{
  "_id": "6a1037a0acfb0bcc41c9a80c",
  "Package": "azuremlsdk",
  "Type": "Package",
  "Title": "Interface to the 'Azure Machine Learning' 'SDK'",
  "Version": "1.10.0",
  "Authors@R": "c(\nperson(\"Diondra\", \"Peck\", email = \"Diondra.Peck@microsoft.com\", role = c(\"cre\", \"aut\")),\nperson(\"Minna\", \"Xiao\", email = \"Minna.Xiao@microsoft.com\", role = c(\"aut\")),\nperson(\"AzureML R SDK Team\", email = \"amlrsdk@microsoft.com\", role = c(\"ctb\")),\nperson(\"Microsoft\", role = c(\"cph\", \"fnd\")),\nperson(family = \"Google Inc.\", role = c(\"cph\"), comment = \"Examples and Tutorials\"),\nperson(family = \"The TensorFlow Authors\", role = c(\"cph\"), comment = \"Examples and Tutorials\"),\nperson(family = \"RStudio Inc.\", role = c(\"cph\"), comment = \"Examples and Tutorials\")\n)",
  "URL": "https://github.com/azure/azureml-sdk-for-r",
  "BugReports": "https://github.com/azure/azureml-sdk-for-r/issues",
  "Description": "Interface to the 'Azure Machine Learning' Software\nDevelopment Kit ('SDK'). Data scientists can use the 'SDK' to\ntrain, deploy, automate, and manage machine learning models on\nthe 'Azure Machine Learning' service. To learn more about\n'Azure Machine Learning' visit the website:\n<https://docs.microsoft.com/en-us/azure/machine-learning/service/overview-what-is-azure-ml>.",
  "Encoding": "UTF-8",
  "License": "MIT + file LICENSE",
  "RoxygenNote": "7.1.1",
  "VignetteBuilder": "knitr",
  "Config/pak/sysreqs": "cmake make libpng-dev libuv1-dev python3 zlib1g-dev",
  "Repository": "https://azure.r-universe.dev",
  "Date/Publication": "2022-09-14 16:35:20 UTC",
  "RemoteUrl": "https://github.com/azure/azureml-sdk-for-r",
  "RemoteRef": "HEAD",
  "RemoteSha": "19301e106c0cec69dac0931e98af7e3f713b7bf7",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-12 06:18:52 UTC",
    "User": "root"
  },
  "Author": "Diondra Peck [cre, aut],\nMinna Xiao [aut],\nAzureML R SDK Team [ctb],\nMicrosoft [cph, fnd],\nGoogle Inc. [cph] (Examples and Tutorials),\nThe TensorFlow Authors [cph] (Examples and Tutorials),\nRStudio Inc. [cph] (Examples and Tutorials)",
  "Maintainer": "Diondra Peck <Diondra.Peck@microsoft.com>",
  "MD5sum": "6240118e3d7372b9d4db6d8ed9365dd4",
  "_user": "azure",
  "_type": "src",
  "_file": "azuremlsdk_1.10.0.tar.gz",
  "_fileid": "77c5b204da082f40765570659d7ec4cca58124f3e20773dec9cddc0539b04f6f",
  "_filesize": 1008374,
  "_sha256": "77c5b204da082f40765570659d7ec4cca58124f3e20773dec9cddc0539b04f6f",
  "_created": "2026-05-12T06:18:52.000Z",
  "_published": "2026-05-22T11:01:52.500Z",
  "_distro": "noble",
  "_jobs": [
    {
      "job": 77366551868,
      "time": 167,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "NOTE",
      "artifact": "6937091260"
    },
    {
      "job": 77366551748,
      "time": 159,
      "config": "linux-release-x86_64",
      "r": "4.6.0",
      "check": "NOTE",
      "artifact": "6937089303"
    },
    {
      "job": 77366551766,
      "time": 107,
      "config": "macos-oldrel-arm64",
      "r": "4.5.3",
      "check": "NOTE",
      "artifact": "6937076696"
    },
    {
      "job": 77366551783,
      "time": 110,
      "config": "macos-release-arm64",
      "r": "4.6.0",
      "check": "NOTE",
      "artifact": "6937077483"
    },
    {
      "job": 77366550872,
      "time": 204,
      "config": "source",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "6937049634"
    },
    {
      "job": 77366550983,
      "time": 124,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7158920130"
    },
    {
      "job": 77366551567,
      "time": 125,
      "config": "windows-devel",
      "r": "4.7.0",
      "check": "NOTE",
      "artifact": "6937081609"
    },
    {
      "job": 77366551519,
      "time": 128,
      "config": "windows-oldrel",
      "r": "4.5.3",
      "check": "NOTE",
      "artifact": "6937081848"
    },
    {
      "job": 77366551896,
      "time": 130,
      "config": "windows-release",
      "r": "4.6.0",
      "check": "NOTE",
      "artifact": "6937082209"
    }
  ],
  "_buildurl": "https://github.com/r-universe/azure/actions/runs/25717046438",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/azure/azureml-sdk-for-r",
  "_commit": {
    "id": "19301e106c0cec69dac0931e98af7e3f713b7bf7",
    "author": "Diondra <16376603+diondrapeck@users.noreply.github.com>",
    "committer": "GitHub <noreply@github.com>",
    "message": "Update README.md",
    "time": 1663173320
  },
  "_maintainer": {
    "name": "Diondra Peck",
    "email": "diondra.peck@microsoft.com"
  },
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 3.5.0",
      "role": "Depends"
    },
    {
      "package": "ggplot2",
      "role": "Imports"
    },
    {
      "package": "reticulate",
      "version": ">= 1.12",
      "role": "Imports"
    },
    {
      "package": "plyr",
      "version": ">= 1.8",
      "role": "Imports"
    },
    {
      "package": "DT",
      "role": "Imports"
    },
    {
      "package": "rstudioapi",
      "version": ">= 0.7",
      "role": "Imports"
    },
    {
      "package": "htmltools",
      "role": "Imports"
    },
    {
      "package": "servr",
      "role": "Imports"
    },
    {
      "package": "shiny",
      "role": "Imports"
    },
    {
      "package": "shinycssloaders",
      "role": "Imports"
    },
    {
      "package": "rmarkdown",
      "role": "Suggests"
    },
    {
      "package": "knitr",
      "role": "Suggests"
    },
    {
      "package": "testthat",
      "role": "Suggests"
    },
    {
      "package": "dplyr",
      "role": "Suggests"
    },
    {
      "package": "jsonlite",
      "role": "Suggests"
    },
    {
      "package": "foreach",
      "role": "Suggests"
    },
    {
      "package": "iterators",
      "role": "Suggests"
    },
    {
      "package": "utils",
      "role": "Suggests"
    }
  ],
  "_owner": "azure",
  "_selfowned": true,
  "_usedby": 0,
  "_updates": [],
  "_tags": [],
  "_topics": [
    "amlcompute",
    "azure",
    "azure-machine-learning",
    "azureml",
    "dsi",
    "machine-learning",
    "rstudio",
    "sdk-r"
  ],
  "_stars": 104,
  "_contributors": [
    {
      "user": "ninghu",
      "count": 178,
      "uuid": 11171669
    },
    {
      "user": "diondrapeck",
      "count": 79,
      "uuid": 16376603
    },
    {
      "user": "mx-iao",
      "count": 60,
      "uuid": 33701412
    },
    {
      "user": "heemanshusuri",
      "count": 50,
      "uuid": 51678909
    },
    {
      "user": "abeomor",
      "count": 3,
      "uuid": 9068012
    },
    {
      "user": "revodavid",
      "count": 3,
      "uuid": 152948
    },
    {
      "user": "sdgilley",
      "count": 1,
      "uuid": 3650506
    }
  ],
  "_userbio": {
    "uuid": 6844498,
    "type": "organization",
    "name": "Microsoft Azure",
    "description": "APIs, SDKs and open source projects from Microsoft Azure"
  },
  "_downloads": {
    "count": 293,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/azuremlsdk"
  },
  "_devurl": "https://github.com/azure/azureml-sdk-for-r",
  "_searchresults": 230,
  "_rbuild": "4.6.0",
  "_assets": [
    "extra/azuremlsdk.html",
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/readme.html",
    "extra/readme.md",
    "manual.pdf"
  ],
  "_homeurl": "https://github.com/azure/azureml-sdk-for-r",
  "_realowner": "azure",
  "_cranurl": true,
  "_releases": [
    {
      "version": "0.5.7",
      "date": "2019-11-15"
    },
    {
      "version": "0.6.85",
      "date": "2020-02-06"
    },
    {
      "version": "1.10.0",
      "date": "2020-09-22"
    }
  ],
  "_exports": [
    "aci_webservice_deployment_config",
    "aks_webservice_deployment_config",
    "attach_aks_compute",
    "azureml",
    "bandit_policy",
    "bayesian_parameter_sampling",
    "cancel_run",
    "choice",
    "complete_run",
    "container_registry",
    "convert_to_dataset_with_csv_files",
    "convert_to_dataset_with_parquet_files",
    "cran_package",
    "create_aks_compute",
    "create_aml_compute",
    "create_child_run",
    "create_child_runs",
    "create_file_dataset_from_files",
    "create_tabular_dataset_from_delimited_files",
    "create_tabular_dataset_from_json_lines_files",
    "create_tabular_dataset_from_parquet_files",
    "create_tabular_dataset_from_sql_query",
    "create_workspace",
    "data_path",
    "data_type_bool",
    "data_type_datetime",
    "data_type_double",
    "data_type_long",
    "data_type_string",
    "dataset_consumption_config",
    "define_timestamp_columns_for_dataset",
    "delete_compute",
    "delete_local_webservice",
    "delete_model",
    "delete_secrets",
    "delete_webservice",
    "delete_workspace",
    "deploy_model",
    "detach_aks_compute",
    "download_file_from_run",
    "download_files_from_run",
    "download_from_datastore",
    "download_from_file_dataset",
    "download_model",
    "drop_columns_from_dataset",
    "estimator",
    "experiment",
    "filter_dataset_after_time",
    "filter_dataset_before_time",
    "filter_dataset_between_time",
    "filter_dataset_from_recent_time",
    "generate_new_webservice_key",
    "get_aks_compute_credentials",
    "get_best_run_by_primary_metric",
    "get_child_run_hyperparameters",
    "get_child_run_metrics",
    "get_child_runs",
    "get_child_runs_sorted_by_primary_metric",
    "get_compute",
    "get_current_run",
    "get_dataset_by_id",
    "get_dataset_by_name",
    "get_datastore",
    "get_default_datastore",
    "get_default_keyvault",
    "get_environment",
    "get_file_dataset_paths",
    "get_input_dataset_from_run",
    "get_model",
    "get_model_package_container_registry",
    "get_model_package_creation_logs",
    "get_run",
    "get_run_details",
    "get_run_details_with_logs",
    "get_run_file_names",
    "get_run_metrics",
    "get_runs_in_experiment",
    "get_secrets",
    "get_secrets_from_run",
    "get_webservice",
    "get_webservice_keys",
    "get_webservice_logs",
    "get_webservice_token",
    "get_workspace",
    "get_workspace_details",
    "github_package",
    "grid_parameter_sampling",
    "hyperdrive_config",
    "inference_config",
    "install_azureml",
    "interactive_login_authentication",
    "invoke_webservice",
    "keep_columns_from_dataset",
    "list_nodes_in_aml_compute",
    "list_secrets",
    "list_supported_vm_sizes",
    "list_workspaces",
    "load_dataset_into_data_frame",
    "load_workspace_from_config",
    "local_webservice_deployment_config",
    "log_accuracy_table_to_run",
    "log_confusion_matrix_to_run",
    "log_image_to_run",
    "log_list_to_run",
    "log_metric_to_run",
    "log_predictions_to_run",
    "log_residuals_to_run",
    "log_row_to_run",
    "log_table_to_run",
    "lognormal",
    "loguniform",
    "median_stopping_policy",
    "mount_file_dataset",
    "normal",
    "package_model",
    "plot_run_details",
    "primary_metric_goal",
    "promote_headers_behavior",
    "pull_model_package_image",
    "qlognormal",
    "qloguniform",
    "qnormal",
    "quniform",
    "r_environment",
    "randint",
    "random_parameter_sampling",
    "random_split_dataset",
    "register_azure_blob_container_datastore",
    "register_azure_file_share_datastore",
    "register_azure_postgre_sql_datastore",
    "register_azure_sql_database_datastore",
    "register_dataset",
    "register_environment",
    "register_model",
    "register_model_from_run",
    "reload_local_webservice_assets",
    "resource_configuration",
    "save_model_package_files",
    "service_principal_authentication",
    "set_default_datastore",
    "set_secrets",
    "skip_from_dataset",
    "start_logging_run",
    "submit_experiment",
    "take_from_dataset",
    "take_sample_from_dataset",
    "truncation_selection_policy",
    "uniform",
    "unregister_all_dataset_versions",
    "unregister_datastore",
    "update_aci_webservice",
    "update_aks_webservice",
    "update_aml_compute",
    "update_local_webservice",
    "upload_files_to_datastore",
    "upload_files_to_run",
    "upload_folder_to_run",
    "upload_to_datastore",
    "wait_for_deployment",
    "wait_for_model_package_creation",
    "wait_for_provisioning_completion",
    "wait_for_run_completion",
    "write_workspace_config"
  ],
  "_help": [
    {
      "page": "aci_webservice_deployment_config",
      "title": "Create a deployment config for deploying an ACI web service",
      "topics": [
        "aci_webservice_deployment_config"
      ]
    },
    {
      "page": "aks_webservice_deployment_config",
      "title": "Create a deployment config for deploying an AKS web service",
      "topics": [
        "aks_webservice_deployment_config"
      ]
    },
    {
      "page": "attach_aks_compute",
      "title": "Attach an existing AKS cluster to a workspace",
      "topics": [
        "attach_aks_compute"
      ]
    },
    {
      "page": "azureml",
      "title": "azureml module User can access functions/modules in azureml that are not exposed through the exported R functions.",
      "topics": [
        "azureml"
      ]
    },
    {
      "page": "bandit_policy",
      "title": "Define a Bandit policy for early termination of HyperDrive runs",
      "topics": [
        "bandit_policy"
      ]
    },
    {
      "page": "bayesian_parameter_sampling",
      "title": "Define Bayesian sampling over a hyperparameter search space",
      "topics": [
        "bayesian_parameter_sampling"
      ]
    },
    {
      "page": "cancel_run",
      "title": "Cancel a run",
      "topics": [
        "cancel_run"
      ]
    },
    {
      "page": "choice",
      "title": "Specify a discrete set of options to sample from",
      "topics": [
        "choice"
      ]
    },
    {
      "page": "complete_run",
      "title": "Mark a run as completed.",
      "topics": [
        "complete_run"
      ]
    },
    {
      "page": "container_registry",
      "title": "Specify Azure Container Registry details",
      "topics": [
        "container_registry"
      ]
    },
    {
      "page": "convert_to_dataset_with_csv_files",
      "title": "Convert the current dataset into a FileDataset containing CSV files.",
      "topics": [
        "convert_to_dataset_with_csv_files"
      ]
    },
    {
      "page": "convert_to_dataset_with_parquet_files",
      "title": "Convert the current dataset into a FileDataset containing Parquet files.",
      "topics": [
        "convert_to_dataset_with_parquet_files"
      ]
    },
    {
      "page": "cran_package",
      "title": "Specifies a CRAN package to install in environment",
      "topics": [
        "cran_package"
      ]
    },
    {
      "page": "create_aks_compute",
      "title": "Create an AksCompute cluster",
      "topics": [
        "create_aks_compute"
      ]
    },
    {
      "page": "create_aml_compute",
      "title": "Create an AmlCompute cluster",
      "topics": [
        "create_aml_compute"
      ]
    },
    {
      "page": "create_child_run",
      "title": "Create a child run",
      "topics": [
        "create_child_run"
      ]
    },
    {
      "page": "create_child_runs",
      "title": "Create one or many child runs",
      "topics": [
        "create_child_runs"
      ]
    },
    {
      "page": "create_file_dataset_from_files",
      "title": "Create a FileDataset to represent file streams.",
      "topics": [
        "create_file_dataset_from_files"
      ]
    },
    {
      "page": "create_tabular_dataset_from_delimited_files",
      "title": "Create an unregistered, in-memory Dataset from delimited files.",
      "topics": [
        "create_tabular_dataset_from_delimited_files"
      ]
    },
    {
      "page": "create_tabular_dataset_from_json_lines_files",
      "title": "Create a TabularDataset to represent tabular data in JSON Lines files (http://jsonlines.org/).",
      "topics": [
        "create_tabular_dataset_from_json_lines_files"
      ]
    },
    {
      "page": "create_tabular_dataset_from_parquet_files",
      "title": "Create an unregistered, in-memory Dataset from parquet files.",
      "topics": [
        "create_tabular_dataset_from_parquet_files"
      ]
    },
    {
      "page": "create_tabular_dataset_from_sql_query",
      "title": "Create a TabularDataset to represent tabular data in SQL databases.",
      "topics": [
        "create_tabular_dataset_from_sql_query"
      ]
    },
    {
      "page": "create_workspace",
      "title": "Create a new Azure Machine Learning workspace",
      "topics": [
        "create_workspace"
      ]
    },
    {
      "page": "data_path",
      "title": "Represents a path to data in a datastore.",
      "topics": [
        "data_path"
      ]
    },
    {
      "page": "data_type_bool",
      "title": "Configure conversion to bool.",
      "topics": [
        "data_type_bool"
      ]
    },
    {
      "page": "data_type_datetime",
      "title": "Configure conversion to datetime.",
      "topics": [
        "data_type_datetime"
      ]
    },
    {
      "page": "data_type_double",
      "title": "Configure conversion to 53-bit double.",
      "topics": [
        "data_type_double"
      ]
    },
    {
      "page": "data_type_long",
      "title": "Configure conversion to 64-bit integer.",
      "topics": [
        "data_type_long"
      ]
    },
    {
      "page": "data_type_string",
      "title": "Configure conversion to string.",
      "topics": [
        "data_type_string"
      ]
    },
    {
      "page": "dataset_consumption_config",
      "title": "Represent how to deliver the dataset to a compute target.",
      "topics": [
        "dataset_consumption_config"
      ]
    },
    {
      "page": "define_timestamp_columns_for_dataset",
      "title": "Define timestamp columns for the dataset.",
      "topics": [
        "define_timestamp_columns_for_dataset"
      ]
    },
    {
      "page": "delete_compute",
      "title": "Delete a cluster",
      "topics": [
        "delete_compute"
      ]
    },
    {
      "page": "delete_local_webservice",
      "title": "Delete a local web service from the local machine",
      "topics": [
        "delete_local_webservice"
      ]
    },
    {
      "page": "delete_model",
      "title": "Delete a model from its associated workspace",
      "topics": [
        "delete_model"
      ]
    },
    {
      "page": "delete_secrets",
      "title": "Delete secrets from a keyvault",
      "topics": [
        "delete_secrets"
      ]
    },
    {
      "page": "delete_webservice",
      "title": "Delete a web service from a given workspace",
      "topics": [
        "delete_webservice"
      ]
    },
    {
      "page": "delete_workspace",
      "title": "Delete a workspace",
      "topics": [
        "delete_workspace"
      ]
    },
    {
      "page": "deploy_model",
      "title": "Deploy a web service from registered model(s)",
      "topics": [
        "deploy_model"
      ]
    },
    {
      "page": "detach_aks_compute",
      "title": "Detach an AksCompute cluster from its associated workspace",
      "topics": [
        "detach_aks_compute"
      ]
    },
    {
      "page": "download_file_from_run",
      "title": "Download a file from a run",
      "topics": [
        "download_file_from_run"
      ]
    },
    {
      "page": "download_files_from_run",
      "title": "Download files from a run",
      "topics": [
        "download_files_from_run"
      ]
    },
    {
      "page": "download_from_datastore",
      "title": "Download data from a datastore to the local file system",
      "topics": [
        "download_from_datastore"
      ]
    },
    {
      "page": "download_from_file_dataset",
      "title": "Download file streams defined by the dataset as local files.",
      "topics": [
        "download_from_file_dataset"
      ]
    },
    {
      "page": "download_model",
      "title": "Download a model to the local file system",
      "topics": [
        "download_model"
      ]
    },
    {
      "page": "drop_columns_from_dataset",
      "title": "Drop the specified columns from the dataset.",
      "topics": [
        "drop_columns_from_dataset"
      ]
    },
    {
      "page": "estimator",
      "title": "Create an estimator",
      "topics": [
        "estimator"
      ]
    },
    {
      "page": "experiment",
      "title": "Create an Azure Machine Learning experiment",
      "topics": [
        "experiment"
      ]
    },
    {
      "page": "filter_dataset_after_time",
      "title": "Filter Tabular Dataset with time stamp columns after a specified start time.",
      "topics": [
        "filter_dataset_after_time"
      ]
    },
    {
      "page": "filter_dataset_before_time",
      "title": "Filter Tabular Dataset with time stamp columns before a specified end time.",
      "topics": [
        "filter_dataset_before_time"
      ]
    },
    {
      "page": "filter_dataset_between_time",
      "title": "Filter Tabular Dataset between a specified start and end time.",
      "topics": [
        "filter_dataset_between_time"
      ]
    },
    {
      "page": "filter_dataset_from_recent_time",
      "title": "Filter Tabular Dataset to contain only the specified duration (amount) of recent data.",
      "topics": [
        "filter_dataset_from_recent_time"
      ]
    },
    {
      "page": "generate_entry_script",
      "title": "Generates the control script for the experiment.",
      "topics": [
        "generate_entry_script"
      ]
    },
    {
      "page": "generate_new_webservice_key",
      "title": "Regenerate one of a web service's keys",
      "topics": [
        "generate_new_webservice_key"
      ]
    },
    {
      "page": "get_aks_compute_credentials",
      "title": "Get the credentials for an AksCompute cluster",
      "topics": [
        "get_aks_compute_credentials"
      ]
    },
    {
      "page": "get_best_run_by_primary_metric",
      "title": "Return the best performing run amongst all completed runs",
      "topics": [
        "get_best_run_by_primary_metric"
      ]
    },
    {
      "page": "get_child_run_hyperparameters",
      "title": "Get the hyperparameters for all child runs",
      "topics": [
        "get_child_run_hyperparameters"
      ]
    },
    {
      "page": "get_child_run_metrics",
      "title": "Get the metrics from all child runs",
      "topics": [
        "get_child_run_metrics"
      ]
    },
    {
      "page": "get_child_runs",
      "title": "Get all children for the current run selected by specified filters",
      "topics": [
        "get_child_runs"
      ]
    },
    {
      "page": "get_child_runs_sorted_by_primary_metric",
      "title": "Get the child runs sorted in descending order by best primary metric",
      "topics": [
        "get_child_runs_sorted_by_primary_metric"
      ]
    },
    {
      "page": "get_compute",
      "title": "Get an existing compute cluster",
      "topics": [
        "get_compute"
      ]
    },
    {
      "page": "get_current_run",
      "title": "Get the context object for a run",
      "topics": [
        "get_current_run"
      ]
    },
    {
      "page": "get_dataset_by_id",
      "title": "Get Dataset by ID.",
      "topics": [
        "get_dataset_by_id"
      ]
    },
    {
      "page": "get_dataset_by_name",
      "title": "Get a registered Dataset from the workspace by its registration name.",
      "topics": [
        "get_dataset_by_name"
      ]
    },
    {
      "page": "get_datastore",
      "title": "Get an existing datastore",
      "topics": [
        "get_datastore"
      ]
    },
    {
      "page": "get_default_datastore",
      "title": "Get the default datastore for a workspace",
      "topics": [
        "get_default_datastore"
      ]
    },
    {
      "page": "get_default_keyvault",
      "title": "Get the default keyvault for a workspace",
      "topics": [
        "get_default_keyvault"
      ]
    },
    {
      "page": "get_environment",
      "title": "Get an existing environment",
      "topics": [
        "get_environment"
      ]
    },
    {
      "page": "get_file_dataset_paths",
      "title": "Get a list of file paths for each file stream defined by the dataset.",
      "topics": [
        "get_file_dataset_paths"
      ]
    },
    {
      "page": "get_input_dataset_from_run",
      "title": "Return the named list for input datasets.",
      "topics": [
        "get_input_dataset_from_run"
      ]
    },
    {
      "page": "get_model",
      "title": "Get a registered model",
      "topics": [
        "get_model"
      ]
    },
    {
      "page": "get_model_package_container_registry",
      "title": "Get the Azure container registry that a packaged model uses",
      "topics": [
        "get_model_package_container_registry"
      ]
    },
    {
      "page": "get_model_package_creation_logs",
      "title": "Get the model package creation logs",
      "topics": [
        "get_model_package_creation_logs"
      ]
    },
    {
      "page": "get_run",
      "title": "Get an experiment run",
      "topics": [
        "get_run"
      ]
    },
    {
      "page": "get_run_details",
      "title": "Get the details of a run",
      "topics": [
        "get_run_details"
      ]
    },
    {
      "page": "get_run_details_with_logs",
      "title": "Get the details of a run along with the log files' contents",
      "topics": [
        "get_run_details_with_logs"
      ]
    },
    {
      "page": "get_run_file_names",
      "title": "List the files that are stored in association with a run",
      "topics": [
        "get_run_file_names"
      ]
    },
    {
      "page": "get_run_metrics",
      "title": "Get the metrics logged to a run",
      "topics": [
        "get_run_metrics"
      ]
    },
    {
      "page": "get_runs_in_experiment",
      "title": "Return a generator of the runs for an experiment",
      "topics": [
        "get_runs_in_experiment"
      ]
    },
    {
      "page": "get_secrets",
      "title": "Get secrets from a keyvault",
      "topics": [
        "get_secrets"
      ]
    },
    {
      "page": "get_secrets_from_run",
      "title": "Get secrets from the keyvault associated with a run's workspace",
      "topics": [
        "get_secrets_from_run"
      ]
    },
    {
      "page": "get_webservice",
      "title": "Get a deployed web service",
      "topics": [
        "get_webservice"
      ]
    },
    {
      "page": "get_webservice_keys",
      "title": "Retrieve auth keys for a web service",
      "topics": [
        "get_webservice_keys"
      ]
    },
    {
      "page": "get_webservice_logs",
      "title": "Retrieve the logs for a web service",
      "topics": [
        "get_webservice_logs"
      ]
    },
    {
      "page": "get_webservice_token",
      "title": "Retrieve the auth token for a web service",
      "topics": [
        "get_webservice_token"
      ]
    },
    {
      "page": "get_workspace",
      "title": "Get an existing workspace",
      "topics": [
        "get_workspace"
      ]
    },
    {
      "page": "get_workspace_details",
      "title": "Get the details of a workspace",
      "topics": [
        "get_workspace_details"
      ]
    },
    {
      "page": "github_package",
      "title": "Specifies a Github package to install in environment",
      "topics": [
        "github_package"
      ]
    },
    {
      "page": "grid_parameter_sampling",
      "title": "Define grid sampling over a hyperparameter search space",
      "topics": [
        "grid_parameter_sampling"
      ]
    },
    {
      "page": "hyperdrive_config",
      "title": "Create a configuration for a HyperDrive run",
      "topics": [
        "hyperdrive_config"
      ]
    },
    {
      "page": "inference_config",
      "title": "Create an inference configuration for model deployments",
      "topics": [
        "inference_config"
      ]
    },
    {
      "page": "install_azureml",
      "title": "Install azureml sdk package",
      "topics": [
        "install_azureml"
      ]
    },
    {
      "page": "interactive_login_authentication",
      "title": "Manages authentication and acquires an authorization token in interactive login workflows.",
      "topics": [
        "interactive_login_authentication"
      ]
    },
    {
      "page": "invoke_webservice",
      "title": "Call a web service with the provided input",
      "topics": [
        "invoke_webservice"
      ]
    },
    {
      "page": "keep_columns_from_dataset",
      "title": "Keep the specified columns and drops all others from the dataset.",
      "topics": [
        "keep_columns_from_dataset"
      ]
    },
    {
      "page": "list_nodes_in_aml_compute",
      "title": "Get the details (e.g IP address, port etc) of all the compute nodes in the compute target",
      "topics": [
        "list_nodes_in_aml_compute"
      ]
    },
    {
      "page": "list_secrets",
      "title": "List the secrets in a keyvault",
      "topics": [
        "list_secrets"
      ]
    },
    {
      "page": "list_supported_vm_sizes",
      "title": "List the supported VM sizes in a region",
      "topics": [
        "list_supported_vm_sizes"
      ]
    },
    {
      "page": "list_workspaces",
      "title": "List all workspaces that the user has access to in a subscription ID",
      "topics": [
        "list_workspaces"
      ]
    },
    {
      "page": "load_dataset_into_data_frame",
      "title": "Load all records from the dataset into a dataframe.",
      "topics": [
        "load_dataset_into_data_frame"
      ]
    },
    {
      "page": "load_workspace_from_config",
      "title": "Load workspace configuration details from a config file",
      "topics": [
        "load_workspace_from_config"
      ]
    },
    {
      "page": "local_webservice_deployment_config",
      "title": "Create a deployment config for deploying a local web service",
      "topics": [
        "local_webservice_deployment_config"
      ]
    },
    {
      "page": "log_accuracy_table_to_run",
      "title": "Log an accuracy table metric to a run",
      "topics": [
        "log_accuracy_table_to_run"
      ]
    },
    {
      "page": "log_confusion_matrix_to_run",
      "title": "Log a confusion matrix metric to a run",
      "topics": [
        "log_confusion_matrix_to_run"
      ]
    },
    {
      "page": "log_image_to_run",
      "title": "Log an image metric to a run",
      "topics": [
        "log_image_to_run"
      ]
    },
    {
      "page": "log_list_to_run",
      "title": "Log a vector metric value to a run",
      "topics": [
        "log_list_to_run"
      ]
    },
    {
      "page": "log_metric_to_run",
      "title": "Log a metric to a run",
      "topics": [
        "log_metric_to_run"
      ]
    },
    {
      "page": "log_predictions_to_run",
      "title": "Log a predictions metric to a run",
      "topics": [
        "log_predictions_to_run"
      ]
    },
    {
      "page": "log_residuals_to_run",
      "title": "Log a residuals metric to a run",
      "topics": [
        "log_residuals_to_run"
      ]
    },
    {
      "page": "log_row_to_run",
      "title": "Log a row metric to a run",
      "topics": [
        "log_row_to_run"
      ]
    },
    {
      "page": "log_table_to_run",
      "title": "Log a table metric to a run",
      "topics": [
        "log_table_to_run"
      ]
    },
    {
      "page": "lognormal",
      "title": "Specify a normal distribution of the form 'exp(normal(mu, sigma))'",
      "topics": [
        "lognormal"
      ]
    },
    {
      "page": "loguniform",
      "title": "Specify a log uniform distribution",
      "topics": [
        "loguniform"
      ]
    },
    {
      "page": "median_stopping_policy",
      "title": "Define a median stopping policy for early termination of HyperDrive runs",
      "topics": [
        "median_stopping_policy"
      ]
    },
    {
      "page": "merge_results",
      "title": "Combine the results from the parallel training.",
      "topics": [
        "merge_results"
      ]
    },
    {
      "page": "mount_file_dataset",
      "title": "Create a context manager for mounting file streams defined by the dataset as local files.",
      "topics": [
        "mount_file_dataset"
      ]
    },
    {
      "page": "normal",
      "title": "Specify a real value that is normally-distributed with mean 'mu' and standard deviation 'sigma'",
      "topics": [
        "normal"
      ]
    },
    {
      "page": "package_model",
      "title": "Create a model package that packages all the assets needed to host a model as a web service",
      "topics": [
        "package_model"
      ]
    },
    {
      "page": "plot_run_details",
      "title": "Generate table of run details",
      "topics": [
        "plot_run_details"
      ]
    },
    {
      "page": "primary_metric_goal",
      "title": "Define supported metric goals for hyperparameter tuning",
      "topics": [
        "primary_metric_goal"
      ]
    },
    {
      "page": "promote_headers_behavior",
      "title": "Defines options for how column headers are processed when reading data from files to create a dataset.",
      "topics": [
        "promote_headers_behavior"
      ]
    },
    {
      "page": "pull_model_package_image",
      "title": "Pull the Docker image from a 'ModelPackage' to your local Docker environment",
      "topics": [
        "pull_model_package_image"
      ]
    },
    {
      "page": "qlognormal",
      "title": "Specify a normal distribution of the form 'round(exp(normal(mu, sigma)) / q) * q'",
      "topics": [
        "qlognormal"
      ]
    },
    {
      "page": "qloguniform",
      "title": "Specify a uniform distribution of the form round(exp(uniform(min_value, max_value) / q) * q",
      "topics": [
        "qloguniform"
      ]
    },
    {
      "page": "qnormal",
      "title": "Specify a normal distribution of the form round(normal(mu, sigma) / q) * q",
      "topics": [
        "qnormal"
      ]
    },
    {
      "page": "quniform",
      "title": "Specify a uniform distribution of the form 'round(uniform(min_value, max_value) / q) * q'",
      "topics": [
        "quniform"
      ]
    },
    {
      "page": "r_environment",
      "title": "Create an environment",
      "topics": [
        "r_environment"
      ]
    },
    {
      "page": "randint",
      "title": "Specify a set of random integers in the range [0, upper)",
      "topics": [
        "randint"
      ]
    },
    {
      "page": "random_parameter_sampling",
      "title": "Define random sampling over a hyperparameter search space",
      "topics": [
        "random_parameter_sampling"
      ]
    },
    {
      "page": "random_split_dataset",
      "title": "Split file streams in the dataset into two parts randomly and approximately by the percentage specified.",
      "topics": [
        "random_split_dataset"
      ]
    },
    {
      "page": "register_azure_blob_container_datastore",
      "title": "Register an Azure blob container as a datastore",
      "topics": [
        "register_azure_blob_container_datastore"
      ]
    },
    {
      "page": "register_azure_data_lake_gen2_datastore",
      "title": "Initialize a new Azure Data Lake Gen2 Datastore.",
      "topics": [
        "register_azure_data_lake_gen2_datastore"
      ]
    },
    {
      "page": "register_azure_file_share_datastore",
      "title": "Register an Azure file share as a datastore",
      "topics": [
        "register_azure_file_share_datastore"
      ]
    },
    {
      "page": "register_azure_postgre_sql_datastore",
      "title": "Initialize a new Azure PostgreSQL Datastore.",
      "topics": [
        "register_azure_postgre_sql_datastore"
      ]
    },
    {
      "page": "register_azure_sql_database_datastore",
      "title": "Initialize a new Azure SQL database Datastore.",
      "topics": [
        "register_azure_sql_database_datastore"
      ]
    },
    {
      "page": "register_dataset",
      "title": "Register a Dataset in the workspace",
      "topics": [
        "register_dataset"
      ]
    },
    {
      "page": "register_do_azureml_parallel",
      "title": "Registers AMLCompute as a parallel backend with the foreach package.",
      "topics": [
        "register_do_azureml_parallel"
      ]
    },
    {
      "page": "register_environment",
      "title": "Register an environment in the workspace",
      "topics": [
        "register_environment"
      ]
    },
    {
      "page": "register_model",
      "title": "Register a model to a given workspace",
      "topics": [
        "register_model"
      ]
    },
    {
      "page": "register_model_from_run",
      "title": "Register a model for operationalization.",
      "topics": [
        "register_model_from_run"
      ]
    },
    {
      "page": "reload_local_webservice_assets",
      "title": "Reload a local web service's entry script and dependencies",
      "topics": [
        "reload_local_webservice_assets"
      ]
    },
    {
      "page": "resource_configuration",
      "title": "Initialize the ResourceConfiguration.",
      "topics": [
        "resource_configuration"
      ]
    },
    {
      "page": "save_model_package_files",
      "title": "Save a Dockerfile and dependencies from a 'ModelPackage' to your local file system",
      "topics": [
        "save_model_package_files"
      ]
    },
    {
      "page": "service_principal_authentication",
      "title": "Manages authentication using a service principle instead of a user identity.",
      "topics": [
        "service_principal_authentication"
      ]
    },
    {
      "page": "set_default_datastore",
      "title": "Set the default datastore for a workspace",
      "topics": [
        "set_default_datastore"
      ]
    },
    {
      "page": "set_secrets",
      "title": "Add secrets to a keyvault",
      "topics": [
        "set_secrets"
      ]
    },
    {
      "page": "skip_from_dataset",
      "title": "Skip file streams from the top of the dataset by the specified count.",
      "topics": [
        "skip_from_dataset"
      ]
    },
    {
      "page": "split_tasks",
      "title": "Splits the job into parallel tasks.",
      "topics": [
        "split_tasks"
      ]
    },
    {
      "page": "start_logging_run",
      "title": "Create an interactive logging run",
      "topics": [
        "start_logging_run"
      ]
    },
    {
      "page": "submit_child_run",
      "title": "Submit an experiment and return the active child run",
      "topics": [
        "submit_child_run"
      ]
    },
    {
      "page": "submit_experiment",
      "title": "Submit an experiment and return the active created run",
      "topics": [
        "submit_experiment"
      ]
    },
    {
      "page": "take_from_dataset",
      "title": "Take a sample of file streams from top of the dataset by the specified count.",
      "topics": [
        "take_from_dataset"
      ]
    },
    {
      "page": "take_sample_from_dataset",
      "title": "Take a random sample of file streams in the dataset approximately by the probability specified.",
      "topics": [
        "take_sample_from_dataset"
      ]
    },
    {
      "page": "truncation_selection_policy",
      "title": "Define a truncation selection policy for early termination of HyperDrive runs",
      "topics": [
        "truncation_selection_policy"
      ]
    },
    {
      "page": "uniform",
      "title": "Specify a uniform distribution of options to sample from",
      "topics": [
        "uniform"
      ]
    },
    {
      "page": "unregister_all_dataset_versions",
      "title": "Unregister all versions under the registration name of this dataset from the workspace.",
      "topics": [
        "unregister_all_dataset_versions"
      ]
    },
    {
      "page": "unregister_datastore",
      "title": "Unregister a datastore from its associated workspace",
      "topics": [
        "unregister_datastore"
      ]
    },
    {
      "page": "update_aci_webservice",
      "title": "Update a deployed ACI web service",
      "topics": [
        "update_aci_webservice"
      ]
    },
    {
      "page": "update_aks_webservice",
      "title": "Update a deployed AKS web service",
      "topics": [
        "update_aks_webservice"
      ]
    },
    {
      "page": "update_aml_compute",
      "title": "Update scale settings for an AmlCompute cluster",
      "topics": [
        "update_aml_compute"
      ]
    },
    {
      "page": "update_local_webservice",
      "title": "Update a local web service",
      "topics": [
        "update_local_webservice"
      ]
    },
    {
      "page": "upload_files_to_datastore",
      "title": "Upload files to the Azure storage a datastore points to",
      "topics": [
        "upload_files_to_datastore"
      ]
    },
    {
      "page": "upload_files_to_run",
      "title": "Upload files to a run",
      "topics": [
        "upload_files_to_run"
      ]
    },
    {
      "page": "upload_folder_to_run",
      "title": "Upload a folder to a run",
      "topics": [
        "upload_folder_to_run"
      ]
    },
    {
      "page": "upload_to_datastore",
      "title": "Upload a local directory to the Azure storage a datastore points to",
      "topics": [
        "upload_to_datastore"
      ]
    },
    {
      "page": "wait_for_deployment",
      "title": "Wait for a web service to finish deploying",
      "topics": [
        "wait_for_deployment"
      ]
    },
    {
      "page": "wait_for_model_package_creation",
      "title": "Wait for a model package to finish creating",
      "topics": [
        "wait_for_model_package_creation"
      ]
    },
    {
      "page": "wait_for_provisioning_completion",
      "title": "Wait for a cluster to finish provisioning",
      "topics": [
        "wait_for_provisioning_completion"
      ]
    },
    {
      "page": "wait_for_run_completion",
      "title": "Wait for the completion of a run",
      "topics": [
        "wait_for_run_completion"
      ]
    },
    {
      "page": "write_workspace_config",
      "title": "Write out the workspace configuration details to a config file",
      "topics": [
        "write_workspace_config"
      ]
    }
  ],
  "_readme": "https://github.com/azure/azureml-sdk-for-r/raw/HEAD/README.md",
  "_rundeps": [
    "base64enc",
    "bslib",
    "cachem",
    "cli",
    "commonmark",
    "cpp11",
    "crosstalk",
    "digest",
    "DT",
    "evaluate",
    "farver",
    "fastmap",
    "fontawesome",
    "fs",
    "ggplot2",
    "glue",
    "gtable",
    "here",
    "highr",
    "htmltools",
    "htmlwidgets",
    "httpuv",
    "isoband",
    "jquerylib",
    "jsonlite",
    "knitr",
    "labeling",
    "later",
    "lattice",
    "lazyeval",
    "lifecycle",
    "magrittr",
    "Matrix",
    "memoise",
    "mime",
    "otel",
    "plyr",
    "png",
    "promises",
    "R6",
    "rappdirs",
    "RColorBrewer",
    "Rcpp",
    "RcppTOML",
    "reticulate",
    "rlang",
    "rmarkdown",
    "rprojroot",
    "rstudioapi",
    "S7",
    "sass",
    "scales",
    "servr",
    "shiny",
    "shinycssloaders",
    "sourcetools",
    "tinytex",
    "vctrs",
    "viridisLite",
    "withr",
    "xfun",
    "xtable",
    "yaml"
  ],
  "_vignettes": [
    {
      "source": "experiments-deep-dive.Rmd",
      "filename": "experiments-deep-dive.html",
      "title": "A Deeper Dive into Experiments",
      "engine": "knitr::rmarkdown",
      "headings": [
        "A Deeper Dive into Experiments",
        "Load the data",
        "Try out several models",
        "Select a model for deployment",
        "Deploy a model to Azure Container Instances",
        "Use the prediction service in a Shiny application"
      ],
      "created": "2020-05-07 01:08:35",
      "modified": "2020-09-30 03:21:32",
      "commits": 3
    },
    {
      "source": "building-custom-docker-images.Rmd",
      "filename": "building-custom-docker-images.html",
      "title": "Building custom Docker images for training and deployment",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Prerequisites",
        "Writing the Dockerfile",
        "Choose the base image",
        "Specify conda dependencies",
        "Specify R packages",
        "Build and publish the image",
        "Publish on Docker Hub",
        "Publish on Azure Container Registry",
        "Create an Azure ML Environment",
        "Use the custom image for training",
        "Use the custom image for deployment",
        "Additional references"
      ],
      "created": "2020-08-25 00:15:27",
      "modified": "2020-08-25 00:15:27",
      "commits": 1
    },
    {
      "source": "deploy-to-aks.Rmd",
      "filename": "deploy-to-aks.html",
      "title": "Deploy a web service to Azure Kubernetes Service",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Prerequisites",
        "Set up your testing environment",
        "Import package",
        "Load your workspace",
        "Register the model",
        "Provision an AKS cluster",
        "Deploy as a web service",
        "Define the inference dependencies",
        "Deploy to AKS",
        "Test the deployed service",
        "Web service authentication",
        "Key-based authentication",
        "Token-based authentication",
        "Clean up resources"
      ],
      "created": "2020-05-06 21:42:22",
      "modified": "2020-05-07 01:08:35",
      "commits": 2
    },
    {
      "source": "deploying-models.Rmd",
      "filename": "deploying-models.html",
      "title": "Deploying models",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Register your model",
        "Register a model from an Azure ML run",
        "Register a model from local file(s)",
        "Choose a compute target",
        "Prepare deloyment artifacts",
        "1. Define your entry script and dependencies",
        "Locate model files in your entry script",
        "Example entry script",
        "2. Define your inference environment",
        "3. Define your deployment configuration",
        "Deploy to target",
        "1. Local deployment",
        "2. ACI deployment",
        "3. AKS deployment",
        "Troubleshooting deployment",
        "Web service authentication",
        "Key-based authentication",
        "Token-based authentication",
        "Consume web service",
        "Update web service",
        "Clean up resources",
        "Additional references"
      ],
      "created": "2020-05-06 21:42:22",
      "modified": "2020-09-30 03:21:32",
      "commits": 4
    },
    {
      "source": "hyperparameter-tune-with-keras.Rmd",
      "filename": "hyperparameter-tune-with-keras.html",
      "title": "Hyperparameter tune a Keras model",
      "engine": "knitr::rmarkdown",
      "headings": [
        "What are hyperparameters?",
        "Prerequisites",
        "Set up development environment",
        "Import azuremlsdk package",
        "Load your workspace",
        "Create an experiment",
        "Create a compute target",
        "Prepare the training script",
        "Create an estimator",
        "Configure the HyperDrive run",
        "Define search space",
        "Define termination policy",
        "Finalize configuration",
        "Submit the HyperDrive run",
        "Analyse runs by performance",
        "Clean up resources"
      ],
      "created": "2020-05-06 21:42:22",
      "modified": "2020-09-30 03:21:32",
      "commits": 4
    },
    {
      "source": "installation.Rmd",
      "filename": "installation.html",
      "title": "Install the Azure ML SDK for R",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Install Conda",
        "Install the azuremlsdk R package",
        "Install the Azure ML Python SDK",
        "Test installation",
        "Troubleshooting"
      ],
      "created": "2019-10-09 00:09:07",
      "modified": "2020-07-09 17:28:04",
      "commits": 10
    },
    {
      "source": "troubleshooting.Rmd",
      "filename": "troubleshooting.html",
      "title": "Known issues and troubleshooting",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Installation",
        "Compute instance",
        "Older version of azuremlsdk",
        "Error: \"Unable to install packages\"",
        "Training",
        "\"ModuleNotFoundError\": \"No module named 'ruamel'\"",
        "\"PermissionError\" when submitting an experiment in RStudio",
        "\"Error\": \"C stack usage ______________ is too close to the limit\"",
        "Deployment",
        "Resource quotas"
      ],
      "created": "2020-05-06 21:42:22",
      "modified": "2021-01-19 18:55:50",
      "commits": 5
    },
    {
      "source": "configuration.Rmd",
      "filename": "configuration.html",
      "title": "Set up an Azure ML workspace",
      "engine": "knitr::rmarkdown",
      "headings": [
        "What is an Azure ML workspace?",
        "Setup",
        "Azure subscription",
        "Azure ML SDK installation",
        "Configure your workspace",
        "Workspace parameters",
        "Create a new workspace",
        "Access an existing workspace",
        "Authenticate a workspace"
      ],
      "created": "2019-10-25 02:37:21",
      "modified": "2020-03-03 19:08:44",
      "commits": 2
    },
    {
      "source": "train-with-tensorflow.Rmd",
      "filename": "train-with-tensorflow.html",
      "title": "Train a TensorFlow model",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Prerequisites",
        "Set up development environment",
        "Import azuremlsdk package",
        "Load your workspace",
        "Create an experiment",
        "Create a compute target",
        "Prepare the training script",
        "Create an estimator",
        "Submit the job",
        "View run metrics",
        "Clean up resources"
      ],
      "created": "2020-05-06 21:42:22",
      "modified": "2020-09-30 03:21:32",
      "commits": 4
    },
    {
      "source": "train-and-deploy-first-model.Rmd",
      "filename": "train-and-deploy-first-model.html",
      "title": "Train and deploy your first model with Azure ML",
      "author": "David Smith",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Prerequisites",
        "Set up your development environment",
        "Install required packages",
        "Load your workspace",
        "Create an experiment",
        "Create a compute target",
        "Prepare data for training",
        "Upload data to the datastore",
        "Train a model",
        "Prepare the training script",
        "Create an estimator",
        "Submit the job on the remote cluster",
        "Retrieve training results",
        "Get the logged metrics",
        "Get the trained model",
        "Deploy as a web service",
        "Register the model",
        "Define the inference dependencies",
        "Deploy to ACI",
        "Test the deployed service",
        "Clean up resources"
      ],
      "created": "2020-05-06 21:42:22",
      "modified": "2020-05-07 01:08:35",
      "commits": 2
    }
  ],
  "_score": 8.855882430036036,
  "_indexed": true,
  "_nocasepkg": "azuremlsdk",
  "_universes": [
    "azure"
  ],
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "1.10.0",
      "date": "2026-05-12T06:21:26.000Z",
      "distro": "noble",
      "commit": "19301e106c0cec69dac0931e98af7e3f713b7bf7",
      "fileid": "48616d0bff9d9ea4841df0889b309553033f38c02dbd7f19e93e712bc3b7d2aa",
      "status": "success",
      "check": "NOTE",
      "buildurl": "https://github.com/r-universe/azure/actions/runs/25717046438"
    },
    {
      "r": "4.6.0",
      "os": "linux",
      "version": "1.10.0",
      "date": "2026-05-12T06:21:20.000Z",
      "distro": "noble",
      "commit": "19301e106c0cec69dac0931e98af7e3f713b7bf7",
      "fileid": "56045880939062bc3105b08f242b5e17092da58f6ccc2f16960e27ceab0964b6",
      "status": "success",
      "check": "NOTE",
      "buildurl": "https://github.com/r-universe/azure/actions/runs/25717046438"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "1.10.0",
      "date": "2026-05-12T06:20:36.000Z",
      "commit": "19301e106c0cec69dac0931e98af7e3f713b7bf7",
      "fileid": "b558f7dd0e2ebba1f9b792b5b85f98adad61b14c4f441d62813357ac1fa8e6ea",
      "status": "success",
      "check": "NOTE",
      "buildurl": "https://github.com/r-universe/azure/actions/runs/25717046438"
    },
    {
      "r": "4.6.0",
      "os": "mac",
      "version": "1.10.0",
      "date": "2026-05-12T06:20:40.000Z",
      "commit": "19301e106c0cec69dac0931e98af7e3f713b7bf7",
      "fileid": "c959fd5b72cbe9bd2ee03a3eb364c9b01a9a3410e70b19374e0d0bc9b6e90e11",
      "status": "success",
      "check": "NOTE",
      "buildurl": "https://github.com/r-universe/azure/actions/runs/25717046438"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "1.10.0",
      "date": "2026-05-12T06:20:42.000Z",
      "commit": "19301e106c0cec69dac0931e98af7e3f713b7bf7",
      "fileid": "78fb4b0e4febaf724eaa478b6dd7fdec23032740da2997011f1efd1f5875da61",
      "status": "success",
      "check": "NOTE",
      "buildurl": "https://github.com/r-universe/azure/actions/runs/25717046438"
    },
    {
      "r": "4.5.3",
      "os": "win",
      "version": "1.10.0",
      "date": "2026-05-12T06:20:36.000Z",
      "commit": "19301e106c0cec69dac0931e98af7e3f713b7bf7",
      "fileid": "781c992761e9d750e70f05b4e46abfef79337ce851eb7a9f12b66c75e1d128ab",
      "status": "success",
      "check": "NOTE",
      "buildurl": "https://github.com/r-universe/azure/actions/runs/25717046438"
    },
    {
      "r": "4.6.0",
      "os": "win",
      "version": "1.10.0",
      "date": "2026-05-12T06:20:45.000Z",
      "commit": "19301e106c0cec69dac0931e98af7e3f713b7bf7",
      "fileid": "6341a8f5c44cf600219355aa01a3cb4753d2ff1bbfe3b3766fc4e27ba534c605",
      "status": "success",
      "check": "NOTE",
      "buildurl": "https://github.com/r-universe/azure/actions/runs/25717046438"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "1.10.0",
      "date": "2026-05-22T11:01:33.000Z",
      "commit": "19301e106c0cec69dac0931e98af7e3f713b7bf7",
      "fileid": "cadb99d4298494c0f97627cf19b089d2a6e2e53f34484bb53e5008d865a12c57",
      "status": "success",
      "buildurl": "https://github.com/r-universe/azure/actions/runs/25717046438"
    }
  ]
}