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azuremlsdk  

Interface to the 'Azure Machine Learning' 'SDK'
View on CRAN: Click here


Download and install azuremlsdk package within the R console
Install from CRAN:
install.packages("azuremlsdk")

Install from Github:
library("remotes")
install_github("cran/azuremlsdk")

Install by package version:
library("remotes")
install_version("azuremlsdk", "1.10.0")



Attach the package and use:
library("azuremlsdk")
Maintained by
Diondra Peck
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-11-15
Latest Update: 2020-09-22
Description:
Interface to the 'Azure Machine Learning' Software Development Kit ('SDK'). Data scientists can use the 'SDK' to train, deploy, automate, and manage machine learning models on the 'Azure Machine Learning' service. To learn more about 'Azure Machine Learning' visit the website: .
How to cite:
Diondra Peck (2019). azuremlsdk: Interface to the 'Azure Machine Learning' 'SDK'. R package version 1.10.0, https://cran.r-project.org/web/packages/azuremlsdk. Accessed 08 Mar. 2026.
Previous versions and publish date:
0.5.7 (2019-11-15 14:00), 0.6.85 (2020-02-05 23:30)
Other packages that cited azuremlsdk R package
View azuremlsdk citation profile
Other R packages that azuremlsdk depends, imports, suggests or enhances
Complete documentation for azuremlsdk
Functions, R codes and Examples using the azuremlsdk R package
Some associated functions: 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_entry_script . 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 . merge_results . 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_data_lake_gen2_datastore . register_azure_file_share_datastore . register_azure_postgre_sql_datastore . register_azure_sql_database_datastore . register_dataset . register_do_azureml_parallel . 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 . split_tasks . start_logging_run . submit_child_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 . view_run_details . wait_for_deployment . wait_for_model_package_creation . wait_for_provisioning_completion . wait_for_run_completion . write_workspace_config . 
Some associated R codes: compute.R . datasets.R . datastore.R . do_azureml_parallel.R . environment.R . estimator.R . experiment.R . hyperdrive.R . install.R . keyvault.R . model.R . modules.R . package.R . run.R . webservice-aci.R . webservice-aks.R . webservice-local.R . webservice.R . workspace.R .  Full azuremlsdk package functions and examples
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