happygapi.bigquery.models — happygapi 0.4.9

BigQuery API: models. A data platform for customers to create, manage, share and query data. See: https://cloud.google.com/bigquery/api/reference/rest/v2/models

delete$ clj

(delete$ auth parameters)

https://cloud.google.com/bigquery/api/reference/rest/v2/models/delete

Required parameters: datasetId, modelId, projectId

Optional parameters: none

Deletes the model specified by modelId from the dataset.

get$ clj

(get$ auth parameters)

https://cloud.google.com/bigquery/api/reference/rest/v2/models/get

Required parameters: datasetId, modelId, projectId

Optional parameters: none

Gets the specified model resource by model ID.

list$ clj

(list$ auth parameters)

https://cloud.google.com/bigquery/api/reference/rest/v2/models/list

Required parameters: datasetId, projectId

Optional parameters: maxResults, pageToken

Lists all models in the specified dataset. Requires the READER dataset role. After retrieving the list of models, you can get information about a particular model by calling the models.get method.

patch$ clj

(patch$ auth parameters body)

https://cloud.google.com/bigquery/api/reference/rest/v2/models/patch

Required parameters: datasetId, modelId, projectId

Optional parameters: none

Body:

{:creationTime string, :description string, :labels {}, :modelType string, :transformColumns [{:name string, :transformSql string, :type StandardSqlDataType}], :expirationTime string, :bestTrialId string, :etag string, :optimalTrialIds [string], :lastModifiedTime string, :friendlyName string, :hparamSearchSpaces {:subsample DoubleHparamSearchSpace, :treeMethod StringHparamSearchSpace, :maxTreeDepth IntHparamSearchSpace, :minSplitLoss DoubleHparamSearchSpace, :dropout DoubleHparamSearchSpace, :hiddenUnits IntArrayHparamSearchSpace, :l1Reg DoubleHparamSearchSpace, :l2Reg DoubleHparamSearchSpace, :minTreeChildWeight IntHparamSearchSpace, :colsampleBylevel DoubleHparamSearchSpace, :numParallelTree IntHparamSearchSpace, :numClusters IntHparamSearchSpace, :learnRate DoubleHparamSearchSpace, :optimizer StringHparamSearchSpace, :colsampleBynode DoubleHparamSearchSpace, :dartNormalizeType StringHparamSearchSpace, :colsampleBytree DoubleHparamSearchSpace, :batchSize IntHparamSearchSpace, :boosterType StringHparamSearchSpace, :numFactors IntHparamSearchSpace, :activationFn StringHparamSearchSpace, :walsAlpha DoubleHparamSearchSpace}, :hparamTrials [{:evalLoss number, :errorMessage string, :trialId string, :evaluationMetrics EvaluationMetrics, :endTimeMs string, :status string, :hparams TrainingOptions, :startTimeMs string, :hparamTuningEvaluationMetrics EvaluationMetrics, :trainingLoss number}], :trainingRuns [{:vertexAiModelId string, :trainingOptions TrainingOptions, :trainingStartTime string, :classLevelGlobalExplanations [GlobalExplanation], :startTime string, :evaluationMetrics EvaluationMetrics, :modelLevelGlobalExplanation GlobalExplanation, :dataSplitResult DataSplitResult, :vertexAiModelVersion string, :results [IterationResult]}], :defaultTrialId string, :featureColumns [{:name string, :type StandardSqlDataType}], :labelColumns [{:name string, :type StandardSqlDataType}], :remoteModelInfo {:connection string, :endpoint string, :maxBatchingRows string, :remoteModelVersion string, :remoteServiceType string, :speechRecognizer string}, :location string, :encryptionConfiguration {:kmsKeyName string}, :modelReference {:datasetId string, :modelId string, :projectId string}}

Patch specific fields in the specified model.