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"as.data.frame.projectSummaryList" ] }, { "page": "as.dataRobotFeatureInfo", "title": "Information on a data feature.", "concept": [ "feature functions" ], "topics": [ "as.dataRobotFeatureInfo" ] }, { "page": "as.dataRobotMultiSeriesProperties", "title": "Return value for GetMultiSeriesProperties() and others", "concept": [ "MultiSeriesProject functions" ], "topics": [ "as.dataRobotMultiSeriesProperties" ] }, { "page": "as.dataRobotProjectShort", "title": "Return value for SetupProject() and others", "topics": [ "as.dataRobotProjectShort" ] }, { "page": "AutopilotMode", "title": "Autopilot modes", "topics": [ "AutopilotMode" ] }, { "page": "BatchFeaturesTypeTransform", "title": "Create new features by transforming the type of an existing ones.", "topics": [ "BatchFeaturesTypeTransform" ] }, { "page": "BlendMethods", "title": "Blend methods", "topics": [ "BlendMethods" ] }, { "page": "BlueprintChartToGraphviz", "title": "Convert a blueprint chart into graphviz DOT format", "topics": [ "BlueprintChartToGraphviz" ] }, { "page": "CheckUrl", "title": "Make sure the path is a reasonable URL", "topics": [ "CheckUrl" ] }, { "page": "ClassificationDeploymentAccuracyMetric", "title": "Accuracy metrics for classification deployments", "topics": [ "ClassificationDeploymentAccuracyMetric" ] }, { "page": "CleanServerData", "title": "Reformat paginated data returned from the server.", "topics": [ "CleanServerData" ] }, { "page": "CloneProject", "title": "Clone a project", "topics": [ "CloneProject" ] }, { "page": "ComputeDatetimeTrendPlots", "title": "Compute datetime trend plots for datetime partitioned model.", "topics": [ "ComputeDatetimeTrendPlots" ] }, { "page": "ConnectToDataRobot", "title": "Establish a connection to the DataRobot modeling engine", "topics": [ "ConnectToDataRobot" ] }, { "page": "ConstructDurationString", "title": "Construct a valid string representing a duration in accordance with ISO8601", "topics": [ "ConstructDurationString" ] }, { "page": "CreateBacktestSpecification", "title": "Create a list describing backtest parameters", "topics": [ "CreateBacktestSpecification" ] }, { "page": "CreateCalendar", "title": "Create a calendar from an uploaded CSV.", "topics": [ "CreateCalendar" ] }, { "page": "CreateComplianceDocumentation", "title": "Create compliance documentation from a model.", "topics": [ "CreateComplianceDocumentation" ] }, { "page": "CreateDataSource", "title": "Create a data source.", "topics": [ "CreateDataSource" ] }, { "page": "CreateDataStore", "title": "Create a data store.", "topics": [ "CreateDataStore" ] }, { "page": "CreateDatetimePartitionSpecification", "title": "Create a list describing datetime partition parameters", "topics": [ "CreateDatetimePartitionSpecification" ] }, { "page": "CreateDeployment", "title": "Create a deployment.", "topics": [ "CreateDeployment" ] }, { "page": "CreateDerivedFeatures", "title": "Derived Features", "topics": [ "CreateDerivedFeatureAsCategorical", "CreateDerivedFeatureAsNumeric", "CreateDerivedFeatureAsText", "CreateDerivedFeatureIntAsCategorical", "CreateDerivedFeatures" ] }, { "page": "CreateFeaturelist", "title": "Create a new featurelist in a DataRobot project", "topics": [ "CreateFeaturelist" ] }, { "page": "CreateGroupPartition", "title": "Create a group-based S3 object of class partition for the SetTarget function", "topics": [ "CreateGroupPartition" ] }, { "page": "CreateModelingFeaturelist", "title": "This function allows the user to create a new featurelist in a project by specifying its name and a list of variables to be included", "topics": [ "CreateModelingFeaturelist" ] }, { "page": "CreatePrimeCode", "title": "Create and validate the downloadable code for the ruleset associated with this model", "topics": [ "CreatePrimeCode" ] }, { "page": "CreateRandomPartition", "title": "Create a random sampling-based S3 object of class partition for the SetTarget function", "topics": [ "CreateRandomPartition" ] }, { "page": "CreateRatingTable", "title": "Creates and validates a new rating table from an uploaded CSV.", "topics": [ "CreateRatingTable" ] }, { "page": "CreateStratifiedPartition", "title": "Create a stratified sampling-based S3 object of class partition for the SetTarget function", "topics": [ "CreateStratifiedPartition" ] }, { "page": "CreateUserPartition", "title": "Create a class partition object for use in the SetTarget function representing a user-defined partition.", "topics": [ "CreateUserPartition" ] }, { "page": "CrossValidateModel", "title": "Run cross validation on a model.", "topics": [ "CrossValidateModel" ] }, { "page": "cvMethods", "title": "CV methods", "topics": [ "cvMethods" ] }, { "page": "DataPartition", "title": "Data Partition methods", "topics": [ "DataPartition" ] }, { "page": "DataPathFromDataArg", "title": "Get the data path.", "topics": [ "DataPathFromDataArg" ] }, { "page": "DataSubset", "title": "Data subset for training predictions", "topics": [ "DataSubset" ] }, { "page": "DatetimeTrendPlotsResolutions", "title": "Datetime trend plots resolutions", "topics": [ "DatetimeTrendPlotsResolutions" ] }, { "page": "DatetimeTrendPlotsStatuses", "title": "Datetime trend plots statuses", "topics": [ "DatetimeTrendPlotsStatuses" ] }, { "page": "DeleteAnomalyAssessmentRecord", "title": "Delete anomaly assessment record.", "concept": [ "Anomaly Assessment functions" ], "topics": [ "DeleteAnomalyAssessmentRecord" ] }, { "page": "DeleteCalendar", "title": "Delete a calendar", "topics": [ "DeleteCalendar" ] }, { "page": "DeleteComplianceDocTemplate", "title": "Deletes a compliance doc template.", "topics": [ "DeleteComplianceDocTemplate" ] }, { "page": "DeleteDataSource", "title": "Delete a data store.", "topics": [ "DeleteDataSource" ] }, { "page": "DeleteDataStore", "title": "Delete a data store.", "topics": [ "DeleteDataStore" ] }, { "page": "DeleteDeployment", "title": "Delete a deployment.", "topics": [ "DeleteDeployment" ] }, { "page": "DeleteFeaturelist", "title": "Delete a featurelist", "topics": [ "DeleteFeaturelist" ] }, { "page": "DeleteJob", "title": "Cancel a running job", "topics": [ "DeleteJob" ] }, { "page": "DeleteModel", "title": "Delete a specified DataRobot model", "topics": [ "DeleteModel" ] }, { "page": "DeleteModelingFeaturelist", "title": "Delete a modeling featurelist", "topics": [ "DeleteModelingFeaturelist" ] }, { "page": "DeleteModelJob", "title": "Delete a model job from the modeling queue", "topics": [ "DeleteModelJob" ] }, { "page": "DeletePredictionDataset", "title": "Delete a specified prediction dataset", "topics": [ "DeletePredictionDataset" ] }, { "page": "DeletePredictionExplanations", "title": "Function to delete prediction explanations", "topics": [ "DeletePredictionExplanations" ] }, { "page": "DeletePredictionExplanationsInitialization", "title": "Delete the prediction explanations initialization for a model.", "topics": [ "DeletePredictionExplanationsInitialization" ] }, { "page": "DeletePredictJob", "title": "Function to delete one predict job from the DataRobot queue", "topics": [ "DeletePredictJob" ] }, { "page": "DeleteProject", "title": "Delete a specified element from the DataRobot project list", "topics": [ "DeleteProject" ] }, { "page": "DeleteTransferableModel", "title": "Delete this imported model.", "concept": [ "Transferable Model functions" ], "topics": [ "DeleteTransferableModel" ] }, { "page": "DeploymentAccuracyMetric", "title": "Deployment accuracy metrics", "topics": [ "DeploymentAccuracyMetric" ] }, { "page": "DeploymentServiceHealthMetric", "title": "Deployment service health metrics", "topics": [ "DeploymentServiceHealthMetric" ] }, { "page": "DifferencingMethod", "title": "Differencing method", "topics": [ "DifferencingMethod" ] }, { "page": "DownloadComplianceDocTemplate", "title": "Download a compliance doc template (in JSON format).", "topics": [ "DownloadComplianceDocTemplate" ] }, { "page": "DownloadComplianceDocumentation", "title": "Download compliance documentation (in DOCX format).", "topics": [ "DownloadComplianceDocumentation" ] }, { "page": "DownloadPredictionExplanations", "title": "Function to download and save prediction explanations rows as csv file", "topics": [ "DownloadPredictionExplanations" ] }, { "page": "DownloadPrimeCode", "title": "Download the code of DataRobot Prime model and save it to a file.", "topics": [ "DownloadPrimeCode" ] }, { "page": "DownloadRatingTable", "title": "Download a rating table to a CSV.", "topics": [ "DownloadRatingTable" ] }, { "page": "DownloadScoringCode", "title": "Download scoring code JAR", "topics": [ "DownloadScoringCode" ] }, { "page": "DownloadSeriesAccuracy", "title": "Download the series accuracy for a model, computing it if not already computed.", "topics": [ "DownloadSeriesAccuracy" ] }, { "page": "DownloadTimeSeriesFeatureDerivationLog", "title": "Download the time series feature derivation log as a text file.", "topics": [ "DownloadTimeSeriesFeatureDerivationLog" ] }, { "page": "DownloadTrainingPredictions", "title": "Download training predictions on a specified data set.", "topics": [ "DownloadTrainingPredictions" ] }, { "page": "DownloadTransferableModel", "title": "Download an transferable model file for use in an on-premise DataRobot standalone prediction environment.", "concept": [ "Transferable Model functions" ], "topics": [ "DownloadTransferableModel" ] }, { "page": "ExpectHasKeys", "title": "Make sure that the object has all of the keys specified. Also tests that there are not additional keys if 'allowAdditional' is FALSE (default).", "topics": [ "ExpectHasKeys" ] }, { "page": "FeatureFromAsyncUrl", "title": "Retrieve a feature from the creation URL", "topics": [ "FeatureFromAsyncUrl" ] }, { "page": "formatRFC3339Timestamp", "title": "formatRFC3339Timestamp", "concept": [ "API datetime functions" ], "topics": [ "formatRFC3339Timestamp" ] }, { "page": "GenerateDatetimePartition", "title": "Preview the full partitioning determined by a DatetimePartitioningSpecification", "topics": [ "GenerateDatetimePartition" ] }, { "page": "GetAccuracyOverTimePlot", "title": "Retrieve Accuracy over Time plot for a model.", "topics": [ "GetAccuracyOverTimePlot" ] }, { "page": "GetAccuracyOverTimePlotPreview", "title": "Retrieve Accuracy over Time preview plot for a model.", "topics": [ "GetAccuracyOverTimePlotPreview" ] }, { "page": "GetAccuracyOverTimePlotsMetadata", "title": "Retrieve Accuracy over Time plots metadata for a model.", "topics": [ "GetAccuracyOverTimePlotsMetadata" ] }, { "page": "GetAnomalyAssessmentExplanations", "title": "Retrieve anomaly assessment explanations.", "concept": [ "Anomaly Assessment functions" ], "topics": [ "GetAnomalyAssessmentExplanations" ] }, { "page": "GetAnomalyAssessmentPredictionsPreview", "title": "Retrieve anomaly assessment predictions preview.", "concept": [ "Anomaly Assessment functions" ], "topics": [ "GetAnomalyAssessmentPredictionsPreview" ] }, { "page": "GetBlenderModel", "title": "Retrieve the details of a specified blender model", "topics": [ "GetBlenderModel" ] }, { "page": "GetBlenderModelFromJobId", "title": "Retrieve a new or updated blender model defined by modelJobId", "topics": [ "GetBlenderModelFromJobId" ] }, { "page": "GetBlueprint", "title": "Retrieve a blueprint", "topics": [ "GetBlueprint" ] }, { "page": "GetBlueprintChart", "title": "Retrieve a blueprint chart", "topics": [ "GetBlueprintChart" ] }, { "page": "GetBlueprintDocumentation", "title": "Get documentation for tasks used in the blueprint", "topics": [ "GetBlueprintDocumentation" ] }, { "page": "GetCalendar", "title": "Retrieve a calendar", "topics": [ "GetCalendar" ] }, { "page": "GetCalendarFromProject", "title": "Retrieve the calendar for a particular project.", "topics": [ "GetCalendarFromProject" ] }, { "page": "GetComplianceDocTemplate", "title": "Get a compliance doc template.", "topics": [ "GetComplianceDocTemplate" ] }, { "page": "GetConfusionChart", "title": "Retrieve a model's confusion chart for a specified source.", "topics": [ "GetConfusionChart" ] }, { "page": "GetCrossValidationScores", "title": "Get cross validation scores", "topics": [ "GetCrossValidationScores" ] }, { "page": "GetDataSource", "title": "Returns information about a particular data source.", "topics": [ "GetDataSource" ] }, { "page": "GetDataStore", "title": "Returns information about a particular data store.", "topics": [ "GetDataStore" ] }, { "page": "GetDataStoreSchemas", "title": "Get the schemas associated with a data store.", "topics": [ "GetDataStoreSchemas" ] }, { "page": "GetDataStoreTables", "title": "Get all tables associated with a data store.", "topics": [ "GetDataStoreTables" ] }, { "page": "GetDatetimeModel", "title": "Retrieve the details of a specified datetime model.", "topics": [ "GetDatetimeModel" ] }, { "page": "GetDatetimeModelFromJobId", "title": "Retrieve a new or updated datetime model defined by modelJobId", "topics": [ "GetDatetimeModelFromJobId" ] }, { "page": "GetDatetimePartition", "title": "Retrieve the DatetimePartitioning from a project", "topics": [ "GetDatetimePartition" ] }, { "page": "GetDeployment", "title": "Get information on a particular deployment.", "topics": [ "GetDeployment" ] }, { "page": "GetDeploymentAccuracy", "title": "Retrieve accuracy statistics for a deployment.", "concept": [ "deployment accuracy functions" ], "topics": [ "GetDeploymentAccuracy" ] }, { "page": "GetDeploymentAccuracyOverTime", "title": "Retrieves accuracy statistics over time on given metrics for a deployment.", "concept": [ "deployment accuracy functions" ], "topics": [ "GetDeploymentAccuracyOverTime" ] }, { "page": "GetDeploymentAssociationId", "title": "Deployment Association ID", "concept": [ "deployment accuracy functions" ], "topics": [ "GetDeploymentAssociationId", "UpdateDeploymentAssociationId" ] }, { "page": "GetDeploymentDriftTrackingSettings", "title": "Get drift tracking settings for a deployment.", "topics": [ "GetDeploymentDriftTrackingSettings" ] }, { "page": "GetDeploymentServiceStats", "title": "Retrieve service health statistics for a deployment.", "topics": [ "GetDeploymentServiceStats" ] }, { "page": "GetDeploymentServiceStatsOverTime", "title": "Retrieves service health statistics over time on given metrics for a deployment.", "topics": [ "GetDeploymentServiceStatsOverTime" ] }, { "page": "GetDriver", "title": "Returns information about a particular driver.", "topics": [ "GetDriver" ] }, { "page": "GetFeatureAssociationMatrix", "title": "Get pairwise feature association statistics for a project's informative features", "topics": [ "GetFeatureAssociationMatrix" ] }, { "page": "GetFeatureAssociationMatrixDetails", "title": "Get a sample of the actual values used to measure the association between a pair of features.", "topics": [ "GetFeatureAssociationMatrixDetails" ] }, { "page": "GetFeatureHistogram", "title": "Retrieve histogram plot data for a specific feature", "topics": [ "GetFeatureHistogram" ] }, { "page": "GetFeatureImpact", "title": "Get the feature impact for a model, requesting the feature impact if it is not already available.", "topics": [ "GetFeatureImpact" ] }, { "page": "GetFeatureImpactForJobId", "title": "Retrieve completed Feature Impact results given a job ID", "topics": [ "GetFeatureImpactForJobId" ] }, { "page": "GetFeatureImpactForModel", "title": "Retrieve completed Feature Impact results given a model", "topics": [ "GetFeatureImpactForModel" ] }, { "page": "GetFeatureInfo", "title": "Details about a feature", "concept": [ "feature functions" ], "topics": [ "GetFeatureInfo" ] }, { "page": "GetFeaturelist", "title": "Retrieve a specific featurelist from a DataRobot project", "topics": [ "GetFeaturelist" ] }, { "page": "GetFrozenModel", "title": "Retrieve the details of a specified frozen model", "topics": [ "GetFrozenModel" ] }, { "page": "GetFrozenModelFromJobId", "title": "Retrieve a frozen model defined by modelJobId", "topics": [ "GetFrozenModelFromJobId" ] }, { "page": "GetGeneralizedInsight", "title": "An internal function to help fetch insights.", "topics": [ "GetGeneralizedInsight" ] }, { "page": "GetJob", "title": "Request information about a job", "topics": [ "GetJob" ] }, { "page": "GetLiftChart", "title": "Retrieve lift chart data for a model for a data partition (see DataPartition)", "topics": [ "GetLiftChart" ] }, { "page": "GetMissingValuesReport", "title": "Get a report on missing values for the model.", "topics": [ "GetMissingValuesReport" ] }, { "page": "GetModel", "title": "Retrieve the details of a specified model", "topics": [ "GetModel" ] }, { "page": "GetModelBlueprintChart", "title": "Retrieve a model blueprint chart", "topics": [ "GetModelBlueprintChart" ] }, { "page": "GetModelBlueprintDocumentation", "title": "Get documentation for tasks used in the model blueprint", "topics": [ "GetModelBlueprintDocumentation" ] }, { "page": "GetModelCapabilities", "title": "Get supported capabilities for a model, e.g., whether it has a word cloud.", "topics": [ "GetModelCapabilities" ] }, { "page": "GetModelFromJobId", "title": "Retrieve a new or updated model defined by modelJobId", "topics": [ "GetModelFromJobId" ] }, { "page": "GetModelingFeaturelist", "title": "Retrieve a specific modeling featurelist from a DataRobot project", "topics": [ "GetModelingFeaturelist" ] }, { "page": "GetModelJob", "title": "Request information about a single model job", "topics": [ "GetModelJob" ] }, { "page": "GetModelParameters", "title": "Retrieve model parameters", "topics": [ "GetModelParameters" ] }, { "page": "GetModelRecommendation", "title": "Retrieve a model recommendation from DataRobot for your project.", "topics": [ "GetModelRecommendation" ] }, { "page": "GetMultiSeriesProperties", "title": "Retrieve time series properties for a potential multiseries datetime partition column", "concept": [ "MultiSeriesProject functions" ], "topics": [ "GetMultiSeriesProperties" ] }, { "page": "GetParetoFront", "title": "Pareto Front data for a Eureqa model", "topics": [ "GetParetoFront" ] }, { "page": "GetPredictionDataset", "title": "Retrieve data on a prediction dataset", "topics": [ "GetPredictionDataset" ] }, { "page": "GetPredictionExplanations", "title": "Get prediction explanations", "topics": [ "GetPredictionExplanations" ] }, { "page": "GetPredictionExplanationsInitialization", "title": "Retrieve the prediction explanations initialization for a model.", "topics": [ "GetPredictionExplanationsInitialization" ] }, { "page": "GetPredictionExplanationsInitializationFromJobId", "title": "Retrieve the prediction explanations initialization for a model using jobId", "topics": [ "GetPredictionExplanationsInitializationFromJobId" ] }, { "page": "GetPredictionExplanationsMetadata", "title": "Retrieve metadata for specified prediction explanations", "topics": [ "GetPredictionExplanationsMetadata" ] }, { "page": "GetPredictionExplanationsMetadataFromJobId", "title": "Retrieve the prediction explanations metadata for a model using jobId", "topics": [ "GetPredictionExplanationsMetadataFromJobId" ] }, { "page": "GetPredictionExplanationsRows", "title": "Retrieve all prediction explanations rows", "topics": [ "GetPredictionExplanationsRows" ] }, { "page": "GetPredictionExplanationsRowsAsDataFrame", "title": "Retrieve all prediction explanations rows and return them as a data frame", "topics": [ "GetPredictionExplanationsRowsAsDataFrame" ] }, { "page": "GetPredictions", "title": "Retrieve model predictions", "topics": [ "GetPredictions" ] }, { "page": "GetPredictJob", "title": "Request information about a predict job", "topics": [ "GetPredictJob" ] }, { "page": "GetPredictJobs", "title": "Function to list all prediction jobs in a project", "topics": [ "GetPredictJobs" ] }, { "page": "GetPrimeEligibility", "title": "Check if model can be approximated with DataRobot Prime", "topics": [ "GetPrimeEligibility" ] }, { "page": "GetPrimeFile", "title": "Retrieve a specific Prime file from a DataRobot project", "topics": [ "GetPrimeFile" ] }, { "page": "GetPrimeFileFromJobId", "title": "Retrieve a specific Prime file from a DataRobot project for corresponding jobId", "topics": [ "GetPrimeFileFromJobId" ] }, { "page": "GetPrimeModel", "title": "Retrieve information about specified DataRobot Prime model.", "topics": [ "GetPrimeModel" ] }, { "page": "GetPrimeModelFromJobId", "title": "Retrieve information about specified DataRobot Prime model using corresponding jobId.", "topics": [ "GetPrimeModelFromJobId" ] }, { "page": "GetProject", "title": "Retrieve details about a specified DataRobot modeling project", "topics": [ "GetProject" ] }, { "page": "GetProjectStatus", "title": "Request Autopilot status for a specified DataRobot project", "topics": [ "GetProjectStatus" ] }, { "page": "GetRatingTable", "title": "Retrieve a single rating table.", "topics": [ "GetRatingTable" ] }, { "page": "GetRatingTableFromJobId", "title": "Get a rating table from the rating table job metadata.", "topics": [ "GetRatingTableFromJobId" ] }, { "page": "GetRatingTableModel", "title": "Retrieve information about specified model with a rating table.", "topics": [ "GetRatingTableModel" ] }, { "page": "GetRatingTableModelFromJobId", "title": "Retrieve a new or updated rating table model defined by a job ID.", "topics": [ "GetRatingTableModelFromJobId" ] }, { "page": "GetRecommendedModel", "title": "Retrieve the model object that DataRobot recommends for your project.", "topics": [ "GetRecommendedModel" ] }, { "page": "GetResidualsChart", "title": "Retrieve residuals chart data for a model for a data partition (see DataPartition).", "topics": [ "GetResidualsChart" ] }, { "page": "GetRocCurve", "title": "Retrieve ROC curve data for a model for a particular data partition (see DataPartition)", "topics": [ "GetRocCurve" ] }, { "page": "GetRulesets", "title": "List the rulesets approximating a model generated by DataRobot Prime", "topics": [ "GetRulesets" ] }, { "page": "GetSeriesAccuracy", "title": "Get the computed series accuracy for a model, computing it if not already computed.", "topics": [ "GetSeriesAccuracy" ] }, { "page": "GetSeriesAccuracyForModel", "title": "Get the series accuracy associated with a particular model.", "topics": [ "GetSeriesAccuracyForModel" ] }, { "page": "GetServerDataInRows", "title": "Handle server side pagination.", "topics": [ "GetServerDataInRows" ] }, { "page": "GetTimeSeriesFeatureDerivationLog", "title": "Retrieve the time series feature derivation log content", "topics": [ "GetTimeSeriesFeatureDerivationLog" ] }, { "page": "GetTrainingPredictionDataFrame", "title": "Simplify the training prediction rows into a tidy format dataframe.", "topics": [ "GetTrainingPredictionDataFrame" ] }, { "page": "GetTrainingPredictions", "title": "Retrieve training predictions on a specified data set.", "topics": [ "GetTrainingPredictions" ] }, { "page": "GetTrainingPredictionsForModel", "title": "Get training predictions for a particular model.", "topics": [ "GetTrainingPredictionsForModel" ] }, { "page": "GetTrainingPredictionsFromJobId", "title": "Retrieve the training predictions for a model using a job id.", "topics": [ "GetTrainingPredictionsFromJobId" ] }, { "page": "GetTransferableModel", "title": "Retrieve imported model info using import id", "concept": [ "Transferable Model functions" ], "topics": [ "GetTransferableModel" ] }, { "page": "GetTuningParameters", "title": "Retrieve data on tuning parameters for a particular model.", "topics": [ "GetTuningParameters" ] }, { "page": "GetValidMetrics", "title": "Retrieve the valid fitting metrics for a specified project and target", "topics": [ "GetValidMetrics" ] }, { "page": "GetWordCloud", "title": "Retrieve word cloud data for a model.", "topics": [ "GetWordCloud" ] }, { "page": "InitializeAnomalyAssessment", "title": "Request anomaly assessment insight computation on the specified subset.", "concept": [ "Anomaly Assessment functions" ], "topics": [ "InitializeAnomalyAssessment" ] }, { "page": "IsBlenderEligible", "title": "Check whether individual models can be blended together", "topics": [ "IsBlenderEligible" ] }, { "page": "IsId", "title": "Checks if an id is a valid DataRobot ID (24 character string)", "topics": [ "IsId" ] }, { "page": "IsParameterIn", "title": "Check if a parameter is in a list of possibilities.", "topics": [ "IsParameterIn" ] }, { "page": "JobStatus", "title": "Job statuses", "topics": [ "JobStatus" ] }, { "page": "JobType", "title": "Job type", "topics": [ "JobType" ] }, { "page": "ListAnomalyAssessmentRecords", "title": "Retrieve anomaly assessment records.", "concept": [ "Anomaly Assessment functions" ], "topics": [ "ListAnomalyAssessmentRecords" ] }, { "page": "ListBlueprints", "title": "Retrieve the list of available blueprints for a project", "topics": [ "ListBlueprints" ] }, { "page": "ListCalendars", "title": "List all available calendars.", "topics": [ "ListCalendars" ] }, { "page": "ListComplianceDocTemplates", "title": "Retrieve information about all compliance doc templates.", "topics": [ "ListComplianceDocTemplates" ] }, { "page": "ListConfusionCharts", "title": "Returns all available confusion charts for the model.", "topics": [ "ListConfusionCharts" ] }, { "page": "ListDataSources", "title": "Returns a dataframe with information on available data sources.", "topics": [ "ListDataSources" ] }, { "page": "ListDataStores", "title": "Returns a dataframe with information on available data stores.", "topics": [ "ListDataStores" ] }, { "page": "ListDeployments", "title": "List all current model deployments.", "topics": [ "ListDeployments" ] }, { "page": "ListDrivers", "title": "Returns a dataframe with information on available drivers.", "topics": [ "ListDrivers" ] }, { "page": "ListFeatureInfo", "title": "Details about all features for this project", "concept": [ "feature functions" ], "topics": [ "ListFeatureInfo" ] }, { "page": "ListFeaturelists", "title": "Retrieve all featurelists associated with a project", "topics": [ "ListFeaturelists" ] }, { "page": "ListJobs", "title": "Retrieve information about jobs", "topics": [ "ListJobs" ] }, { "page": "ListLiftCharts", "title": "Retrieve lift chart data for a model for all available data partitions (see DataPartition)", "topics": [ "ListLiftCharts" ] }, { "page": "ListModelFeatures", "title": "Returns the list of features (i.e., variables) on which a specified model is based", "concept": [ "feature functions" ], "topics": [ "ListModelFeatures" ] }, { "page": "ListModelingFeaturelists", "title": "Retrieve all modeling featurelists associated with a project", "topics": [ "ListModelingFeaturelists" ] }, { "page": "ListModelJobs", "title": "Retrieve status of Autopilot modeling jobs that are not complete", "topics": [ "ListModelJobs" ] }, { "page": "ListModelRecommendations", "title": "Retrieve information about model recommendation made by DataRobot for your project.", "topics": [ "ListModelRecommendations" ] }, { "page": "ListModels", "title": "Retrieve all available model information for a DataRobot project", "topics": [ "ListModels" ] }, { "page": "ListPredictionDatasets", "title": "Retrieve all prediction datasets associated with a project", "topics": [ "ListPredictionDatasets" ] }, { "page": "ListPredictionExplanationsMetadata", "title": "Retrieve metadata for prediction explanations in specified project", "topics": [ "ListPredictionExplanationsMetadata" ] }, { "page": "ListPredictions", "title": "Fetch all computed predictions for a project.", "topics": [ "ListPredictions" ] }, { "page": "ListPredictionServers", "title": "List all available prediction servers.", "topics": [ "ListPredictionServers" ] }, { "page": "ListPrimeFiles", "title": "List all downloadable code files from DataRobot Prime for the project", "topics": [ "ListPrimeFiles" ] }, { "page": "ListPrimeModels", "title": "Retrieve information about all DataRobot Prime models for a DataRobot project", "topics": [ "ListPrimeModels" ] }, { "page": "ListProjects", "title": "Retrieve a list of all DataRobot projects", "topics": [ "ListProjects" ] }, { "page": "ListRatingTableModels", "title": "Retrieve information about all DataRobot models with a rating table.", "topics": [ "ListRatingTableModels" ] }, { "page": "ListRatingTables", "title": "Retrieve information about all rating tables.", "topics": [ "ListRatingTables" ] }, { "page": "ListResidualsCharts", "title": "Retrieve residuals chart data for a model for all available data partitions (see 'DataPartition'). This chart is only available for regression models that are not time-aware.", "topics": [ "ListResidualsCharts" ] }, { "page": "ListRocCurves", "title": "Retrieve ROC curve data for a model for all available data partitions (see DataPartition)", "topics": [ "ListRocCurves" ] }, { "page": "ListSharingAccess", "title": "List information about which users have what kinds of access to a shared object.", "topics": [ "ListSharingAccess" ] }, { "page": "ListStarredModels", "title": "List all the starred models in a project.", "topics": [ "ListStarredModels" ] }, { "page": "ListTrainingPredictions", "title": "Retrieve information about all training prediction datasets in a project.", "topics": [ "ListTrainingPredictions" ] }, { "page": "ListTransferableModels", "title": "Retrieve information about all imported models This function returns a data.frame that describes all imported models", "concept": [ "Transferable Model functions" ], "topics": [ "ListTransferableModels" ] }, { "page": "MakeDataRobotRequest", "title": "Make a HTTP request", "topics": [ "MakeDataRobotRequest" ] }, { "page": "ModelCapability", "title": "Model capabilities", "topics": [ "ModelCapability" ] }, { "page": "ModelReplacementReason", "title": "Model replacement reason", "topics": [ "ModelReplacementReason" ] }, { "page": "MulticlassDeploymentAccuracyMetric", "title": "Accuracy metrics for multiclass deployments", "topics": [ "MulticlassDeploymentAccuracyMetric" ] }, { "page": "parseRFC3339Timestamp", "title": "parseRFC3339Timestamp", "concept": [ "API datetime functions" ], "topics": [ "parseRFC3339Timestamp" ] }, { "page": "PauseQueue", "title": "Pause the DataRobot modeling queue", "topics": [ "PauseQueue" ] }, { "page": "PeriodicityMaxTimeStep", "title": "Periodicity max time step", "topics": [ "PeriodicityMaxTimeStep" ] }, { "page": "PeriodicityTimeUnits", "title": "Periodicity time units", "topics": [ "PeriodicityTimeUnits" ] }, { "page": "plot.listOfModels", "title": "Plot method for DataRobot S3 objects of class listOfModels", "topics": [ "plot.listOfModels" ] }, { "page": "PostgreSQLdrivers", "title": "PostgreSQL drivers", "topics": [ "PostgreSQLdrivers" ] }, { "page": "Predict", "title": "Retrieve model predictions", "topics": [ "Predict" ] }, { "page": "predict.dataRobotModel", "title": "Retrieve model predictions using R's default S3 'predict' method.", "topics": [ "predict.dataRobotModel" ] }, { "page": "PredictionDatasetFromAsyncUrl", "title": "Retrieve prediction dataset info from the dataset creation URL", "topics": [ "PredictionDatasetFromAsyncUrl" ] }, { "page": "PrimeLanguage", "title": "Prime Language", "topics": [ "PrimeLanguage" ] }, { "page": "ProjectFromJobResponse", "title": "Retrieve a project from the job response, which has a project-creation URL", "topics": [ "ProjectFromJobResponse" ] }, { "page": "ProjectStage", "title": "Project stage", "topics": [ "ProjectStage" ] }, { "page": "RecommendedModelType", "title": "Recommended model type values", "topics": [ "RecommendedModelType" ] }, { "page": "ReformatMetrics", "title": "replace NULL in $metrics list elements with NA", "topics": [ "ReformatMetrics" ] }, { "page": "RegressionDeploymentAccuracyMetric", "title": "Accuracy metrics for regression deployments", "topics": [ "RegressionDeploymentAccuracyMetric" ] }, { "page": "RenameRatingTable", "title": "Renames a rating table to a different name.", "topics": [ "RenameRatingTable" ] }, { "page": "reorderColumns", "title": "Reorder the columns in a data.frame", "topics": [ "reorderColumns" ] }, { "page": "ReplaceDeployedModel", "title": "Replace a model in a deployment with another model.", "topics": [ "ReplaceDeployedModel" ] }, { "page": "RequestApproximation", "title": "Request an approximation of a model using DataRobot Prime", "topics": [ "RequestApproximation" ] }, { "page": "RequestBlender", "title": "Submit a job for creating blender model. Upon success, the new job will be added to the end of the queue.", "topics": [ "RequestBlender" ] }, { "page": "RequestCrossSeriesDetection", "title": "Format a cross series with group by columns.", "concept": [ "MultiSeriesProject functions" ], "topics": [ "RequestCrossSeriesDetection" ] }, { "page": "RequestFeatureImpact", "title": "Request Feature Impact to be computed.", "topics": [ "RequestFeatureImpact" ] }, { "page": "RequestFrozenDatetimeModel", "title": "Train a new frozen datetime model with parameters from the specified model", "topics": [ "RequestFrozenDatetimeModel" ] }, { "page": "RequestFrozenModel", "title": "Train a new frozen model with parameters from specified model", "topics": [ "RequestFrozenModel" ] }, { "page": "RequestMultiSeriesDetection", "title": "Format a multiseries.", "concept": [ "MultiSeriesProject functions" ], "topics": [ "RequestMultiSeriesDetection" ] }, { "page": "RequestNewDatetimeModel", "title": "Adds a new datetime model of the type specified by the blueprint to a DataRobot project", "topics": [ "RequestNewDatetimeModel" ] }, { "page": "RequestNewModel", "title": "Adds a new model of type specified by blueprint to a DataRobot project", "topics": [ "RequestNewModel" ] }, { "page": "RequestNewRatingTableModel", "title": "Create a new model from a rating table.", "topics": [ "RequestNewRatingTableModel" ] }, { "page": "RequestPredictionExplanations", "title": "Request prediction explanations computation for a specified model and dataset.", "topics": [ "RequestPredictionExplanations" ] }, { "page": "RequestPredictionExplanationsInitialization", "title": "Request prediction explanations initialization for specified model", "topics": [ "RequestPredictionExplanationsInitialization" ] }, { "page": "RequestPredictions", "title": "Request predictions from a model against a previously uploaded dataset", "topics": [ "RequestPredictions" ] }, { "page": "RequestPrimeModel", "title": "Request training for a DataRobot Prime model using a specified ruleset", "topics": [ "RequestPrimeModel" ] }, { "page": "RequestSampleSizeUpdate", "title": "Refits an existing model to a different fraction of the training dataset", "topics": [ "RequestSampleSizeUpdate" ] }, { "page": "RequestSeriesAccuracy", "title": "Compute the series accuracy for a model.", "topics": [ "RequestSeriesAccuracy" ] }, { "page": "RequestTrainingPredictions", "title": "Request training predictions for a specific model.", "topics": [ "RequestTrainingPredictions" ] }, { "page": "RequestTransferableModel", "title": "Request creation of a transferable model", "concept": [ "Transferable Model functions" ], "topics": [ "RequestTransferableModel" ] }, { "page": "RFC3339DateTimeFormat", "title": "RFC 3339 datetime format", "concept": [ "API datetime functions" ], "topics": [ "RFC3339DateTimeFormat" ] }, { "page": "RunInteractiveTuning", "title": "Run an interactive model tuning session.", "topics": [ "RunInteractiveTuning" ] }, { "page": "ScoreBacktests", "title": "Compute the scores for all available backtests.", "topics": [ "ScoreBacktests" ] }, { "page": "SegmentAnalysisAttribute", "title": "Segment analysis attributes", "topics": [ "SegmentAnalysisAttribute" ] }, { "page": "SeriesAggregationType", "title": "Series aggregation type", "topics": [ "SeriesAggregationType" ] }, { "page": "SetPredictionThreshold", "title": "Set a custom prediction threshold for binary classification models.", "topics": [ "SetPredictionThreshold" ] }, { "page": "SetTarget", "title": "Set the target variable (and by default, start the DataRobot Autopilot)", "topics": [ "SetTarget" ] }, { "page": "SetupProject", "title": "Function to set up a new DataRobot project", "topics": [ "SetupProject" ] }, { "page": "SetupProjectFromDataSource", "title": "Create a project from a data source.", "topics": [ "SetupProjectFromDataSource" ] }, { "page": "SetupProjectFromHDFS", "title": "Function to set up a new DataRobot project using datasource on a WebHDFS server (deprecated)", "topics": [ "SetupProjectFromHDFS" ] }, { "page": "Share", "title": "Share a shareable object with a particular user.", "topics": [ "Share" ] }, { "page": "SharingRole", "title": "Sharing role", "topics": [ "SharingRole" ] }, { "page": "SourceType", "title": "Source types", "topics": [ "SourceType" ] }, { "page": "StarModel", "title": "Star a model.", "topics": [ "StarModel" ] }, { "page": "StartNewAutoPilot", "title": "Starts autopilot on provided featurelist. Only one autopilot can be running at the time. That's why any ongoing autopilot on different featurelist will be halted - modeling jobs in queue would not be affected but new jobs would not be added to queue by halted autopilot.", "topics": [ "StartNewAutoPilot" ] }, { "page": "StartProject", "title": "Start a project, set the target, and run autopilot.", "topics": [ "StartProject" ] }, { "page": "StartRetryWaiter", "title": "Creates a waiter function that can be used in a loop while trying some task many times. The waiter sleeps while waiting to try again, with sleep times determined by exponential back-off.", "topics": [ "StartRetryWaiter" ] }, { "page": "StartTuningSession", "title": "Create a function to initiate hyperparameter tuning for a particular model.", "topics": [ "StartTuningSession" ] }, { "page": "Stringify", "title": "Convert a function into a single string for DataRobot", "topics": [ "Stringify" ] }, { "page": "SubmitActuals", "title": "Submit actuals for processing.", "concept": [ "deployment accuracy functions" ], "topics": [ "SubmitActuals" ] }, { "page": "summary.dataRobotModel", "title": "DataRobot S3 object methods for R's generic summary function", "topics": [ "summary.dataRobotModel", "summary.dataRobotProject", "summary.listOfBlueprints", "summary.listOfFeaturelists", "summary.listOfModels", "summary.projectSummaryList" ] }, { "page": "summary.listOfDataRobotTuningParameters", "title": "Summarize the list of tuning parameters available for a model.", "topics": [ "summary.listOfDataRobotTuningParameters" ] }, { "page": "TargetLeakageType", "title": "Target leakage report values", "topics": [ "TargetLeakageType" ] }, { "page": "TargetType", "title": "Target Type modes", "topics": [ "TargetType" ] }, { "page": "TestDataStore", "title": "Test the database connection to the data store.", "topics": [ "TestDataStore" ] }, { "page": "tidyServiceOverTimeObject", "title": "Tidies a ServiceOverTime response object for use in a DF", "topics": [ "tidyServiceOverTimeObject" ] }, { "page": "TimeUnits", "title": "Time units", "topics": [ "TimeUnits" ] }, { "page": "ToggleStarForModel", "title": "Star a model if it is unstarred, otherwise unstar the model.", "topics": [ "ToggleStarForModel" ] }, { "page": "transformRFC3339Period", "title": "The DataRobot Monitoring APIs return dates formatted as RFC 3339 strings. This is the same as ISO 8601. Specifically, 'T' is the date/time separator and 'Z' is used to denote UTC. Fractional seconds are returned. e.g. 2020-01-01T05:00:00.000000Z", "concept": [ "API datetime functions" ], "topics": [ "transformRFC3339Period" ] }, { "page": "TreatAsExponential", "title": "Treat as exponential", "topics": [ "TreatAsExponential" ] }, { "page": "TryingToSubmitNull", "title": "Checks to see if we are trying to submit `NULL` as a value.", "topics": [ "TryingToSubmitNull" ] }, { "page": "UnpauseQueue", "title": "Re-start the DataRobot modeling queue", "topics": [ "UnpauseQueue" ] }, { "page": "UnstarModel", "title": "Unstar a model.", "topics": [ "UnstarModel" ] }, { "page": "UpdateAccess", "title": "Update access to a particular object.", "topics": [ "UpdateAccess" ] }, { "page": "UpdateCalendar", "title": "Update a calendar", "topics": [ "UpdateCalendar" ] }, { "page": "UpdateComplianceDocTemplate", "title": "Update the name or sections of an existing doc template.", "topics": [ "UpdateComplianceDocTemplate" ] }, { "page": "UpdateDataSource", "title": "Update a data store.", "topics": [ "UpdateDataSource" ] }, { "page": "UpdateDataStore", "title": "Update a data store.", "topics": [ "UpdateDataStore" ] }, { "page": "UpdateDeploymentDriftTrackingSettings", "title": "Update drift tracking settings for a deployment.", "topics": [ "UpdateDeploymentDriftTrackingSettings" ] }, { "page": "UpdateFeaturelist", "title": "Update a featurelist", "topics": [ "UpdateFeaturelist" ] }, { "page": "UpdateModelingFeaturelist", "title": "Update a modeling featurelist", "topics": [ "UpdateModelingFeaturelist" ] }, { "page": "UpdateProject", "title": "Update parameters for an existing project", "topics": [ "UpdateProject" ] }, { "page": "UpdateTransferableModel", "title": "Update the display name or note for an imported model.", "concept": [ "Transferable Model functions" ], "topics": [ "UpdateTransferableModel" ] }, { "page": "UploadComplianceDocTemplate", "title": "Upload a compliance doc template.", "topics": [ "UploadComplianceDocTemplate" ] }, { "page": "UploadData", "title": "Upload a data source.", "topics": [ "UploadData" ] }, { "page": "UploadPredictionDataset", "title": "Function to upload new data to a DataRobot project for predictions", "topics": [ "UploadPredictionDataset" ] }, { "page": "UploadPredictionDatasetFromDataSource", "title": "Upload a prediction dataset from a data source.", "topics": [ "UploadPredictionDatasetFromDataSource" ] }, { "page": "UploadTransferableModel", "title": "Import a previously exported model for predictions.", "concept": [ "Transferable Model functions" ], "topics": [ "UploadTransferableModel" ] }, { "page": "ValidateActuals", "title": "Validate that the actuals are a dataframe and contain required columns.", "topics": [ "ValidateActuals" ] }, { "page": "ValidateCalendar", "title": "Get a calendar id from a calendar object.", "topics": [ "ValidateCalendar" ] }, { "page": "ValidateModel", "title": "Validate that model belongs to class 'dataRobotModel' and includes projectId and modelId.", "topics": [ "ValidateModel" ] }, { "page": "ValidateMultiSeriesProperties", "title": "Validate that the multiseries properties indicate a successful multiseries setup.", "topics": [ "ValidateMultiSeriesProperties" ] }, { "page": "ValidateParameterIn", "title": "Ensure a parameter is valid", "topics": [ "ValidateParameterIn" ] }, { "page": "ValidatePartition", "title": "Checks if a partition is valid.", "topics": [ "ValidatePartition" ] }, { "page": "ValidateProject", "title": "Get a projectId from a project object.", "topics": [ "ValidateProject" ] }, { "page": "ValidateReplaceDeployedModel", "title": "Validate a potential deployment model replacement.", "topics": [ "ValidateReplaceDeployedModel" ] }, { "page": "validateReportingPeriodTime", "title": "Helper function for validating reporting period objects used by the deployment monitoring functions. See 'GetDeploymentServiceStats', 'GetDeploymentAccuracy', 'GetDeploymentServiceStatsOverTime', and 'GetDeploymentAccuracyOverTime'.", "concept": [ "API datetime functions" ], "topics": [ "validateReportingPeriodTime" ] }, { "page": "VariableTransformTypes", "title": "Types of variable transformations", "topics": [ "VariableTransformTypes" ] }, { "page": "ViewWebModel", "title": "Retrieve a DataRobot web page that displays detailed model information", "topics": [ "ViewWebModel" ] }, { "page": "ViewWebProject", "title": "Retrieve a DataRobot web page that displays detailed project information", "topics": [ "ViewWebProject" ] }, { "page": "WaitForAutopilot", "title": "This function periodically checks whether Autopilot is finished and returns only after it is.", "topics": [ "WaitForAutopilot" ] }, { "page": "WaitForJobToComplete", "title": "Wait for specified job to complete", "topics": [ "WaitForJobToComplete" ] } ], "_rundeps": [ "askpass", "curl", "httr", "jsonlite", "mime", "openssl", "R6", "sys", "yaml" ], "_vignettes": [ { "source": "AdvancedVignette.Rmd", "filename": "AdvancedVignette.html", "title": "Introduction to Lift Chart, ROC Curve and Word Cloud", "author": "Peter Hurford, Thakur Raj Anand, Chester Ismay", "engine": "knitr::rmarkdown", "headings": [ "Connecting to DataRobot", "Data", "Lift Chart", "ROC Curve Data", "Threshold operations", "Word Cloud" ], "created": "2017-09-20 20:42:29", "modified": "2026-05-26 20:40:11", "commits": 10 }, { "source": "AdvancedTuning.Rmd", "filename": "AdvancedTuning.html", "title": "Advanced Tuning for Models", "author": "Peter Hurford", "engine": "knitr::rmarkdown", "headings": [ "Interactive Advanced Tuning Interface", "Get Data on Parameters Available for Tuning", "Programmatic Tuning Interface" ], "created": "2019-05-24 03:20:23", "modified": "2019-11-18 21:00:02", "commits": 2 }, { "source": "VariableImportance.Rmd", "filename": "VariableImportance.html", "title": "Assessing Variable Importance for Predictive Models of Arbitrary Type", "author": "Ron Pearson", "engine": "knitr::rmarkdown", "headings": [ "1. Introduction", "2. Permutation-based significance measures", "3. A simulation-based dataset", "4. Results for the simulation data", "5. Numerical importance measures", "6. Summary", "References" ], "created": "2016-05-17 01:06:50", "modified": "2022-04-12 22:52:29", "commits": 7 }, { "source": "ComplianceDocumentation.Rmd", "filename": "ComplianceDocumentation.html", "title": "Compliance Documentation", "author": "Peter Hurford", "engine": "knitr::rmarkdown", "headings": [ "Connect to DataRobot", "Download Compliance Documentation", "Creating a Custom Template", "The Default Template", "Updating the Default Template", "Creating Custom Compliance Documentation from Custom Template", "Keyword Tags" ], "created": "2019-07-22 03:20:04", "modified": "2020-02-22 04:50:07", "commits": 3 }, { "source": "DatetimePartitionedProjects.Rmd", "filename": "DatetimePartitionedProjects.html", "title": "Datetime Partitioning", "author": "Sergey Yurgenson, Madeleine Mott, Zach Mayer, Igor Veksler, Thakur Raj Anand", "engine": "knitr::rmarkdown", "headings": [ "Datetime Partitioning Background", "Load the useful libraries", "Running a DataRobot Project with a datetime partition", "Create Backtest Specifications", "Model Iteration" ], "created": "2017-04-16 06:15:36", "modified": "2020-07-01 11:00:19", "commits": 8 }, { "source": "PartialDependence.Rmd", "filename": "PartialDependence.html", "title": "Interpreting Predictive Models Using Partial Dependence Plots", "author": "Ron Pearson", "engine": "knitr::rmarkdown", "headings": [ "1. Introduction", "2. Example: compressive strength of concrete", "3. Partial dependence plots", "4. Results for the concrete models", "5. Summary", "References" ], "created": "2016-05-17 01:06:50", "modified": "2019-11-18 21:00:02", "commits": 7 }, { "source": "Deployment.Rmd", "filename": "Deployment.html", "title": "Introduction to Model Deployment", "author": "Peter Hurford", "engine": "knitr::rmarkdown", "headings": [ "Manage Deployments", "Create a Deployment", "List Deployments", "Retrieve a Deployment", "Delete a Deployment", "Model Replacement", "Validation", "Drift Tracking Setting" ], "created": "2020-02-22 04:50:07", "modified": "2020-02-22 04:50:07", "commits": 1 }, { "source": "Multiclass.Rmd", "filename": "Multiclass.html", "title": "Introduction to Multiclass", "author": "Peter Hurford", "engine": "knitr::rmarkdown", "headings": [ "Connect to DataRobot", "Creating a Multiclass Project", "Confusion Charts" ], "created": "2018-01-17 14:05:52", "modified": "2024-03-14 02:30:12", "commits": 5 }, { "source": "IntroductionToDataRobot.Rmd", "filename": "IntroductionToDataRobot.html", "title": "Introduction to the DataRobot R Package", "author": "Ron Pearson, Peter Hurford, Matt Harris", "engine": "knitr::rmarkdown", "headings": [ "The DataRobot modeling engine", "Connecting to DataRobot", "Creating a new project", "Offsets", "Exposure", "The Ames housing dataframe", "Retrieving project results", "Generating model predictions", "Feature Impact", "Summary" ], "created": "2016-05-17 01:06:50", "modified": "2023-08-07 21:30:43", "commits": 13 }, { "source": "TimeSeries.Rmd", "filename": "TimeSeries.html", "title": "Introduction to Time Series", "author": "Peter Hurford, Madeleine Mott", "engine": "knitr::rmarkdown", "headings": [ "Setting Up A Time Series Project", "Feature Derivation Window", "Forecast Window", "Modeling Data and Time Series Features", "Making Predictions", "Feature Settings", "Formatting Durations", "Multiseries", "Prediction Intervals", "Disabling Derived Features" ], "created": "2018-01-17 14:05:52", "modified": "2020-02-22 04:50:07", "commits": 10 }, { "source": "Calendars.Rmd", "filename": "Calendars.html", "title": "Introduction to Calendars", "author": "Peter Hurford", "engine": "knitr::rmarkdown", "headings": [ "Connect to DataRobot", "Creating Calendars", "Retrieving Calendars", "Modifying Calendars", "Making a Time Series Project using a Calendar", "Getting the Calendar Associated with a Project", "Getting the Projects Associated with a Calendar", "Sharing Projects with Others" ], "created": "2019-11-18 21:00:02", "modified": "2019-11-18 21:00:02", "commits": 1 }, { "source": "ComparingSubsets.Rmd", "filename": "ComparingSubsets.html", "title": "Using Many Models to Compare Datasets", "author": "Ron Pearson", "engine": "knitr::rmarkdown", "headings": [ "1. Introduction", "2. Example 1: missing data", "2.1 The Pima Indians diabetes dataset", "2.2 Is insulin systematically missing?", "2.3 Assessing variable importance", "3. Example 2: data anomaly characterization", "3.1 An Australian vehicle insurance dataset", "3.2 Characterizing the \"small loss\" records", "4. Summary", "References" ], "created": "2016-05-17 01:06:50", "modified": "2019-11-18 21:00:02", "commits": 5 }, { "source": "PredictionExplanations.Rmd", "filename": "PredictionExplanations.html", "title": "Introduction to Prediction Explanations", "author": "Peter Hurford, Colin Priest, Sergey Yurgenson, Thakur Raj Anand", "engine": "knitr::rmarkdown", "headings": [ "Introduction", "Load the useful libraries", "Connecting to DataRobot", "Data", "Divide data into train and test and setup the project", "Generating Model Predictions", "Calculate Prediction Explanations", "Adjusted Predictions in Prediction Explanations", "Summary" ], "created": "2019-05-24 03:20:23", "modified": "2023-08-07 21:30:43", "commits": 5 }, { "source": "RatingTables.Rmd", "filename": "RatingTables.html", "title": "Introduction to Rating Tables", "author": "Peter Hurford", "engine": "knitr::rmarkdown", "headings": [ "Connect to DataRobot", "Retrieving Rating Tables", "Downloading Rating Tables", "Modifying Rating Tables", "Making New GAMs from New Rating Tables" ], "created": "2018-01-17 14:05:52", "modified": "2019-01-12 04:30:03", "commits": 2 }, { "source": "TrainingPredictions.Rmd", "filename": "TrainingPredictions.html", "title": "Introduction to Training Predictions", "author": "Peter Hurford", "engine": "knitr::rmarkdown", "headings": [ "Retrieving Training Predictions", "Downloading Training Predictions" ], "created": "2018-01-17 14:05:52", "modified": "2019-05-24 03:20:23", "commits": 3 } ], "_score": 5.3222192947339195, "_indexed": true, "_nocasepkg": "datarobot", "_universes": [ "cran" ], "_previous": "2.18.7", "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "2.18.8", "date": "2026-05-26T23:16:45.000Z", "distro": "noble", "commit": "7bbec482920565bf20fcbcc02d4c8a30a6aa516f", "fileid": "3617505822cd3b335a658b8f56d6e8ceeba84398a2db48ea068b8bf357b9e395", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/26480412000" }, { "r": "4.6.0", "os": "linux", "version": "2.18.8", "date": "2026-05-26T23:16:46.000Z", "distro": "noble", "commit": "7bbec482920565bf20fcbcc02d4c8a30a6aa516f", "fileid": "37b6b661b6a64820dba1c38a38e6e93562f1e3c43ea7bbfaea7b7bdeca21f762", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/26480412000" }, { "r": "4.6.0", "os": "wasm", "version": "2.18.8", "date": "2026-05-26T23:17:04.000Z", "commit": "7bbec482920565bf20fcbcc02d4c8a30a6aa516f", "fileid": "801dc0ec31f9601fc118e733faf23ea38792d0ecd0e0f9eddd89090a2d68a838", "status": "success", "buildurl": "https://github.com/r-universe/cran/actions/runs/26480412000" } ] }