| page_type | languages | products | description | ||
|---|---|---|---|---|---|
sample |
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Top-level directory for official Azure Machine Learning CLI sample code. |
Welcome to the Azure Machine Learning examples repository!
- An Azure subscription. If you don't have an Azure subscription, create a free account before you begin.
- A terminal. Install and set up the CLI (v2) before you begin.
Scripts
Jobs (jobs)
| path | status | description |
|---|---|---|
| jobs/pipelines-with-components/nyc_taxi_data_regression/job.yml |  |
no description |
| jobs/pipelines/cifar-10/job.yml |  |
no description |
| jobs/pipelines/nyc-taxi/job.yml |  |
no description |
| jobs/single-step/dask/nyctaxi/job.yml |  |
This sample shows how to run a distributed DASK job on AzureML. The 24GB NYC Taxi dataset is read in CSV format by a 4 node DASK cluster, processed and then written as job output in parquet format. |
| jobs/single-step/gpu_perf/gpu_perf_job.yml |  |
Runs NCCL-tests on gpu nodes. |
| jobs/single-step/julia/iris/job.yml |  |
Train a Flux model on the Iris dataset using the Julia programming language. |
| jobs/single-step/lightgbm/iris/job-sweep.yml |  |
Run a hyperparameter sweep job for LightGBM on Iris dataset. |
| jobs/single-step/lightgbm/iris/job.yml |  |
Train a LightGBM model on the Iris dataset. |
| jobs/single-step/pytorch/cifar-distributed/job.yml |  |
Train a basic convolutional neural network (CNN) with PyTorch on the CIFAR-10 dataset, distributed via PyTorch. |
| jobs/single-step/pytorch/iris/job.yml |  |
Train a neural network with PyTorch on the Iris dataset. |
| jobs/single-step/pytorch/word-language-model/job.yml |  |
Train a multi-layer RNN (Elman, GRU, or LSTM) on a language modeling task with PyTorch. |
| jobs/single-step/r/accidents/job.yml |  |
Train a GLM using R on the accidents dataset. |
| jobs/single-step/r/iris/job.yml |  |
Train an R model on the Iris dataset. |
| jobs/single-step/scikit-learn/diabetes/job.yml |  |
Train a scikit-learn LinearRegression model on the Diabetes dataset. |
| jobs/single-step/scikit-learn/iris-notebook/job.yml |  |
Train a scikit-learn SVM on the Iris dataset using a custom Docker container build with a notebook via papermill. |
| jobs/single-step/scikit-learn/iris/job-docker-context.yml |  |
Train a scikit-learn SVM on the Iris dataset using a custom Docker container build. |
| jobs/single-step/scikit-learn/iris/job-sweep.yml |  |
Sweep hyperparemeters for training a scikit-learn SVM on the Iris dataset. |
| jobs/single-step/scikit-learn/iris/job.yml |  |
Train a scikit-learn SVM on the Iris dataset. |
| jobs/single-step/spark/nyctaxi/job.yml |  |
This sample shows how to run a single node Spark job on Azure ML. The 47GB NYC Taxi dataset is read in parquet format by a 1 node Spark cluster, processed and then written as job output in parquet format. |
| jobs/single-step/tensorflow/mnist-distributed-horovod/job.yml |  |
Train a basic neural network with TensorFlow on the MNIST dataset, distributed via Horovod. |
| jobs/single-step/tensorflow/mnist-distributed/job.yml |  |
Train a basic neural network with TensorFlow on the MNIST dataset, distributed via TensorFlow. |
| jobs/single-step/tensorflow/mnist/job.yml |  |
Train a basic neural network with TensorFlow on the MNIST dataset. |
| jobs/basics/hello-code.yml |  |
no description |
| jobs/basics/hello-iris-datastore-file.yml |  |
no description |
| jobs/basics/hello-iris-datastore-folder.yml |  |
no description |
| jobs/basics/hello-iris-file.yml |  |
no description |
| jobs/basics/hello-iris-folder.yml |  |
no description |
| jobs/basics/hello-iris-literal.yml |  |
no description |
| jobs/basics/hello-mlflow.yml |  |
no description |
| jobs/basics/hello-notebook.yml |  |
no description |
| jobs/basics/hello-pipeline-abc.yml |  |
no description |
| jobs/basics/hello-pipeline-io.yml |  |
no description |
| jobs/basics/hello-pipeline-settings.yml |  |
no description |
| jobs/basics/hello-pipeline.yml |  |
no description |
| jobs/basics/hello-sweep.yml |  |
Hello sweep job example. |
| jobs/basics/hello-world-env-var.yml |  |
no description |
| jobs/basics/hello-world-input.yml |  |
no description |
| jobs/basics/hello-world-org.yml |  |
|
| jobs/basics/hello-world-output-data.yml |  |
no description |
| jobs/basics/hello-world-output.yml |  |
no description |
| jobs/basics/hello-world.yml |  |
no description |
| jobs/pipelines-with-components/basics/1a_e2e_local_components/pipeline.yml |  |
"Dummy train-score-eval pipeline with local components" |
| jobs/pipelines-with-components/basics/1b_e2e_registered_components/pipeline.yml |  |
"E2E dummy train-score-eval pipeline with registered components" |
| jobs/pipelines-with-components/basics/1c_e2e_inline_components/pipeline.yml |  |
"E2E dummy train-score-eval pipeline with components defined inline in pipeline job" |
| jobs/pipelines-with-components/basics/2a_basic_component/pipeline.yml |  |
"Hello World component example" |
| jobs/pipelines-with-components/basics/2b_component_with_input_output/pipeline.yml |  |
"Component with inputs and outputs" |
| jobs/pipelines-with-components/basics/3a_basic_pipeline/pipeline.yml |  |
"Basic Pipeline Job with 3 Hello World components" |
| jobs/pipelines-with-components/basics/3b_pipeline_with_data/pipeline.yml |  |
no description |
| jobs/pipelines-with-components/basics/4a_local_data_input/pipeline.yml |  |
"Example of using data in a local folder as pipeline input" |
| jobs/pipelines-with-components/basics/4b_datastore_datapath_uri_folder/pipeline.yml |  |
"Example of using data folder from a Workspace Datastore as pipeline input" |
| jobs/pipelines-with-components/basics/4c_datastore_datapath_uri_file/pipeline.yml |  |
"Example of using data file from a Workspace Datastore as pipeline input" |
| jobs/pipelines-with-components/basics/4d_dataset_input/pipeline.yml |  |
"Example of using data from a Dataset as pipeline input" |
| jobs/pipelines-with-components/basics/4e_web_url_input/pipeline.yml |  |
"Example of using a file hosted at a web URL as pipeline input" |
| jobs/pipelines-with-components/basics/5a_env_public_docker_image/pipeline.yml |  |
no description |
| jobs/pipelines-with-components/basics/5b_env_registered/pipeline.yml |  |
no description |
| jobs/pipelines-with-components/basics/5c_env_conda_file/pipeline.yml |  |
no description |
| jobs/pipelines-with-components/basics/6a_tf_hello_world/pipeline.yml |  |
"Prints the environment variable ($TF_CONFIG) useful for scripts running in a Tensorflow training environment" |
| jobs/pipelines-with-components/basics/6c_pytorch_hello_world/pipeline.yml |  |
"Prints the environment variables useful for scripts running in a PyTorch training environment" |
Endpoints (endpoints)
| path | status | description |
|---|
Resources (resources)
| path | status | description |
|---|---|---|
| resources/compute/cluster-basic.yml |  |
no description |
| resources/compute/cluster-location.yml |  |
no description |
| resources/compute/cluster-low-priority.yml |  |
no description |
| resources/compute/cluster-minimal.yml |  |
no description |
| resources/compute/cluster-ssh-password.yml |  |
no description |
Assets (assets)
| path | status | description |
|---|---|---|
| assets/dataset/cloud-file-https.yml |  |
Dataset created from a file in cloud using https URL. |
| assets/dataset/cloud-file-wasbs.yml |  |
Dataset created from a file in cloud using wasbs URL. |
| assets/dataset/cloud-file.yml |  |
Dataset created from file in cloud. |
| assets/dataset/cloud-folder-https.yml |  |
Dataset created from folder in cloud using https URL. |
| assets/dataset/cloud-folder-wasbs.yml |  |
Dataset created from folder in cloud using wasbs URL. |
| assets/dataset/cloud-folder.yml |  |
Dataset created from folder in cloud. |
| assets/dataset/iris-csv-example.yml |  |
no description |
| assets/dataset/local-file.yml |  |
Dataset created from local file. |
| assets/dataset/local-folder.yml |  |
Dataset created from local folder. |
| assets/dataset/public-file-https.yml |  |
Dataset created from a publicly available file using https URL. |
| assets/environment/docker-context.yml |  |
no description |
| assets/environment/docker-image-plus-conda.yml |  |
Environment created from a Docker image plus Conda environment. |
| assets/environment/docker-image.yml |  |
Environment created from a Docker image. |
| assets/model/local-file.yml |  |
Model created from local file. |
| assets/model/local-mlflow.yml |  |
Model created from local MLflow model directory. |
| directory | description |
|---|---|
assets |
assets |
endpoints |
endpoints |
jobs |
jobs |
resources |
resources |
We welcome contributions and suggestions! Please see the contributing guidelines for details.
This project has adopted the Microsoft Open Source Code of Conduct. Please see the code of conduct for details.