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Merge pull request #1228 from Azure/release_update/Release-76

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update samples from Release-76 as a part of  SDK release
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Harneet Virk
2020-11-03 16:12:15 -08:00
committed by GitHub
parent 41a2ebd2b3 5019ad6c5a
commit ac0ad8d487
2 changed files with 7 additions and 9 deletions
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2
README.md
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@@ -1,7 +1,5 @@
# Azure Machine Learning service example notebooks # Azure Machine Learning service example notebooks
> a community-driven repository of examples using mlflow for tracking can be found at https://github.com/Azure/azureml-examples
This repository contains example notebooks demonstrating the [Azure Machine Learning](https://azure.microsoft.com/en-us/services/machine-learning-service/) Python SDK which allows you to build, train, deploy and manage machine learning solutions using Azure. The AML SDK allows you the choice of using local or cloud compute resources, while managing and maintaining the complete data science workflow from the cloud. This repository contains example notebooks demonstrating the [Azure Machine Learning](https://azure.microsoft.com/en-us/services/machine-learning-service/) Python SDK which allows you to build, train, deploy and manage machine learning solutions using Azure. The AML SDK allows you the choice of using local or cloud compute resources, while managing and maintaining the complete data science workflow from the cloud.
![Azure ML Workflow](https://raw.githubusercontent.com/MicrosoftDocs/azure-docs/master/articles/machine-learning/media/concept-azure-machine-learning-architecture/workflow.png) ![Azure ML Workflow](https://raw.githubusercontent.com/MicrosoftDocs/azure-docs/master/articles/machine-learning/media/concept-azure-machine-learning-architecture/workflow.png)

14
how-to-use-azureml/machine-learning-pipelines/nyc-taxi-data-regression-model-building/nyc-taxi-data-regression-model-building.ipynb
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@@ -460,8 +460,8 @@
" name=\"Merge Taxi Data\",\n", " name=\"Merge Taxi Data\",\n",
" script_name=\"merge.py\", \n", " script_name=\"merge.py\", \n",
" arguments=[\"--output_merge\", merged_data],\n", " arguments=[\"--output_merge\", merged_data],\n",
" inputs=[cleansed_green_data.parse_parquet_files(file_extension=None),\n", " inputs=[cleansed_green_data.parse_parquet_files(),\n",
" cleansed_yellow_data.parse_parquet_files(file_extension=None)],\n", " cleansed_yellow_data.parse_parquet_files()],\n",
" outputs=[merged_data],\n", " outputs=[merged_data],\n",
" compute_target=aml_compute,\n", " compute_target=aml_compute,\n",
" runconfig=aml_run_config,\n", " runconfig=aml_run_config,\n",
@@ -497,7 +497,7 @@
" name=\"Filter Taxi Data\",\n", " name=\"Filter Taxi Data\",\n",
" script_name=\"filter.py\", \n", " script_name=\"filter.py\", \n",
" arguments=[\"--output_filter\", filtered_data],\n", " arguments=[\"--output_filter\", filtered_data],\n",
" inputs=[merged_data.parse_parquet_files(file_extension=None)],\n", " inputs=[merged_data.parse_parquet_files()],\n",
" outputs=[filtered_data],\n", " outputs=[filtered_data],\n",
" compute_target=aml_compute,\n", " compute_target=aml_compute,\n",
" runconfig = aml_run_config,\n", " runconfig = aml_run_config,\n",
@@ -533,7 +533,7 @@
" name=\"Normalize Taxi Data\",\n", " name=\"Normalize Taxi Data\",\n",
" script_name=\"normalize.py\", \n", " script_name=\"normalize.py\", \n",
" arguments=[\"--output_normalize\", normalized_data],\n", " arguments=[\"--output_normalize\", normalized_data],\n",
" inputs=[filtered_data.parse_parquet_files(file_extension=None)],\n", " inputs=[filtered_data.parse_parquet_files()],\n",
" outputs=[normalized_data],\n", " outputs=[normalized_data],\n",
" compute_target=aml_compute,\n", " compute_target=aml_compute,\n",
" runconfig = aml_run_config,\n", " runconfig = aml_run_config,\n",
@@ -574,7 +574,7 @@
" name=\"Transform Taxi Data\",\n", " name=\"Transform Taxi Data\",\n",
" script_name=\"transform.py\", \n", " script_name=\"transform.py\", \n",
" arguments=[\"--output_transform\", transformed_data],\n", " arguments=[\"--output_transform\", transformed_data],\n",
" inputs=[normalized_data.parse_parquet_files(file_extension=None)],\n", " inputs=[normalized_data.parse_parquet_files()],\n",
" outputs=[transformed_data],\n", " outputs=[transformed_data],\n",
" compute_target=aml_compute,\n", " compute_target=aml_compute,\n",
" runconfig = aml_run_config,\n", " runconfig = aml_run_config,\n",
@@ -614,7 +614,7 @@
" script_name=\"train_test_split.py\", \n", " script_name=\"train_test_split.py\", \n",
" arguments=[\"--output_split_train\", output_split_train,\n", " arguments=[\"--output_split_train\", output_split_train,\n",
" \"--output_split_test\", output_split_test],\n", " \"--output_split_test\", output_split_test],\n",
" inputs=[transformed_data.parse_parquet_files(file_extension=None)],\n", " inputs=[transformed_data.parse_parquet_files()],\n",
" outputs=[output_split_train, output_split_test],\n", " outputs=[output_split_train, output_split_test],\n",
" compute_target=aml_compute,\n", " compute_target=aml_compute,\n",
" runconfig = aml_run_config,\n", " runconfig = aml_run_config,\n",
@@ -690,7 +690,7 @@
" \"n_cross_validations\": 5\n", " \"n_cross_validations\": 5\n",
"}\n", "}\n",
"\n", "\n",
"training_dataset = output_split_train.parse_parquet_files(file_extension=None).keep_columns(['pickup_weekday','pickup_hour', 'distance','passengers', 'vendor', 'cost'])\n", "training_dataset = output_split_train.parse_parquet_files().keep_columns(['pickup_weekday','pickup_hour', 'distance','passengers', 'vendor', 'cost'])\n",
"\n", "\n",
"automl_config = AutoMLConfig(task = 'regression',\n", "automl_config = AutoMLConfig(task = 'regression',\n",
" debug_log = 'automated_ml_errors.log',\n", " debug_log = 'automated_ml_errors.log',\n",