API - Corsair

Every datarobot.api.* operation is listed below with parameter shapes and return types from the plugin Zod schemas.

New to Corsair? See API access, authentication, and error handling.

Batch Predictions

batchPredictionsCreate

batchPredictions.batchPredictionsCreate Creates a new Batch Prediction job Risk: write

await corsair.datarobot.api.batchPredictions.batchPredictionsCreate({});

Input: empty object Output: empty object

batchPredictionsDelete

batchPredictions.batchPredictionsDelete Cancel a Batch Prediction job by prediction job ID Risk: destructive · Irreversible

await corsair.datarobot.api.batchPredictions.batchPredictionsDelete({});

Input

Name	Type	Required	Description
`predictionJobId`	`string`	Yes	—
`partNumber`	`string`	Yes	—

Output: empty object

batchPredictionsFromExistingCreate

batchPredictions.batchPredictionsFromExistingCreate Create a new a Batch Prediction job based Risk: write

await corsair.datarobot.api.batchPredictions.batchPredictionsFromExistingCreate({});

Input: empty object Output: empty object

batchPredictionsFromJobDefinitionCreate

batchPredictions.batchPredictionsFromJobDefinitionCreate Launch a Batch Prediction job Risk: write

await corsair.datarobot.api.batchPredictions.batchPredictionsFromJobDefinitionCreate({});

Input: empty object Output: empty object

batchPredictionsList

batchPredictions.batchPredictionsList List batch prediction jobs Risk: read

await corsair.datarobot.api.batchPredictions.batchPredictionsList({});

Input

Name	Type	Required	Description
`offset`	`number`	No	—
`limit`	`number`	No	—
`status`	`string`	No	—
`source`	`string`	No	—
`deploymentId`	`string`	No	—
`modelId`	`string`	No	—
`jobId`	`string`	No	—
`orderBy`	`created \| -created \| status \| -status`	No	—
`allJobs`	`boolean`	No	—
`cutoffHours`	`number`	No	—
`startDateTime`	`string`	No	—
`endDateTime`	`string`	No	—
`batchPredictionJobDefinitionId`	`string`	No	—
`hostname`	`string`	No	—
`intakeType`	`string`	No	—
`outputType`	`string`	No	—

Output

Name	Type	Required	Description
`count`	`number`	No	—
`next`	`string`	No	—
`previous`	`string`	No	—
`data`	`any[]`	No	—

batchPredictionsRetrieve

batchPredictions.batchPredictionsRetrieve Retrieve Batch Prediction job by prediction job ID Risk: read

await corsair.datarobot.api.batchPredictions.batchPredictionsRetrieve({});

Input

Name	Type	Required	Description
`predictionJobId`	`string`	Yes	—
`partNumber`	`string`	Yes	—

Output: empty object

Catalog Items

catalogItemsList

catalogItems.catalogItemsList List all catalog items accessible by the user. Risk: read

await corsair.datarobot.api.catalogItems.catalogItemsList({});

Input

Name	Type	Required	Description
`offset`	`number`	No	—
`limit`	`number`	No	—
`initialCacheSize`	`number`	No	—
`useCache`	`false \| False \| true \| True`	No	—
`orderBy`	`originalName \| -originalName \| catalogName \| -catalogName \| description \| -description \| created \| -created \| relevance \| -relevance`	No	—
`searchFor`	`string`	No	—
`tag`	`string`	No	—
`accessType`	`owner \| shared \| any \| created`	No	—
`datasourceType`	`string`	No	—
`category`	`string`	No	—
`filterFailed`	`false \| False \| true \| True`	No	—
`ownerUserId`	`string`	No	—
`ownerUsername`	`string`	No	—
`type`	`dataset \| snapshot_dataset \| remote_dataset \| user_blueprint \| files`	No	—
`isUxrPreviewable`	`boolean`	No	—

Output

Name	Type	Required	Description
`count`	`number`	No	—
`next`	`string`	No	—
`previous`	`string`	No	—
`data`	`any[]`	No	—

catalogItemsRetrieve

catalogItems.catalogItemsRetrieve Retrieves latest version information, by ID by catalog ID Risk: read

await corsair.datarobot.api.catalogItems.catalogItemsRetrieve({});

Input

Name	Type	Required	Description
`catalogId`	`string`	Yes	—

Output: empty object

Credentials

credentialsCreate

credentials.credentialsCreate Store a new set of credentials which can be used Risk: write

await corsair.datarobot.api.credentials.credentialsCreate({});

Input: empty object Output: empty object

credentialsDelete

credentials.credentialsDelete Delete the credentials set by credential ID Risk: destructive · Irreversible

await corsair.datarobot.api.credentials.credentialsDelete({});

Input

Name	Type	Required	Description
`credentialId`	`string`	Yes	—

Output: empty object

credentialsList

credentials.credentialsList List credentials. Risk: read

await corsair.datarobot.api.credentials.credentialsList({});

Input

Name	Type	Required	Description
`offset`	`number`	No	—
`limit`	`number`	No	—
`types`	`string`	No	—
`orderBy`	`creationDate \| -creationDate`	No	—

Output

Name	Type	Required	Description
`count`	`number`	No	—
`next`	`string`	No	—
`previous`	`string`	No	—
`data`	`any[]`	No	—

credentialsRetrieve

credentials.credentialsRetrieve Retrieve the credentials set by credential ID Risk: read

await corsair.datarobot.api.credentials.credentialsRetrieve({});

Input

Name	Type	Required	Description
`credentialId`	`string`	Yes	—

Output: empty object

Custom Models

customModelsCreate

customModels.customModelsCreate Create custom model. Risk: write

await corsair.datarobot.api.customModels.customModelsCreate({});

Input: empty object Output: empty object

customModelsDelete

customModels.customModelsDelete Delete custom model by custom model ID Risk: destructive · Irreversible

await corsair.datarobot.api.customModels.customModelsDelete({});

Input

Name	Type	Required	Description
`customModelId`	`string`	Yes	—

Output: empty object

customModelsList

customModels.customModelsList List custom models. Risk: read

await corsair.datarobot.api.customModels.customModelsList({});

Input

Name	Type	Required	Description
`offset`	`number`	No	—
`limit`	`number`	No	—
`customModelType`	`training \| inference`	No	—
`targetType`	`Binary \| Regression \| Multiclass \| Anomaly \| Transform \| TextGeneration \| GeoPoint \| Unstructured \| VectorDatabase \| AgenticWorkflow \| MCP \| Multilabel`	No	—
`isDeployed`	`false \| False \| true \| True`	No	—
`orderBy`	`created \| -created \| updated \| -updated`	No	—
`searchFor`	`string`	No	—
`tagKeys`	`string`	No	—
`tagValues`	`string`	No	—

Output

Name	Type	Required	Description
`count`	`number`	No	—
`next`	`string`	No	—
`previous`	`string`	No	—
`data`	`any[]`	No	—

customModelsRetrieve

customModels.customModelsRetrieve Get custom model by custom model ID Risk: read

await corsair.datarobot.api.customModels.customModelsRetrieve({});

Input

Name	Type	Required	Description
`customModelId`	`string`	Yes	—

Output: empty object

customModelsVersionsCreate

customModels.customModelsVersionsCreate Create custom model version by custom model ID Risk: write

await corsair.datarobot.api.customModels.customModelsVersionsCreate({});

Input

Name	Type	Required	Description
`customModelId`	`string`	Yes	—

Output: empty object

customModelsVersionsList

customModels.customModelsVersionsList List custom model versions by custom model ID Risk: read

await corsair.datarobot.api.customModels.customModelsVersionsList({});

Input

Name	Type	Required	Description
`customModelId`	`string`	Yes	—
`offset`	`number`	No	—
`limit`	`number`	No	—
`mainBranchCommitSha`	`string`	No	—

Output: empty object

Datasets

datasetsAllFeaturesDetailsList

datasets.datasetsAllFeaturesDetailsList Get dataset features by dataset ID Risk: read

await corsair.datarobot.api.datasets.datasetsAllFeaturesDetailsList({});

Input

Name	Type	Required	Description
`datasetId`	`string`	Yes	—
`limit`	`number`	No	—
`offset`	`number`	No	—
`orderBy`	`featureType \| name \| id \| unique \| missing \| stddev \| mean \| median \| min \| max \| dataQualityIssues \| -featureType \| -name \| -id \| -unique \| -missing \| -stddev \| -mean \| -median \| -min \| -max \| -dataQualityIssues`	No	—
`includePlot`	`false \| False \| true \| True`	No	—
`searchFor`	`string`	No	—
`featurelistId`	`string`	No	—
`includeDataQuality`	`false \| False \| true \| True`	No	—

Output: empty object

datasetsDelete

datasets.datasetsDelete Delete dataset by dataset ID Risk: destructive · Irreversible

await corsair.datarobot.api.datasets.datasetsDelete({});

Input

Name	Type	Required	Description
`datasetId`	`string`	Yes	—

Output: empty object

datasetsFeaturelistsList

datasets.datasetsFeaturelistsList Retrieve dataset featurelists by dataset ID Risk: read

await corsair.datarobot.api.datasets.datasetsFeaturelistsList({});

Input

Name	Type	Required	Description
`datasetId`	`string`	Yes	—
`limit`	`number`	No	—
`offset`	`number`	No	—
`orderBy`	`name \| description \| featuresNumber \| creationDate \| userCreated \| -name \| -description \| -featuresNumber \| -creationDate \| -userCreated`	No	—
`searchFor`	`string`	No	—

Output: empty object

datasetsFileList

datasets.datasetsFileList Retrieve original dataset data by dataset ID Risk: read

await corsair.datarobot.api.datasets.datasetsFileList({});

Input

Name	Type	Required	Description
`datasetId`	`string`	Yes	—

Output: empty object

datasetsFromDataSourceCreate

datasets.datasetsFromDataSourceCreate Create a dataset from a data source Risk: write

await corsair.datarobot.api.datasets.datasetsFromDataSourceCreate({});

Input: empty object Output: empty object

datasetsFromFileCreate

datasets.datasetsFromFileCreate Create a dataset from a file Risk: write

await corsair.datarobot.api.datasets.datasetsFromFileCreate({});

Input: empty object Output: empty object

datasetsFromURLCreate

datasets.datasetsFromURLCreate Create a dataset from an URL Risk: write

await corsair.datarobot.api.datasets.datasetsFromURLCreate({});

Input: empty object Output: empty object

datasetsList

datasets.datasetsList List datasets Risk: read

await corsair.datarobot.api.datasets.datasetsList({});

Input

Name	Type	Required	Description
`category`	`TRAINING \| PREDICTION \| SAMPLE`	No	—
`orderBy`	`created \| -created`	No	—
`limit`	`number`	No	—
`offset`	`number`	No	—
`filterFailed`	`false \| False \| true \| True`	No	—
`datasetVersionIds`	`string`	No	—
`useCaseIds`	`string`	No	—
`vectorDatabaseEligibleOnly`	`false \| False \| true \| True`	No	—
`vectorDatabaseMetadataEligibleOnly`	`false \| False \| true \| True`	No	—
`isDeleted`	`false \| False \| true \| True`	No	—

Output

Name	Type	Required	Description
`count`	`number`	No	—
`next`	`string`	No	—
`previous`	`string`	No	—
`data`	`any[]`	No	—

datasetsPatch

datasets.datasetsPatch Modify dataset by dataset ID Risk: write

await corsair.datarobot.api.datasets.datasetsPatch({});

Input

Name	Type	Required	Description
`datasetId`	`string`	Yes	—

Output: empty object

datasetsProjectsList

datasets.datasetsProjectsList Get dataset projects by dataset ID Risk: read

await corsair.datarobot.api.datasets.datasetsProjectsList({});

Input

Name	Type	Required	Description
`datasetId`	`string`	Yes	—
`limit`	`number`	No	—
`offset`	`number`	No	—

Output: empty object

datasetsRetrieve

datasets.datasetsRetrieve Get dataset details by dataset ID Risk: read

await corsair.datarobot.api.datasets.datasetsRetrieve({});

Input

Name	Type	Required	Description
`datasetId`	`string`	Yes	—

Output: empty object

datasetsVersionsDelete

datasets.datasetsVersionsDelete Delete dataset version by dataset ID Risk: destructive · Irreversible

await corsair.datarobot.api.datasets.datasetsVersionsDelete({});

Input

Name	Type	Required	Description
`datasetId`	`string`	Yes	—
`datasetVersionId`	`string`	Yes	—

Output: empty object

datasetsVersionsFromFileCreate

datasets.datasetsVersionsFromFileCreate Create a version from a file Risk: write

await corsair.datarobot.api.datasets.datasetsVersionsFromFileCreate({});

Input

Name	Type	Required	Description
`datasetId`	`string`	Yes	—

Output: empty object

datasetsVersionsFromURLCreate

datasets.datasetsVersionsFromURLCreate Create a version from an URL Risk: write

await corsair.datarobot.api.datasets.datasetsVersionsFromURLCreate({});

Input

Name	Type	Required	Description
`datasetId`	`string`	Yes	—

Output: empty object

datasetsVersionsList

datasets.datasetsVersionsList List dataset versions by dataset ID Risk: read

await corsair.datarobot.api.datasets.datasetsVersionsList({});

Input

Name	Type	Required	Description
`datasetId`	`string`	Yes	—
`category`	`TRAINING \| PREDICTION \| SAMPLE`	No	—
`orderBy`	`created \| -created`	No	—
`limit`	`number`	No	—
`offset`	`number`	No	—
`filterFailed`	`false \| False \| true \| True`	No	—

Output: empty object

datasetsVersionsRetrieve

datasets.datasetsVersionsRetrieve Get dataset details by version by dataset ID Risk: read

await corsair.datarobot.api.datasets.datasetsVersionsRetrieve({});

Input

Name	Type	Required	Description
`datasetId`	`string`	Yes	—
`datasetVersionId`	`string`	Yes	—

Output: empty object

Deployments

deploymentsAccuracyList

deployments.deploymentsAccuracyList Retrieve accuracy metric by deployment ID Risk: read

await corsair.datarobot.api.deployments.deploymentsAccuracyList({});

Input

Name	Type	Required	Description
`deploymentId`	`string`	Yes	—
`start`	`string`	No	—
`end`	`string`	No	—
`modelId`	`string`	No	—
`batchId`	`string`	No	—
`segmentAttribute`	`string`	No	—
`segmentValue`	`string`	No	—
`targetClass`	`string`	No	—
`metric`	`AUC \| Accuracy \| Balanced Accuracy \| F1 \| FPR \| FVE Binomial \| FVE Gamma \| FVE Multinomial \| FVE Poisson \| FVE Tweedie \| Gamma Deviance \| Gini Norm \| Kolmogorov-Smirnov \| LogLoss \| MAE \| MAPE \| MCC \| NPV \| PPV \| Poisson Deviance \| R Squared \| RMSE \| RMSLE \| Rate@Top10% \| Rate@Top5% \| TNR \| TPR \| Tweedie Deviance \| WGS84 MAE \| WGS84 RMSE`	No	—
`baselineModelId`	`string`	No	—

Output: empty object

deploymentsAccuracyOverTimeList

deployments.deploymentsAccuracyOverTimeList Retrieve accuracy over time by deployment ID Risk: read

await corsair.datarobot.api.deployments.deploymentsAccuracyOverTimeList({});

Input

Name	Type	Required	Description
`deploymentId`	`string`	Yes	—
`start`	`string`	No	—
`end`	`string`	No	—
`bucketSize`	`string`	No	—
`modelId`	`string`	No	—
`metric`	`AUC \| Accuracy \| Balanced Accuracy \| F1 \| FPR \| FVE Binomial \| FVE Gamma \| FVE Multinomial \| FVE Poisson \| FVE Tweedie \| Gamma Deviance \| Gini Norm \| Kolmogorov-Smirnov \| LogLoss \| MAD \| MAE \| MAPE \| MCC \| NPV \| PPV \| Poisson Deviance \| R Squared \| RMSE \| RMSLE \| Rate@Top10% \| Rate@Top5% \| TNR \| TPR \| Tweedie Deviance \| WGS84 MAE \| WGS84 RMSE`	No	—
`segmentAttribute`	`string`	No	—
`segmentValue`	`string`	No	—
`targetClass`	`string`	No	—

Output: empty object

deploymentsCapabilitiesList

deployments.deploymentsCapabilitiesList Retrieve capabilities by deployment ID Risk: read

await corsair.datarobot.api.deployments.deploymentsCapabilitiesList({});

Input

Name	Type	Required	Description
`deploymentId`	`string`	Yes	—

Output: empty object

deploymentsDelete

deployments.deploymentsDelete Delete deployment by deployment ID Risk: destructive · Irreversible

await corsair.datarobot.api.deployments.deploymentsDelete({});

Input

Name	Type	Required	Description
`deploymentId`	`string`	Yes	—
`ignoreManagementAgent`	`false \| False \| true \| True`	No	—

Output: empty object

deploymentsFeaturesList

deployments.deploymentsFeaturesList Get deployment features by deployment ID Risk: read

await corsair.datarobot.api.deployments.deploymentsFeaturesList({});

Input

Name	Type	Required	Description
`deploymentId`	`string`	Yes	—
`offset`	`number`	No	—
`limit`	`number`	No	—
`includeNonPredictionFeatures`	`false \| False \| true \| True`	No	—
`forSegmentedAnalysis`	`false \| False \| true \| True`	No	—
`search`	`string`	No	—
`orderBy`	`name \| -name \| importance \| -importance`	No	—

Output: empty object

deploymentsFromLearningModelCreate

deployments.deploymentsFromLearningModelCreate Create deployment Risk: write

await corsair.datarobot.api.deployments.deploymentsFromLearningModelCreate({});

Input: empty object Output: empty object

deploymentsFromModelPackageCreate

deployments.deploymentsFromModelPackageCreate Create a deployment from a model package Risk: write

await corsair.datarobot.api.deployments.deploymentsFromModelPackageCreate({});

Input: empty object Output: empty object

deploymentsList

deployments.deploymentsList List deployments Risk: read

await corsair.datarobot.api.deployments.deploymentsList({});

Input

Name	Type	Required	Description
`offset`	`number`	No	—
`limit`	`number`	No	—
`orderBy`	label \| -label \| serviceHealth \| -serviceHealth \| modelHealth \| -modelHealth \| accuracyHealth \| -accuracyHealth \| recentPredictions \| -recentPredictions \| lastPredictionTimestamp \| -lastPredictionTimestamp \| currentModelDeployedTimestamp \| -currentModelDeployedTimestamp \| createdAtTimestamp \| -createdAtTimestamp \| importance \| -importance \| fairnessHealth \| -fairnessHealth \| customMetricsHealth \| -customMetricsHealth \| actualsTimelinessHealth \| -actualsTimelinessHealth \| predictionsTimelinessHealth \| -predictionsTimelinessHealth	No	—
`search`	`string`	No	—
`serviceHealth`	`(string \| number)[]`	No	—
`modelHealth`	`(string \| number)[]`	No	—
`accuracyHealth`	`(string \| number)[]`	No	—
`role`	`OWNER \| USER`	No	—
`status`	`(string \| number)[]`	No	—
`importance`	`(string \| number)[]`	No	—
`lastPredictionTimestampStart`	`string`	No	—
`lastPredictionTimestampEnd`	`string`	No	—
`predictionUsageDailyAvgGreaterThan`	`number`	No	—
`predictionUsageDailyAvgLessThan`	`number`	No	—
`defaultPredictionServerId`	`(string \| number)[]`	No	—
`buildEnvironmentType`	`(string \| number)[]`	No	—
`executionEnvironmentType`	`(string \| number)[]`	No	—
`predictionEnvironmentPlatform`	`(string \| number)[]`	No	—
`createdByMe`	`false \| False \| true \| True`	No	—
`createdBy`	`string`	No	—
`championModelExecutionType`	`custom_inference_model \| external \| dedicated`	No	—
`championModelTargetType`	`string`	No	—
`tagKeys`	`string`	No	—
`tagValues`	`string`	No	—
`isA2AAgent`	`false \| False \| true \| True`	No	—
`predictionEnvironmentTagKeys`	`string`	No	—
`predictionEnvironmentTagValues`	`string`	No	—

Output

Name	Type	Required	Description
`count`	`number`	No	—
`next`	`string`	No	—
`previous`	`string`	No	—
`data`	`any[]`	No	—

deploymentsModelHistoryList

deployments.deploymentsModelHistoryList Retrieve champion model history of deployment by deployment ID Risk: read

await corsair.datarobot.api.deployments.deploymentsModelHistoryList({});

Input

Name	Type	Required	Description
`deploymentId`	`string`	Yes	—
`offset`	`number`	No	—
`limit`	`number`	No	—

Output: empty object

deploymentsModelPatchMany

deployments.deploymentsModelPatchMany Model Replacement by deployment ID Risk: write

await corsair.datarobot.api.deployments.deploymentsModelPatchMany({});

Input

Name	Type	Required	Description
`deploymentId`	`string`	Yes	—

Output: empty object

deploymentsPatch

deployments.deploymentsPatch Update deployment by deployment ID Risk: write

await corsair.datarobot.api.deployments.deploymentsPatch({});

Input

Name	Type	Required	Description
`deploymentId`	`string`	Yes	—

Output: empty object

deploymentsPredictionsOverTimeList

deployments.deploymentsPredictionsOverTimeList Retrieve metrics about predictions over time by deployment ID Risk: read

await corsair.datarobot.api.deployments.deploymentsPredictionsOverTimeList({});

Input

Name	Type	Required	Description
`deploymentId`	`string`	Yes	—
`start`	`string`	No	—
`end`	`string`	No	—
`bucketSize`	`PT1H \| P1D \| P7D \| P1M`	No	—
`segmentAttribute`	`string`	No	—
`segmentValue`	`string`	No	—
`modelId`	`string`	No	—
`targetClass`	`string`	No	—
`includePercentiles`	`false \| False \| true \| True`	No	—

Output: empty object

deploymentsRetrieve

deployments.deploymentsRetrieve Retrieve deployment by deployment ID Risk: read

await corsair.datarobot.api.deployments.deploymentsRetrieve({});

Input

Name	Type	Required	Description
`deploymentId`	`string`	Yes	—

Output: empty object

deploymentsServiceStatsList

deployments.deploymentsServiceStatsList Retrieve service stats by ID Risk: read

await corsair.datarobot.api.deployments.deploymentsServiceStatsList({});

Input

Name	Type	Required	Description
`deploymentId`	`string`	Yes	—
`start`	`string`	No	—
`end`	`string`	No	—
`executionTimeQuantile`	`number`	No	—
`responseTimeQuantile`	`number`	No	—
`slowRequestsThreshold`	`number`	No	—
`segmentAttribute`	`DataRobot-Consumer \| DataRobot-Remote-IP \| DataRobot-Host-IP`	No	—
`segmentValue`	`string`	No	—
`modelId`	`string`	No	—

Output: empty object

deploymentsSettingsList

deployments.deploymentsSettingsList Retrieve deployment settings by deployment ID Risk: read

await corsair.datarobot.api.deployments.deploymentsSettingsList({});

Input

Name	Type	Required	Description
`deploymentId`	`string`	Yes	—

Output: empty object

deploymentsSettingsPatchMany

deployments.deploymentsSettingsPatchMany Update deployment settings by deployment ID Risk: write

await corsair.datarobot.api.deployments.deploymentsSettingsPatchMany({});

Input

Name	Type	Required	Description
`deploymentId`	`string`	Yes	—

Output: empty object

deploymentsSharedRolesList

deployments.deploymentsSharedRolesList Get the model deployment access control list by deployment ID Risk: read

await corsair.datarobot.api.deployments.deploymentsSharedRolesList({});

Input

Name	Type	Required	Description
`deploymentId`	`string`	Yes	—
`id`	`string`	No	—
`offset`	`number`	No	—
`limit`	`number`	No	—
`name`	`string`	No	—
`shareRecipientType`	`user \| group \| organization \| externalApplication`	No	—

Output: empty object

Model Packages

modelPackagesFeaturesList

modelPackages.modelPackagesFeaturesList Retrieve feature list by model package ID Risk: read

await corsair.datarobot.api.modelPackages.modelPackagesFeaturesList({});

Input

Name	Type	Required	Description
`modelPackageId`	`string`	Yes	—
`offset`	`number`	No	—
`limit`	`number`	No	—
`includeNonPredictionFeatures`	`false \| False \| true \| True`	No	—
`forSegmentedAnalysis`	`false \| False \| true \| True`	No	—
`search`	`string`	No	—
`orderBy`	`name \| importance \| -name \| -importance`	No	—

Output: empty object

modelPackagesFromLeaderboardCreate

modelPackages.modelPackagesFromLeaderboardCreate Create model package Risk: write

await corsair.datarobot.api.modelPackages.modelPackagesFromLeaderboardCreate({});

Input: empty object Output: empty object

modelPackagesList

modelPackages.modelPackagesList List model packages Risk: read

await corsair.datarobot.api.modelPackages.modelPackagesList({});

Input

Name	Type	Required	Description
`offset`	`number`	No	—
`limit`	`number`	No	—
`modelId`	`string`	No	—
`similarTo`	`string`	No	—
`forChallenger`	`boolean`	No	—
`search`	`string`	No	—
`predictionThreshold`	`number`	No	—
`imported`	`boolean`	No	—
`predictionEnvironmentId`	`string`	No	—
`modelKind`	`string`	No	—
`buildStatus`	`inProgress \| complete \| failed`	No	—

Output

Name	Type	Required	Description
`count`	`number`	No	—
`next`	`string`	No	—
`previous`	`string`	No	—
`data`	`any[]`	No	—

modelPackagesRetrieve

modelPackages.modelPackagesRetrieve Retrieve info about a model package by model package ID Risk: read

await corsair.datarobot.api.modelPackages.modelPackagesRetrieve({});

Input

Name	Type	Required	Description
`modelPackageId`	`string`	Yes	—

Output: empty object

Prediction Servers

predictionServersList

predictionServers.predictionServersList List prediction servers. Risk: read

await corsair.datarobot.api.predictionServers.predictionServersList({});

Input

Name	Type	Required	Description
`offset`	`number`	No	—
`limit`	`number`	No	—

Output

Name	Type	Required	Description
`count`	`number`	No	—
`next`	`string`	No	—
`previous`	`string`	No	—
`data`	`any[]`	No	—

Projects

configureAndStartAutopilot

projects.configureAndStartAutopilot Start modeling by project ID Risk: write

await corsair.datarobot.api.projects.configureAndStartAutopilot({});

Input

Name	Type	Required	Description
`projectId`	`string`	Yes	—

Output: empty object

projectsAccessControlList

projects.projectsAccessControlList Get the project access control list by project ID Risk: read

await corsair.datarobot.api.projects.projectsAccessControlList({});

Input

Name	Type	Required	Description
`projectId`	`string`	Yes	—
`offset`	`number`	No	—
`limit`	`number`	No	—
`username`	`string`	No	—
`userId`	`string`	No	—

Output: empty object

projectsAutopilotCreate

projects.projectsAutopilotCreate Pause by project ID Risk: write

await corsair.datarobot.api.projects.projectsAutopilotCreate({});

Input

Name	Type	Required	Description
`projectId`	`string`	Yes	—

Output: empty object

projectsAutopilotsCreate

projects.projectsAutopilotsCreate Start autopilot by project ID Risk: write

await corsair.datarobot.api.projects.projectsAutopilotsCreate({});

Input

Name	Type	Required	Description
`projectId`	`string`	Yes	—

Output: empty object

projectsBlueprintsList

projects.projectsBlueprintsList List blueprints by project ID Risk: read

await corsair.datarobot.api.projects.projectsBlueprintsList({});

Input

Name	Type	Required	Description
`projectId`	`string`	Yes	—

Output: empty object

projectsBlueprintsRetrieve

projects.projectsBlueprintsRetrieve Retrieve a blueprint by its ID. Risk: read

await corsair.datarobot.api.projects.projectsBlueprintsRetrieve({});

Input

Name	Type	Required	Description
`projectId`	`string`	Yes	—
`blueprintId`	`string`	Yes	—

Output: empty object

projectsCreate

projects.projectsCreate Create a project. Risk: write

await corsair.datarobot.api.projects.projectsCreate({});

Input: empty object Output: empty object

projectsDatetimeModelsList

projects.projectsDatetimeModelsList List datetime partitioned project models by project ID Risk: read

await corsair.datarobot.api.projects.projectsDatetimeModelsList({});

Input

Name	Type	Required	Description
`projectId`	`string`	Yes	—
`offset`	`number`	No	—
`limit`	`number`	No	—
`bulkOperationId`	`string`	No	—

Output: empty object

projectsDelete

projects.projectsDelete Delete a project by project ID Risk: destructive · Irreversible

await corsair.datarobot.api.projects.projectsDelete({});

Input

Name	Type	Required	Description
`projectId`	`string`	Yes	—

Output: empty object

projectsDeploymentReadyModelsCreate

projects.projectsDeploymentReadyModelsCreate Prepare a model by project ID Risk: write

await corsair.datarobot.api.projects.projectsDeploymentReadyModelsCreate({});

Input

Name	Type	Required	Description
`projectId`	`string`	Yes	—

Output: empty object

projectsFeaturelistsCreate

projects.projectsFeaturelistsCreate Create a new featurelist by project ID Risk: write

await corsair.datarobot.api.projects.projectsFeaturelistsCreate({});

Input

Name	Type	Required	Description
`projectId`	`string`	Yes	—

Output: empty object

projectsFeaturelistsDelete

projects.projectsFeaturelistsDelete Delete a specified featurelist by project ID Risk: destructive · Irreversible

await corsair.datarobot.api.projects.projectsFeaturelistsDelete({});

Input

Name	Type	Required	Description
`projectId`	`string`	Yes	—
`featurelistId`	`string`	Yes	—
`dryRun`	`false \| False \| true \| True`	No	—
`deleteDependencies`	`false \| False \| true \| True`	No	—

Output: empty object

projectsFeaturelistsList

projects.projectsFeaturelistsList List featurelists by project ID Risk: read

await corsair.datarobot.api.projects.projectsFeaturelistsList({});

Input

Name	Type	Required	Description
`projectId`	`string`	Yes	—
`sortBy`	`name \| description \| features \| numModels \| created \| isUserCreated \| -name \| -description \| -features \| -numModels \| -created \| -isUserCreated`	No	—
`searchFor`	`string`	No	—

Output: empty object

projectsFeaturelistsPatch

projects.projectsFeaturelistsPatch Update an existing featurelist by project ID Risk: write

await corsair.datarobot.api.projects.projectsFeaturelistsPatch({});

Input

Name	Type	Required	Description
`projectId`	`string`	Yes	—
`featurelistId`	`string`	Yes	—

Output: empty object

projectsFeaturelistsRetrieve

projects.projectsFeaturelistsRetrieve Retrieve a feature list by project ID Risk: read

await corsair.datarobot.api.projects.projectsFeaturelistsRetrieve({});

Input

Name	Type	Required	Description
`projectId`	`string`	Yes	—
`featurelistId`	`string`	Yes	—

Output: empty object

projectsFeaturesList

projects.projectsFeaturesList List project features by project ID Risk: read

await corsair.datarobot.api.projects.projectsFeaturesList({});

Input

Name	Type	Required	Description
`projectId`	`string`	Yes	—
`sortBy`	`name \| id \| importance \| featureType \| uniqueCount \| naCount \| mean \| stdDev \| median \| min \| max \| -name \| -id \| -importance \| -featureType \| -uniqueCount \| -naCount \| -mean \| -stdDev \| -median \| -min \| -max`	No	—
`searchFor`	`string`	No	—
`featurelistId`	`string`	No	—
`forSegmentedAnalysis`	`false \| False \| true \| True`	No	—

Output: empty object

projectsFeaturesRetrieve

projects.projectsFeaturesRetrieve Get a project feature by project ID Risk: read

await corsair.datarobot.api.projects.projectsFeaturesRetrieve({});

Input

Name	Type	Required	Description
`projectId`	`string`	Yes	—
`featureName`	`string`	Yes	—

Output: empty object

projectsJobsDelete

projects.projectsJobsDelete Cancel a job by project ID Risk: destructive · Irreversible

await corsair.datarobot.api.projects.projectsJobsDelete({});

Input

Name	Type	Required	Description
`projectId`	`string`	Yes	—
`jobId`	`string`	Yes	—

Output: empty object

projectsJobsList

projects.projectsJobsList List project jobs by project ID Risk: read

await corsair.datarobot.api.projects.projectsJobsList({});

Input

Name	Type	Required	Description
`projectId`	`string`	Yes	—
`status`	`queue \| inprogress \| error`	No	—

Output: empty object

projectsJobsRetrieve

projects.projectsJobsRetrieve Get a job by project ID Risk: read

await corsair.datarobot.api.projects.projectsJobsRetrieve({});

Input

Name	Type	Required	Description
`projectId`	`string`	Yes	—
`jobId`	`string`	Yes	—

Output: empty object

projectsList

projects.projectsList List projects. Risk: read

await corsair.datarobot.api.projects.projectsList({});

Input

Name	Type	Required	Description
`projectName`	`string`	No	—
`projectId`	`string`	No	—
`orderBy`	`projectName \| -projectName`	No	—
`featureDiscovery`	`false \| False \| true \| True`	No	—
`offset`	`number`	No	—
`limit`	`number`	No	—

Output

Name	Type	Required	Description
`count`	`number`	No	—
`next`	`string`	No	—
`previous`	`string`	No	—
`data`	`any[]`	No	—

projectsModelingFeaturelistsCreate

projects.projectsModelingFeaturelistsCreate Create a new modeling featurelist by project ID Risk: write

await corsair.datarobot.api.projects.projectsModelingFeaturelistsCreate({});

Input

Name	Type	Required	Description
`projectId`	`string`	Yes	—

Output: empty object

projectsModelingFeaturelistsList

projects.projectsModelingFeaturelistsList List all modeling featurelists by project ID Risk: read

await corsair.datarobot.api.projects.projectsModelingFeaturelistsList({});

Input

Name	Type	Required	Description
`projectId`	`string`	Yes	—
`sortBy`	`name \| description \| features \| numModels \| created \| isUserCreated \| -name \| -description \| -features \| -numModels \| -created \| -isUserCreated`	No	—
`searchFor`	`string`	No	—
`offset`	`number`	No	—
`limit`	`number`	No	—

Output: empty object

projectsModelsCreate

projects.projectsModelsCreate Train a new model by project ID Risk: write

await corsair.datarobot.api.projects.projectsModelsCreate({});

Input

Name	Type	Required	Description
`projectId`	`string`	Yes	—

Output: empty object

projectsModelsDelete

projects.projectsModelsDelete Delete a model by project ID Risk: destructive · Irreversible

await corsair.datarobot.api.projects.projectsModelsDelete({});

Input

Name	Type	Required	Description
`projectId`	`string`	Yes	—
`modelId`	`string`	Yes	—

Output: empty object

projectsModelsFromModelCreate

projects.projectsModelsFromModelCreate Retrain a model by project ID Risk: write

await corsair.datarobot.api.projects.projectsModelsFromModelCreate({});

Input

Name	Type	Required	Description
`projectId`	`string`	Yes	—

Output: empty object

projectsModelsList

projects.projectsModelsList List project models by project ID Risk: read

await corsair.datarobot.api.projects.projectsModelsList({});

Input

Name	Type	Required	Description
`projectId`	`string`	Yes	—
`withMetric`	`string`	No	—
`showInSampleScores`	`boolean`	No	—
`name`	`string`	No	—
`samplePct`	`number`	No	—
`isStarred`	`false \| False \| true \| True`	No	—
`orderBy`	`metric \| -metric \| samplePct \| -samplePct`	No	—

Output: empty object

projectsModelsRetrieve

projects.projectsModelsRetrieve Get model by project ID Risk: read

await corsair.datarobot.api.projects.projectsModelsRetrieve({});

Input

Name	Type	Required	Description
`projectId`	`string`	Yes	—
`modelId`	`string`	Yes	—

Output: empty object

projectsPatch

projects.projectsPatch Update a project by project ID Risk: write

await corsair.datarobot.api.projects.projectsPatch({});

Input

Name	Type	Required	Description
`projectId`	`string`	Yes	—

Output: empty object

projectsPredictionDatasetsDelete

projects.projectsPredictionDatasetsDelete Delete a dataset that was uploaded by project ID Risk: destructive · Irreversible

await corsair.datarobot.api.projects.projectsPredictionDatasetsDelete({});

Input

Name	Type	Required	Description
`projectId`	`string`	Yes	—
`datasetId`	`string`	Yes	—

Output: empty object

projectsPredictionDatasetsList

projects.projectsPredictionDatasetsList List prediction datasets uploaded by project ID Risk: read

await corsair.datarobot.api.projects.projectsPredictionDatasetsList({});

Input

Name	Type	Required	Description
`projectId`	`string`	Yes	—
`offset`	`number`	No	—
`limit`	`number`	No	—

Output: empty object

projectsPredictionDatasetsRetrieve

projects.projectsPredictionDatasetsRetrieve Get the metadata of a specific dataset by project ID Risk: read

await corsair.datarobot.api.projects.projectsPredictionDatasetsRetrieve({});

Input

Name	Type	Required	Description
`projectId`	`string`	Yes	—
`datasetId`	`string`	Yes	—

Output: empty object

projectsPredictionsCreate

projects.projectsPredictionsCreate Make new predictions by project ID Risk: write

await corsair.datarobot.api.projects.projectsPredictionsCreate({});

Input

Name	Type	Required	Description
`projectId`	`string`	Yes	—

Output: empty object

projectsPredictionsList

projects.projectsPredictionsList Get the list of prediction records by project ID Risk: read

await corsair.datarobot.api.projects.projectsPredictionsList({});

Input

Name	Type	Required	Description
`projectId`	`string`	Yes	—
`offset`	`number`	No	—
`limit`	`number`	No	—
`datasetId`	`string`	No	—
`modelId`	`string`	No	—

Output: empty object

projectsPredictionsRetrieve

projects.projectsPredictionsRetrieve Get a completed set of predictions by project ID Risk: read

await corsair.datarobot.api.projects.projectsPredictionsRetrieve({});

Input

Name	Type	Required	Description
`predictionId`	`string`	Yes	—
`projectId`	`string`	Yes	—

Output: empty object

projectsRecommendedModelsList

projects.projectsRecommendedModelsList List recommended models by project ID Risk: read

await corsair.datarobot.api.projects.projectsRecommendedModelsList({});

Input

Name	Type	Required	Description
`projectId`	`string`	Yes	—

Output: empty object

projectsRetrieve

projects.projectsRetrieve Get project by project ID Risk: read

await corsair.datarobot.api.projects.projectsRetrieve({});

Input

Name	Type	Required	Description
`projectId`	`string`	Yes	—

Output: empty object

projectsStatusList

projects.projectsStatusList Check project status by project ID Risk: read

await corsair.datarobot.api.projects.projectsStatusList({});

Input

Name	Type	Required	Description
`projectId`	`string`	Yes	—

Output: empty object

projectsTrainingPredictionsCreate

projects.projectsTrainingPredictionsCreate Submits a job by project ID Risk: write

await corsair.datarobot.api.projects.projectsTrainingPredictionsCreate({});

Input

Name	Type	Required	Description
`projectId`	`string`	Yes	—

Output: empty object

trainingPredictionsList

projects.trainingPredictionsList List training prediction jobs by project ID Risk: read

await corsair.datarobot.api.projects.trainingPredictionsList({});

Input

Name	Type	Required	Description
`projectId`	`string`	Yes	—
`offset`	`number`	No	—
`limit`	`number`	No	—

Output: empty object

Status

statusList

status.statusList List tasks Risk: read

await corsair.datarobot.api.status.statusList({});

Input

Name	Type	Required	Description
`offset`	`number`	No	—
`limit`	`number`	No	—

Output

Name	Type	Required	Description
`count`	`number`	No	—
`next`	`string`	No	—
`previous`	`string`	No	—
`data`	`any[]`	No	—

statusRetrieve

status.statusRetrieve Get task status by status ID Risk: read

await corsair.datarobot.api.status.statusRetrieve({});

Input

Name	Type	Required	Description
`statusId`	`string`	Yes	—

Output: empty object

Use Cases

useCasesCreate

useCases.useCasesCreate Get a use case. Risk: write

await corsair.datarobot.api.useCases.useCasesCreate({});

Input: empty object Output: empty object

useCasesDatasetsList

useCases.useCasesDatasetsList Get the list of the datasets associated by use case ID Risk: read

await corsair.datarobot.api.useCases.useCasesDatasetsList({});

Input

Name	Type	Required	Description
`useCaseId`	`string`	Yes	—
`offset`	`number`	No	—
`limit`	`number`	No	—
`sort`	`-columnCount \| -createdAt \| -createdBy \| -dataSourceType \| -datasetSize \| -datasetSourceType \| -lastActivity \| -modifiedAt \| -modifiedBy \| -name \| -rowCount \| columnCount \| createdAt \| createdBy \| dataSourceType \| datasetSize \| datasetSourceType \| lastActivity \| modifiedAt \| modifiedBy \| name \| rowCount`	No	—
`orderBy`	`-columnCount \| -createdAt \| -createdBy \| -dataSourceType \| -datasetSize \| -datasetSourceType \| -lastActivity \| -modifiedAt \| -modifiedBy \| -name \| -rowCount \| columnCount \| createdAt \| createdBy \| dataSourceType \| datasetSize \| datasetSourceType \| lastActivity \| modifiedAt \| modifiedBy \| name \| rowCount`	No	—
`search`	`string`	No	—

Output: empty object

useCasesDelete

useCases.useCasesDelete Delete a Use Case by use case ID Risk: destructive · Irreversible

await corsair.datarobot.api.useCases.useCasesDelete({});

Input

Name	Type	Required	Description
`useCaseId`	`string`	Yes	—

Output: empty object

useCasesDeploymentsList

useCases.useCasesDeploymentsList Get the deployments associated by use case ID Risk: read

await corsair.datarobot.api.useCases.useCasesDeploymentsList({});

Input

Name	Type	Required	Description
`useCaseId`	`string`	Yes	—
`offset`	`number`	No	—
`limit`	`number`	No	—
`orderBy`	`-createdAt \| -createdBy \| -lastActivity \| -name \| -updatedAt \| -updatedBy \| createdAt \| createdBy \| lastActivity \| name \| updatedAt \| updatedBy`	No	—
`search`	`string`	No	—

Output: empty object

useCasesList

useCases.useCasesList Retrieve the list of use cases. Risk: read

await corsair.datarobot.api.useCases.useCasesList({});

Input

Name	Type	Required	Description
`offset`	`number`	No	—
`limit`	`number`	No	—
`search`	`string`	No	—
`projectId`	`string`	No	—
`applicationId`	`string`	No	—
`entityId`	`string`	No	—
`entityType`	`project \| dataset \| file \| notebook \| application \| recipe \| playground \| vectorDatabase \| syftrSearchInstance \| embeddingModelValidation \| customModelVersion \| registeredModelVersion \| deployment \| customApplication \| customJob`	No	—
`sort`	-applicationsCount \| -createdAt \| -createdBy \| -customApplicationsCount \| -datasetsCount \| -description \| -filesCount \| -id \| -name \| -notebooksCount \| -playgroundsCount \| -potentialValue \| -projectsCount \| -riskLevel \| -stage \| -updatedAt \| -updatedBy \| -vectorDatabasesCount \| applicationsCount \| createdAt \| createdBy \| customApplicationsCount \| datasetsCount \| description \| filesCount \| id \| name \| notebooksCount \| playgroundsCount \| potentialValue \| projectsCount \| riskLevel \| stage \| updatedAt \| updatedBy \| vectorDatabasesCount	No	—
`orderBy`	-applicationsCount \| -createdAt \| -createdBy \| -customApplicationsCount \| -datasetsCount \| -description \| -filesCount \| -id \| -name \| -notebooksCount \| -playgroundsCount \| -potentialValue \| -projectsCount \| -riskLevel \| -stage \| -updatedAt \| -updatedBy \| -vectorDatabasesCount \| applicationsCount \| createdAt \| createdBy \| customApplicationsCount \| datasetsCount \| description \| filesCount \| id \| name \| notebooksCount \| playgroundsCount \| potentialValue \| projectsCount \| riskLevel \| stage \| updatedAt \| updatedBy \| vectorDatabasesCount	No	—
`usecaseType`	`all \| general \| walkthrough`	No	—
`riskLevel`	`string`	No	—
`stage`	`string`	No	—
`createdBy`	`string`	No	—
`showOrgUseCases`	`boolean`	No	—

Output

Name	Type	Required	Description
`count`	`number`	No	—
`next`	`string`	No	—
`previous`	`string`	No	—
`data`	`any[]`	No	—

useCasesPatch

useCases.useCasesPatch Update a Use Case by use case ID Risk: write

await corsair.datarobot.api.useCases.useCasesPatch({});

Input

Name	Type	Required	Description
`useCaseId`	`string`	Yes	—

Output: empty object

useCasesProjectsList

useCases.useCasesProjectsList Get the list of the projects associated by use case ID Risk: read

await corsair.datarobot.api.useCases.useCasesProjectsList({});

Input

Name	Type	Required	Description
`useCaseId`	`string`	Yes	—
`offset`	`number`	No	—
`limit`	`number`	No	—
`search`	`string`	No	—
`sort`	`-createdAt \| -createdBy \| -dataset \| -featureCount \| -fullName \| -lastActivity \| -models \| -name \| -projectId \| -rowCount \| -target \| -targetType \| -timeAware \| -updatedAt \| -updatedBy \| createdAt \| createdBy \| dataset \| featureCount \| fullName \| lastActivity \| models \| name \| projectId \| rowCount \| target \| targetType \| timeAware \| updatedAt \| updatedBy`	No	—
`orderBy`	`-createdAt \| -createdBy \| -dataset \| -featureCount \| -fullName \| -lastActivity \| -models \| -name \| -projectId \| -rowCount \| -target \| -targetType \| -timeAware \| -updatedAt \| -updatedBy \| createdAt \| createdBy \| dataset \| featureCount \| fullName \| lastActivity \| models \| name \| projectId \| rowCount \| target \| targetType \| timeAware \| updatedAt \| updatedBy`	No	—

Output: empty object

useCasesRetrieve

useCases.useCasesRetrieve Get a use case by use case ID Risk: read

await corsair.datarobot.api.useCases.useCasesRetrieve({});

Input

Name	Type	Required	Description
`useCaseId`	`string`	Yes	—

Output: empty object

Version

versionList

version.versionList Retrieve version information. Risk: read

await corsair.datarobot.api.version.versionList({});

Input: empty object Output

Name	Type	Required	Description
`count`	`number`	No	—
`next`	`string`	No	—
`previous`	`string`	No	—
`data`	`any[]`	No	—

​Batch Predictions

​batchPredictionsCreate

​batchPredictionsDelete

​batchPredictionsFromExistingCreate

​batchPredictionsFromJobDefinitionCreate

​batchPredictionsList

​batchPredictionsRetrieve

​Catalog Items

​catalogItemsList

​catalogItemsRetrieve

​Credentials

​credentialsCreate

​credentialsDelete

​credentialsList

​credentialsRetrieve

​Custom Models

​customModelsCreate

​customModelsDelete

​customModelsList

​customModelsRetrieve

​customModelsVersionsCreate

​customModelsVersionsList

​Datasets

​datasetsAllFeaturesDetailsList

​datasetsDelete

​datasetsFeaturelistsList

​datasetsFileList

​datasetsFromDataSourceCreate

​datasetsFromFileCreate

​datasetsFromURLCreate

​datasetsList

​datasetsPatch

​datasetsProjectsList

​datasetsRetrieve

​datasetsVersionsDelete

​datasetsVersionsFromFileCreate

​datasetsVersionsFromURLCreate

​datasetsVersionsList

​datasetsVersionsRetrieve

​Deployments

​deploymentsAccuracyList

​deploymentsAccuracyOverTimeList

​deploymentsCapabilitiesList

​deploymentsDelete

​deploymentsFeaturesList

​deploymentsFromLearningModelCreate

​deploymentsFromModelPackageCreate

​deploymentsList

​deploymentsModelHistoryList

​deploymentsModelPatchMany

​deploymentsPatch

​deploymentsPredictionsOverTimeList

​deploymentsRetrieve

​deploymentsServiceStatsList

​deploymentsSettingsList

​deploymentsSettingsPatchMany

​deploymentsSharedRolesList

​Model Packages

​modelPackagesFeaturesList

​modelPackagesFromLeaderboardCreate

​modelPackagesList

​modelPackagesRetrieve

​Prediction Servers

​predictionServersList

​Projects

​configureAndStartAutopilot

​projectsAccessControlList

​projectsAutopilotCreate

​projectsAutopilotsCreate

​projectsBlueprintsList

​projectsBlueprintsRetrieve

​projectsCreate

​projectsDatetimeModelsList

​projectsDelete

​projectsDeploymentReadyModelsCreate

​projectsFeaturelistsCreate

​projectsFeaturelistsDelete

​projectsFeaturelistsList

​projectsFeaturelistsPatch

​projectsFeaturelistsRetrieve

Batch Predictions

batchPredictionsCreate

batchPredictionsDelete

batchPredictionsFromExistingCreate

batchPredictionsFromJobDefinitionCreate

batchPredictionsList

batchPredictionsRetrieve

Catalog Items

catalogItemsList

catalogItemsRetrieve

Credentials

credentialsCreate

credentialsDelete

credentialsList

credentialsRetrieve

Custom Models

customModelsCreate

customModelsDelete

customModelsList

customModelsRetrieve

customModelsVersionsCreate

customModelsVersionsList

Datasets

datasetsAllFeaturesDetailsList

datasetsDelete

datasetsFeaturelistsList

datasetsFileList

datasetsFromDataSourceCreate

datasetsFromFileCreate

datasetsFromURLCreate

datasetsList

datasetsPatch

datasetsProjectsList

datasetsRetrieve

datasetsVersionsDelete

datasetsVersionsFromFileCreate

datasetsVersionsFromURLCreate

datasetsVersionsList

datasetsVersionsRetrieve

Deployments

deploymentsAccuracyList

deploymentsAccuracyOverTimeList

deploymentsCapabilitiesList

deploymentsDelete

deploymentsFeaturesList

deploymentsFromLearningModelCreate

deploymentsFromModelPackageCreate

deploymentsList

deploymentsModelHistoryList

deploymentsModelPatchMany

deploymentsPatch

deploymentsPredictionsOverTimeList

deploymentsRetrieve

deploymentsServiceStatsList

deploymentsSettingsList

deploymentsSettingsPatchMany

deploymentsSharedRolesList

Model Packages

modelPackagesFeaturesList

modelPackagesFromLeaderboardCreate

modelPackagesList

modelPackagesRetrieve

Prediction Servers

predictionServersList

Projects

configureAndStartAutopilot

projectsAccessControlList

projectsAutopilotCreate

projectsAutopilotsCreate

projectsBlueprintsList

projectsBlueprintsRetrieve

projectsCreate

projectsDatetimeModelsList

projectsDelete

projectsDeploymentReadyModelsCreate

projectsFeaturelistsCreate

projectsFeaturelistsDelete

projectsFeaturelistsList

projectsFeaturelistsPatch

projectsFeaturelistsRetrieve