Developer Documentation
See Release Notes
Long Term Support Release
- Bug fixes for general core bugs in 4.1.x will end 13 November 2023 (12 months).
- Bug fixes for security issues in 4.1.x will end 10 November 2025 (36 months).
- PHP version: minimum PHP 7.4.0 Note: minimum PHP version has increased since Moodle 4.0. PHP 8.0.x is supported too.
Differences Between: [Versions 401 and 402] [Versions 401 and 403]
(no description)
| File Size: | 1228 lines (31 kb) |
| Included or required: | 0 times |
| Referenced: | 0 times |
| Includes or requires: | 0 files |
Defines 29 classes
Google_Service_Prediction:: (1 method):
__construct()
Google_Service_Prediction_Hostedmodels_Resource:: (1 method):
predict()
Google_Service_Prediction_Trainedmodels_Resource:: (7 methods):
analyze()
delete()
get()
insert()
listTrainedmodels()
predict()
update()
Google_Service_Prediction_Analyze:: (12 methods):
setDataDescription()
getDataDescription()
setErrors()
getErrors()
setId()
getId()
setKind()
getKind()
setModelDescription()
getModelDescription()
setSelfLink()
getSelfLink()
Google_Service_Prediction_AnalyzeDataDescription:: (4 methods):
setFeatures()
getFeatures()
setOutputFeature()
getOutputFeature()
Google_Service_Prediction_AnalyzeDataDescriptionFeatures:: (8 methods):
setCategorical()
getCategorical()
setIndex()
getIndex()
setNumeric()
getNumeric()
setText()
getText()
Google_Service_Prediction_AnalyzeDataDescriptionFeaturesCategorical:: (4 methods):
setCount()
getCount()
setValues()
getValues()
Google_Service_Prediction_AnalyzeDataDescriptionFeaturesCategoricalValues:: (4 methods):
setCount()
getCount()
setValue()
getValue()
Google_Service_Prediction_AnalyzeDataDescriptionFeaturesNumeric:: (6 methods):
setCount()
getCount()
setMean()
getMean()
setVariance()
getVariance()
Google_Service_Prediction_AnalyzeDataDescriptionFeaturesText:: (2 methods):
setCount()
getCount()
Google_Service_Prediction_AnalyzeDataDescriptionOutputFeature:: (4 methods):
setNumeric()
getNumeric()
setText()
getText()
Google_Service_Prediction_AnalyzeDataDescriptionOutputFeatureNumeric:: (6 methods):
setCount()
getCount()
setMean()
getMean()
setVariance()
getVariance()
Google_Service_Prediction_AnalyzeDataDescriptionOutputFeatureText:: (4 methods):
setCount()
getCount()
setValue()
getValue()
Google_Service_Prediction_AnalyzeErrors:: (0 methods):
Google_Service_Prediction_AnalyzeModelDescription:: (6 methods):
setConfusionMatrix()
getConfusionMatrix()
setConfusionMatrixRowTotals()
getConfusionMatrixRowTotals()
setModelinfo()
getModelinfo()
Google_Service_Prediction_AnalyzeModelDescriptionConfusionMatrix:: (0 methods):
Google_Service_Prediction_AnalyzeModelDescriptionConfusionMatrixElement:: (0 methods):
Google_Service_Prediction_AnalyzeModelDescriptionConfusionMatrixRowTotals:: (0 methods):
Google_Service_Prediction_Input:: (2 methods):
setInput()
getInput()
Google_Service_Prediction_InputInput:: (2 methods):
setCsvInstance()
getCsvInstance()
Google_Service_Prediction_Insert:: (16 methods):
setId()
getId()
setModelType()
getModelType()
setSourceModel()
getSourceModel()
setStorageDataLocation()
getStorageDataLocation()
setStoragePMMLLocation()
getStoragePMMLLocation()
setStoragePMMLModelLocation()
getStoragePMMLModelLocation()
setTrainingInstances()
getTrainingInstances()
setUtility()
getUtility()
Google_Service_Prediction_Insert2:: (22 methods):
setCreated()
getCreated()
setId()
getId()
setKind()
getKind()
setModelInfo()
getModelInfo()
setModelType()
getModelType()
setSelfLink()
getSelfLink()
setStorageDataLocation()
getStorageDataLocation()
setStoragePMMLLocation()
getStoragePMMLLocation()
setStoragePMMLModelLocation()
getStoragePMMLModelLocation()
setTrainingComplete()
getTrainingComplete()
setTrainingStatus()
getTrainingStatus()
Google_Service_Prediction_Insert2ModelInfo:: (12 methods):
setClassWeightedAccuracy()
getClassWeightedAccuracy()
setClassificationAccuracy()
getClassificationAccuracy()
setMeanSquaredError()
getMeanSquaredError()
setModelType()
getModelType()
setNumberInstances()
getNumberInstances()
setNumberLabels()
getNumberLabels()
Google_Service_Prediction_InsertTrainingInstances:: (4 methods):
setCsvInstance()
getCsvInstance()
setOutput()
getOutput()
Google_Service_Prediction_InsertUtility:: (0 methods):
Google_Service_Prediction_Output:: (12 methods):
setId()
getId()
setKind()
getKind()
setOutputLabel()
getOutputLabel()
setOutputMulti()
getOutputMulti()
setOutputValue()
getOutputValue()
setSelfLink()
getSelfLink()
Google_Service_Prediction_OutputOutputMulti:: (4 methods):
setLabel()
getLabel()
setScore()
getScore()
Google_Service_Prediction_PredictionList:: (8 methods):
setItems()
getItems()
setKind()
getKind()
setNextPageToken()
getNextPageToken()
setSelfLink()
getSelfLink()
Google_Service_Prediction_Update:: (4 methods):
setCsvInstance()
getCsvInstance()
setOutput()
getOutput()
Class: Google_Service_Prediction - X-Ref
Service definition for Prediction (v1.6).<p>
Lets you access a cloud hosted machine learning service that makes it easy to
build smart apps</p>
<p>
For more information about this service, see the API
<a href="https://developers.google.com/prediction/docs/developer-guide" target="_blank">Documentation</a>
</p>
| __construct(Google_Client $client) X-Ref |
| Constructs the internal representation of the Prediction service. param: Google_Client $client |
Class: Google_Service_Prediction_Hostedmodels_Resource - X-Ref
The "hostedmodels" collection of methods.Typical usage is:
<code>
$predictionService = new Google_Service_Prediction(...);
$hostedmodels = $predictionService->hostedmodels;
</code>
| predict($project, $hostedModelName, Google_Service_Prediction_Input $postBody, $optParams = array() X-Ref |
| Submit input and request an output against a hosted model. (hostedmodels.predict) param: string $project The project associated with the model. param: string $hostedModelName The name of a hosted model. param: Google_Input $postBody param: array $optParams Optional parameters. return: Google_Service_Prediction_Output |
Class: Google_Service_Prediction_Trainedmodels_Resource - X-Ref
The "trainedmodels" collection of methods.Typical usage is:
<code>
$predictionService = new Google_Service_Prediction(...);
$trainedmodels = $predictionService->trainedmodels;
</code>
| analyze($project, $id, $optParams = array() X-Ref |
| Get analysis of the model and the data the model was trained on. (trainedmodels.analyze) param: string $project The project associated with the model. param: string $id The unique name for the predictive model. param: array $optParams Optional parameters. return: Google_Service_Prediction_Analyze |
| delete($project, $id, $optParams = array() X-Ref |
| Delete a trained model. (trainedmodels.delete) param: string $project The project associated with the model. param: string $id The unique name for the predictive model. param: array $optParams Optional parameters. |
| get($project, $id, $optParams = array() X-Ref |
| Check training status of your model. (trainedmodels.get) param: string $project The project associated with the model. param: string $id The unique name for the predictive model. param: array $optParams Optional parameters. return: Google_Service_Prediction_Insert2 |
| insert($project, Google_Service_Prediction_Insert $postBody, $optParams = array() X-Ref |
| Train a Prediction API model. (trainedmodels.insert) param: string $project The project associated with the model. param: Google_Insert $postBody param: array $optParams Optional parameters. return: Google_Service_Prediction_Insert2 |
| listTrainedmodels($project, $optParams = array() X-Ref |
| List available models. (trainedmodels.listTrainedmodels) param: string $project The project associated with the model. param: array $optParams Optional parameters. return: Google_Service_Prediction_PredictionList |
| predict($project, $id, Google_Service_Prediction_Input $postBody, $optParams = array() X-Ref |
| Submit model id and request a prediction. (trainedmodels.predict) param: string $project The project associated with the model. param: string $id The unique name for the predictive model. param: Google_Input $postBody param: array $optParams Optional parameters. return: Google_Service_Prediction_Output |
| update($project, $id, Google_Service_Prediction_Update $postBody, $optParams = array() X-Ref |
| Add new data to a trained model. (trainedmodels.update) param: string $project The project associated with the model. param: string $id The unique name for the predictive model. param: Google_Update $postBody param: array $optParams Optional parameters. return: Google_Service_Prediction_Insert2 |
Class: Google_Service_Prediction_Analyze - X-Ref
| setDataDescription(Google_Service_Prediction_AnalyzeDataDescription $dataDescription) X-Ref |
| No description |
| getDataDescription() X-Ref |
| No description |
| setErrors($errors) X-Ref |
| No description |
| getErrors() X-Ref |
| No description |
| setId($id) X-Ref |
| No description |
| getId() X-Ref |
| No description |
| setKind($kind) X-Ref |
| No description |
| getKind() X-Ref |
| No description |
| setModelDescription(Google_Service_Prediction_AnalyzeModelDescription $modelDescription) X-Ref |
| No description |
| getModelDescription() X-Ref |
| No description |
| setSelfLink($selfLink) X-Ref |
| No description |
| getSelfLink() X-Ref |
| No description |
Class: Google_Service_Prediction_AnalyzeDataDescription - X-Ref
| setFeatures($features) X-Ref |
| No description |
| getFeatures() X-Ref |
| No description |
| setOutputFeature(Google_Service_Prediction_AnalyzeDataDescriptionOutputFeature $outputFeature) X-Ref |
| No description |
| getOutputFeature() X-Ref |
| No description |
Class: Google_Service_Prediction_AnalyzeDataDescriptionFeatures - X-Ref
| setCategorical(Google_Service_Prediction_AnalyzeDataDescriptionFeaturesCategorical $categorical) X-Ref |
| No description |
| getCategorical() X-Ref |
| No description |
| setIndex($index) X-Ref |
| No description |
| getIndex() X-Ref |
| No description |
| setNumeric(Google_Service_Prediction_AnalyzeDataDescriptionFeaturesNumeric $numeric) X-Ref |
| No description |
| getNumeric() X-Ref |
| No description |
| setText(Google_Service_Prediction_AnalyzeDataDescriptionFeaturesText $text) X-Ref |
| No description |
| getText() X-Ref |
| No description |
Class: Google_Service_Prediction_AnalyzeDataDescriptionOutputFeature - X-Ref
| setNumeric(Google_Service_Prediction_AnalyzeDataDescriptionOutputFeatureNumeric $numeric) X-Ref |
| No description |
| getNumeric() X-Ref |
| No description |
| setText($text) X-Ref |
| No description |
| getText() X-Ref |
| No description |
Class: Google_Service_Prediction_AnalyzeModelDescription - X-Ref
| setConfusionMatrix($confusionMatrix) X-Ref |
| No description |
| getConfusionMatrix() X-Ref |
| No description |
| setConfusionMatrixRowTotals($confusionMatrixRowTotals) X-Ref |
| No description |
| getConfusionMatrixRowTotals() X-Ref |
| No description |
| setModelinfo(Google_Service_Prediction_Insert2 $modelinfo) X-Ref |
| No description |
| getModelinfo() X-Ref |
| No description |
Class: Google_Service_Prediction_Input - X-Ref
Class: Google_Service_Prediction_Insert - X-Ref
| setId($id) X-Ref |
| No description |
| getId() X-Ref |
| No description |
| setModelType($modelType) X-Ref |
| No description |
| getModelType() X-Ref |
| No description |
| setSourceModel($sourceModel) X-Ref |
| No description |
| getSourceModel() X-Ref |
| No description |
| setStorageDataLocation($storageDataLocation) X-Ref |
| No description |
| getStorageDataLocation() X-Ref |
| No description |
| setStoragePMMLLocation($storagePMMLLocation) X-Ref |
| No description |
| getStoragePMMLLocation() X-Ref |
| No description |
| setStoragePMMLModelLocation($storagePMMLModelLocation) X-Ref |
| No description |
| getStoragePMMLModelLocation() X-Ref |
| No description |
| setTrainingInstances($trainingInstances) X-Ref |
| No description |
| getTrainingInstances() X-Ref |
| No description |
| setUtility($utility) X-Ref |
| No description |
| getUtility() X-Ref |
| No description |
Class: Google_Service_Prediction_Insert2 - X-Ref
| setCreated($created) X-Ref |
| No description |
| getCreated() X-Ref |
| No description |
| setId($id) X-Ref |
| No description |
| getId() X-Ref |
| No description |
| setKind($kind) X-Ref |
| No description |
| getKind() X-Ref |
| No description |
| setModelInfo(Google_Service_Prediction_Insert2ModelInfo $modelInfo) X-Ref |
| No description |
| getModelInfo() X-Ref |
| No description |
| setModelType($modelType) X-Ref |
| No description |
| getModelType() X-Ref |
| No description |
| setSelfLink($selfLink) X-Ref |
| No description |
| getSelfLink() X-Ref |
| No description |
| setStorageDataLocation($storageDataLocation) X-Ref |
| No description |
| getStorageDataLocation() X-Ref |
| No description |
| setStoragePMMLLocation($storagePMMLLocation) X-Ref |
| No description |
| getStoragePMMLLocation() X-Ref |
| No description |
| setStoragePMMLModelLocation($storagePMMLModelLocation) X-Ref |
| No description |
| getStoragePMMLModelLocation() X-Ref |
| No description |
| setTrainingComplete($trainingComplete) X-Ref |
| No description |
| getTrainingComplete() X-Ref |
| No description |
| setTrainingStatus($trainingStatus) X-Ref |
| No description |
| getTrainingStatus() X-Ref |
| No description |
Class: Google_Service_Prediction_Insert2ModelInfo - X-Ref
| setClassWeightedAccuracy($classWeightedAccuracy) X-Ref |
| No description |
| getClassWeightedAccuracy() X-Ref |
| No description |
| setClassificationAccuracy($classificationAccuracy) X-Ref |
| No description |
| getClassificationAccuracy() X-Ref |
| No description |
| setMeanSquaredError($meanSquaredError) X-Ref |
| No description |
| getMeanSquaredError() X-Ref |
| No description |
| setModelType($modelType) X-Ref |
| No description |
| getModelType() X-Ref |
| No description |
| setNumberInstances($numberInstances) X-Ref |
| No description |
| getNumberInstances() X-Ref |
| No description |
| setNumberLabels($numberLabels) X-Ref |
| No description |
| getNumberLabels() X-Ref |
| No description |
Class: Google_Service_Prediction_InsertTrainingInstances - X-Ref
| setCsvInstance($csvInstance) X-Ref |
| No description |
| getCsvInstance() X-Ref |
| No description |
| setOutput($output) X-Ref |
| No description |
| getOutput() X-Ref |
| No description |
Class: Google_Service_Prediction_Output - X-Ref
| setId($id) X-Ref |
| No description |
| getId() X-Ref |
| No description |
| setKind($kind) X-Ref |
| No description |
| getKind() X-Ref |
| No description |
| setOutputLabel($outputLabel) X-Ref |
| No description |
| getOutputLabel() X-Ref |
| No description |
| setOutputMulti($outputMulti) X-Ref |
| No description |
| getOutputMulti() X-Ref |
| No description |
| setOutputValue($outputValue) X-Ref |
| No description |
| getOutputValue() X-Ref |
| No description |
| setSelfLink($selfLink) X-Ref |
| No description |
| getSelfLink() X-Ref |
| No description |
Class: Google_Service_Prediction_PredictionList - X-Ref
| setItems($items) X-Ref |
| No description |
| getItems() X-Ref |
| No description |
| setKind($kind) X-Ref |
| No description |
| getKind() X-Ref |
| No description |
| setNextPageToken($nextPageToken) X-Ref |
| No description |
| getNextPageToken() X-Ref |
| No description |
| setSelfLink($selfLink) X-Ref |
| No description |
| getSelfLink() X-Ref |
| No description |
Class: Google_Service_Prediction_Update - X-Ref
| setCsvInstance($csvInstance) X-Ref |
| No description |
| getCsvInstance() X-Ref |
| No description |
| setOutput($output) X-Ref |
| No description |
| getOutput() X-Ref |
| No description |
