - Method in class com.google.api.services.prediction.model.Insert2.ModelInfo
-
An estimated mean squared error.
- setModelDescription(Analyze.ModelDescription) - Method in class com.google.api.services.prediction.model.Analyze
-
Description of the model.
- setModelinfo(Insert2) - Method in class com.google.api.services.prediction.model.Analyze.ModelDescription
-
Basic information about the model.
- setModelInfo(Insert2.ModelInfo) - Method in class com.google.api.services.prediction.model.Insert2
-
Model metadata.
- setModelType(String) - Method in class com.google.api.services.prediction.model.Insert
-
Type of predictive model (classification or regression).
- setModelType(String) - Method in class com.google.api.services.prediction.model.Insert2.ModelInfo
-
Type of predictive model (CLASSIFICATION or REGRESSION).
- setModelType(String) - Method in class com.google.api.services.prediction.model.Insert2
-
Type of predictive model (CLASSIFICATION or REGRESSION).
- setNextPageToken(String) - Method in class com.google.api.services.prediction.model.List
-
Pagination token to fetch the next page, if one exists.
- setNumberInstances(Long) - Method in class com.google.api.services.prediction.model.Insert2.ModelInfo
-
Number of valid data instances used in the trained model.
- setNumberLabels(Long) - Method in class com.google.api.services.prediction.model.Insert2.ModelInfo
-
Number of class labels in the trained model (Categorical models only).
- setNumeric(Analyze.DataDescription.Features.Numeric) - Method in class com.google.api.services.prediction.model.Analyze.DataDescription.Features
-
Description of the numeric values of this feature.
- setNumeric(Analyze.DataDescription.OutputFeature.Numeric) - Method in class com.google.api.services.prediction.model.Analyze.DataDescription.OutputFeature
-
Description of the output values in the data set.
- setOauthToken(String) - Method in class com.google.api.services.prediction.Prediction.Hostedmodels.Predict
-
- setOauthToken(String) - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.Analyze
-
- setOauthToken(String) - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.Delete
-
- setOauthToken(String) - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.Get
-
- setOauthToken(String) - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.Insert
-
- setOauthToken(String) - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.List
-
- setOauthToken(String) - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.Predict
-
- setOauthToken(String) - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.Update
-
- setOauthToken(String) - Method in class com.google.api.services.prediction.PredictionRequest
-
OAuth 2.0 token for the current user.
- setOutput(String) - Method in class com.google.api.services.prediction.model.Insert.TrainingInstances
-
The generic output value - could be regression or class label.
- setOutput(String) - Method in class com.google.api.services.prediction.model.Update
-
The generic output value - could be regression or class label.
- setOutputFeature(Analyze.DataDescription.OutputFeature) - Method in class com.google.api.services.prediction.model.Analyze.DataDescription
-
Description of the output value or label.
- setOutputLabel(String) - Method in class com.google.api.services.prediction.model.Output
-
The most likely class label (Categorical models only).
- setOutputMulti(List<Output.OutputMulti>) - Method in class com.google.api.services.prediction.model.Output
-
A list of class labels with their estimated probabilities (Categorical models only).
- setOutputValue(Double) - Method in class com.google.api.services.prediction.model.Output
-
The estimated regression value (Regression models only).
- setPageToken(String) - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.List
-
Pagination token.
- setPredictionRequestInitializer(PredictionRequestInitializer) - Method in class com.google.api.services.prediction.Prediction.Builder
-
- setPrettyPrint(Boolean) - Method in class com.google.api.services.prediction.Prediction.Hostedmodels.Predict
-
- setPrettyPrint(Boolean) - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.Analyze
-
- setPrettyPrint(Boolean) - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.Delete
-
- setPrettyPrint(Boolean) - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.Get
-
- setPrettyPrint(Boolean) - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.Insert
-
- setPrettyPrint(Boolean) - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.List
-
- setPrettyPrint(Boolean) - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.Predict
-
- setPrettyPrint(Boolean) - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.Update
-
- setPrettyPrint(Boolean) - Method in class com.google.api.services.prediction.PredictionRequest
-
Returns response with indentations and line breaks.
- setProject(String) - Method in class com.google.api.services.prediction.Prediction.Hostedmodels.Predict
-
The project associated with the model.
- setProject(String) - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.Analyze
-
The project associated with the model.
- setProject(String) - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.Delete
-
The project associated with the model.
- setProject(String) - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.Get
-
The project associated with the model.
- setProject(String) - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.Insert
-
The project associated with the model.
- setProject(String) - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.List
-
The project associated with the model.
- setProject(String) - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.Predict
-
The project associated with the model.
- setProject(String) - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.Update
-
The project associated with the model.
- setQuotaUser(String) - Method in class com.google.api.services.prediction.Prediction.Hostedmodels.Predict
-
- setQuotaUser(String) - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.Analyze
-
- setQuotaUser(String) - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.Delete
-
- setQuotaUser(String) - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.Get
-
- setQuotaUser(String) - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.Insert
-
- setQuotaUser(String) - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.List
-
- setQuotaUser(String) - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.Predict
-
- setQuotaUser(String) - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.Update
-
- setQuotaUser(String) - Method in class com.google.api.services.prediction.PredictionRequest
-
Available to use for quota purposes for server-side applications.
- setRequestHeaders(HttpHeaders) - Method in class com.google.api.services.prediction.PredictionRequest
-
- setRootUrl(String) - Method in class com.google.api.services.prediction.Prediction.Builder
-
- setScore(String) - Method in class com.google.api.services.prediction.model.Output.OutputMulti
-
The probability of the class label.
- setSelfLink(String) - Method in class com.google.api.services.prediction.model.Analyze
-
A URL to re-request this resource.
- setSelfLink(String) - Method in class com.google.api.services.prediction.model.Insert2
-
A URL to re-request this resource.
- setSelfLink(String) - Method in class com.google.api.services.prediction.model.List
-
A URL to re-request this resource.
- setSelfLink(String) - Method in class com.google.api.services.prediction.model.Output
-
A URL to re-request this resource.
- setServicePath(String) - Method in class com.google.api.services.prediction.Prediction.Builder
-
- setSourceModel(String) - Method in class com.google.api.services.prediction.model.Insert
-
The Id of the model to be copied over.
- setStorageDataLocation(String) - Method in class com.google.api.services.prediction.model.Insert
-
Google storage location of the training data file.
- setStorageDataLocation(String) - Method in class com.google.api.services.prediction.model.Insert2
-
Google storage location of the training data file.
- setStoragePMMLLocation(String) - Method in class com.google.api.services.prediction.model.Insert
-
Google storage location of the preprocessing pmml file.
- setStoragePMMLLocation(String) - Method in class com.google.api.services.prediction.model.Insert2
-
Google storage location of the preprocessing pmml file.
- setStoragePMMLModelLocation(String) - Method in class com.google.api.services.prediction.model.Insert
-
Google storage location of the pmml model file.
- setStoragePMMLModelLocation(String) - Method in class com.google.api.services.prediction.model.Insert2
-
Google storage location of the pmml model file.
- setSuppressAllChecks(boolean) - Method in class com.google.api.services.prediction.Prediction.Builder
-
- setSuppressPatternChecks(boolean) - Method in class com.google.api.services.prediction.Prediction.Builder
-
- setSuppressRequiredParameterChecks(boolean) - Method in class com.google.api.services.prediction.Prediction.Builder
-
- setText(Analyze.DataDescription.Features.Text) - Method in class com.google.api.services.prediction.model.Analyze.DataDescription.Features
-
Description of multiple-word text values of this feature.
- setText(List<Analyze.DataDescription.OutputFeature.Text>) - Method in class com.google.api.services.prediction.model.Analyze.DataDescription.OutputFeature
-
Description of the output labels in the data set.
- setTrainingComplete(DateTime) - Method in class com.google.api.services.prediction.model.Insert2
-
Training completion time (as a RFC 3339 timestamp).
- setTrainingInstances(List<Insert.TrainingInstances>) - Method in class com.google.api.services.prediction.model.Insert
-
Instances to train model on.
- setTrainingStatus(String) - Method in class com.google.api.services.prediction.model.Insert2
-
The current status of the training job.
- setUserIp(String) - Method in class com.google.api.services.prediction.Prediction.Hostedmodels.Predict
-
- setUserIp(String) - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.Analyze
-
- setUserIp(String) - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.Delete
-
- setUserIp(String) - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.Get
-
- setUserIp(String) - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.Insert
-
- setUserIp(String) - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.List
-
- setUserIp(String) - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.Predict
-
- setUserIp(String) - Method in class com.google.api.services.prediction.Prediction.Trainedmodels.Update
-
- setUserIp(String) - Method in class com.google.api.services.prediction.PredictionRequest
-
IP address of the site where the request originates.
- setUtility(List<Map<String, Double>>) - Method in class com.google.api.services.prediction.model.Insert
-
A class weighting function, which allows the importance weights for class labels to be
specified (Categorical models only).
- setValue(String) - Method in class com.google.api.services.prediction.model.Analyze.DataDescription.Features.Categorical.Values
-
The category name.
- setValue(String) - Method in class com.google.api.services.prediction.model.Analyze.DataDescription.OutputFeature.Text
-
The output label.
- setValues(List<Analyze.DataDescription.Features.Categorical.Values>) - Method in class com.google.api.services.prediction.model.Analyze.DataDescription.Features.Categorical
-
List of all the categories for this feature in the data set.
- setVariance(String) - Method in class com.google.api.services.prediction.model.Analyze.DataDescription.Features.Numeric
-
Variance of the numeric values of this feature in the data set.
- setVariance(String) - Method in class com.google.api.services.prediction.model.Analyze.DataDescription.OutputFeature.Numeric
-
Variance of the output values in the data set.
