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Public preview R client v2.29

Now available for public preview, DataRobot has released version 2.29 of the R client. This version brings parity between the R client and version 2.29 of the Public API. As a result, it introduces significant changes to common methods and usage of the client. These changes are encapsulated in a new library (in addition to the datarobot library): datarobot.apicore, which provides auto-generated functions to access the Public API. The datarobot package provides a number of "API wrapper functions" around the apicore package to make it easier to use.

In addition to the release notes outlined below, reference the public preview documentation for an overview of the functions introduced with v2.29.

Feature overview

New API Functions:

  • Generated API wrapper functions are organized into categories based on their tags from the OpenAPI specification.
  • These functions use camel-cased argument names to be consistent with the rest of the package.
  • Most function names follow a VerbObject pattern based on the OpenAPI specification.
  • Some function names match "legacy" functions that existed in v2.18 of the R Client if they invoked the same underlying endpoint. For example, the wrapper function is called GetModel, not RetrieveProjectsModels, since the latter is what was implemented in the R client for the endpoint /projects/{mId}/models/{mId}.
  • Similarly, these functions use the same arguments as the corresponding "legacy" functions to ensure DataRobot does not break existing code that calls those functions.
  • Added the DownloadDatasetAsCsv function to retrieve dataset as CSV using catalogId.
  • Added the GetFeatureDiscoveryRelationships function to get the feature discovery relationships for a project.

Other new features:

  • The R client (both datarobot and datarobot.apicore packages) will output a warning when you attempt to access certain resources (projects, models, deployments, etc.) that are deprecated or disabled by the DataRobot platform migration to Python 3.
  • Added the helper function EditConfig that allows you to interactively modify drconfig.yaml.

Many prominent features introduced in datarobot.apicore are listed below.

Feature Method name
Visual AI image learning datarobot.apicore::ImagesApi
Location AI datarobot.apicore::InsightsApi
Data Quality Assessment datarobot::RetrieveModelingFeatures()
SHAP insights datarobot.apicore::InsightsApi
Segment analysis for service health datarobot::ListDeploymentSettings()
Model package replacement datarobot.apicore::DeploymentsApi$DeploymentsModelPatchMany()
Download Scoring Code from deployments datarobot::ListDeploymentsScoringCode()
Challenger Models datarobot::RetrieveDeploymentsChallengers()
Feature Discovery datarobot.apicore::ProjectsApi
Bias and Fairness datarobot::ListProjectsModelsFairnessInsights()
Prediction environments datarobot.apicore::DeploymentsApi
Visual AI image augmentation datarobot.apicore::ImagesApi
Batch prediction cloud connectors datarobot.apicore::PredictionsApi
Feature Discovery Snowflake integration datarobot.apicore::ProjectsApi
DataRobot Pipelines datarobot.apicore::DataConnectivityApi
Composable ML project linking and bulk training datarobot.apicore::BlueprintsApi, datarobot.apicore::CustomTasksApi
Clustering datarobot.apicore::InsightsApi
Multilabel classification datarobot.apicore::ProjectsApi, datarobot.apicore::InsightsApi
Continuous AI (automatic retraining) datarobot.apicore::DeploymentsApi
Bias Mitigation functionality datarobot.apicore::ModelsApi
“Uncensored” blueprints datarobot.apicore::BlueprintsApi
Scoring Code in Snowflake datarobot::ListDeploymentsScoringCode()
Segmented modeling for multiseries projects datarobot.apicore::ModelsApi
Time series data prep datarobot.apicore::AiCatalogApi
Scoring Code for time series datarobot.apicore::ModelsApi, datarobot.apicore::DeploymentsApi

Enhancements

  • The function RequestFeatureImpact now accepts a rowCount argument, which will change the sample size used for Feature Impact calculations.
  • The internal helper function ValidateModel was renamed to ValidateAndReturnModel and now works with model classes from the apicore package.
  • The quickrun argument has been removed from the function SetTarget. Set mode = AutopilotMode.Quick instead.
  • Removed files (code, tests, doc) representing parts of the Public API not present in v2.27-2.29.

Bugfixes

  • The enum ModelCapability has been properly exported.
  • Fixed FullAverageDataset function in the PartialDependence vignette to ignore NA when calculating the min and max of the data range.
  • Fixed RetrieveAutomatedDocuments function to accept filename argument that is used to specify where to save the automated document.
  • Fixed datarobot.apicore file upload functions to properly encode the payload as "multipart".
  • Fixed datarobot.apicore JSON serialization bugs.
  • Fixed tests exercising the BuildPath helper function.

Dependency changes

  • The datarobot package is now dependent on R >= 3.5 due to changes in the updated "Introduction to DataRobot" vignette.
  • Added dependency on AmesHousing package for updated "Introduction to DataRobot" vignette.
  • Removed dependency on MASS package.
  • Client documentation is now explicitly generated with Roxygen2 v7.2.1.

Documentation changes

  • Package-level documentation for both packages has been updated to explain how to use package options.
  • Updated "Introduction to DataRobot" vignette to use Ames, Iowa housing data instead of Boston, Massachusetts housing dataset.
  • Compressed extdata/Friedman1.csv and updated vignettes dependent on that dataset.
  • Removed extdata/anomFrame.csv as it was unused.

Deprecations and deletions

Review the breaking changes introduced in version 2.29:

  • The quickrun argument has been removed from the function SetTarget. Set mode = AutopilotMode.Quick instead.
  • The Transferable Models functions have been removed. Note that the underlying endpoints were also removed from the Public API with the removal of the Standalone Scoring Engine (SSE). The affected functions are listed below:

    • ListTransferableModels
    • GetTransferableModel
    • RequestTransferableModel
    • DownloadTransferableModel
    • UploadTransferableModel
    • UpdateTransferableModel
    • DeleteTransferableModel

Review the deprecations introduced in version 2.29:

  • Compliance Documentation API is deprecated. Instead use the Automated Documentation API.

Installation

The following sections outline how to install v2.29 of DataRobot's R client.

Prerequisites

Install the client's dependencies:

install.packages("jsonlite")
install.packages("httr")
install.packages("R6")

Install the package

library(remotes)
install_github("datarobot/rsdk", subdir = "datarobot.apicore", ref = github_release())
install_github("datarobot/rsdk", subdir = "datarobot", ref = github_release())

Usage

library(datarobot) # This will load the datarobot.apicore package as well

Configuration options

The datarobot.apicore package can be configured in the following ways with the following options (using getOption() and setOption()):

datarobot.apicore.returnS3 is a boolean that, if TRUE, will return all API responses to the caller as S3 objects. If FALSE, the responses are returned as R6 objects. The default configuration is TRUE.

To work with R6 objects, run the following snippet:

options('datarobot.apicore.returnS3 = FALSE')

Updated November 23, 2022
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