| Skip to main content | https://docs.mlrun.org#main-content |
|
| https://docs.mlrun.org/contents.html |
| Using MLRun | https://docs.mlrun.org |
| MLRun architecture | https://docs.mlrun.org/architecture.html |
| MLRun ecosystem | https://docs.mlrun.org/ecosystem.html |
| Tutorials and Examples | https://docs.mlrun.org/tutorials/index.html |
| Deploying an LLM using MLRun | https://docs.mlrun.org/tutorials/genai-01-basic-tutorial.html |
| Model monitoring using LLM | https://docs.mlrun.org/tutorials/genai-02-model-monitor-llm.html |
| Experiment tracking with a vector DB | https://docs.mlrun.org/tutorials/genai-03-vector-db.html |
| Using LLM prompt templates and artifacts | https://docs.mlrun.org/tutorials/genai-04-llm-prompt-artifact.html |
| Machine learning tutorials | https://docs.mlrun.org/tutorials/ml-index.html |
| Quick start tutorial for machine learning | https://docs.mlrun.org/tutorials/01-mlrun-basics.html |
| Train, compare, and register models | https://docs.mlrun.org/tutorials/02-model-training.html |
| Serving pre-trained ML/DL models | https://docs.mlrun.org/tutorials/03-model-serving.html |
| Projects and automated ML pipeline | https://docs.mlrun.org/tutorials/04-pipeline.html |
| Model monitoring tutorial | https://docs.mlrun.org/tutorials/05-model-monitoring.html |
| Batch inference and drift detection | https://docs.mlrun.org/tutorials/06-batch-infer.html |
| Add MLOps to existing code | https://docs.mlrun.org/tutorials/07-add-mlops-to-code.html |
| Feature store example (stocks) | https://docs.mlrun.org/feature-store/basic-demo.html |
| Demos | https://docs.mlrun.org/tutorials/demos.html |
| MLRun cheat sheet | https://docs.mlrun.org/cheat-sheet.html |
| MLRun CE overview | https://docs.mlrun.org/install-mlrun-ce/index.html |
| Installation | https://docs.mlrun.org/install-mlrun-ce/installation.html |
| Install MLRun CE on Kubernetes | https://docs.mlrun.org/install-mlrun-ce/kubernetes-install.html |
| Install MLRun CE on AWS | https://docs.mlrun.org/install-mlrun-ce/aws-install.html |
| MLRun CE installation notes | https://docs.mlrun.org/install-mlrun-ce/mlrun-ce-installation-notes.html |
| Storing artifacts in AWS S3 storage | https://docs.mlrun.org/install-mlrun-ce/storing-artifact-in-aws-s3-storage.html |
| MLRun CE development notes | https://docs.mlrun.org/install-mlrun-ce/mlrun-ce-development-notes.html |
| Set up your client environment | https://docs.mlrun.org/setup-guide.html |
| Gen AI development workflow | https://docs.mlrun.org/genai/genai-flow.html |
| Gen AI data management | https://docs.mlrun.org/genai/data-mgmt/index.html |
| Using LLMs to process unstructured data | https://docs.mlrun.org/genai/data-mgmt/unstructured-data.html |
| Vector databases | https://docs.mlrun.org/genai/data-mgmt/vector-databases.html |
| Guardrails for data management | https://docs.mlrun.org/genai/data-mgmt/guardrails-data.html |
| Developing a gen AI pipeline | https://docs.mlrun.org/genai/development/index.html |
| Working with RAG in MLRun | https://docs.mlrun.org/genai/development/working-with-rag.html |
| Evaluating LLMs with MLRun | https://docs.mlrun.org/genai/development/evaluating-llms.html |
| Fine tuning LLMs with MLRun | https://docs.mlrun.org/genai/development/fine-tuning-llms.html |
| Deploying gen AI application serving pipelines | https://docs.mlrun.org/genai/deployment/index.html |
| Serving gen AI models | https://docs.mlrun.org/genai/deployment/genai_serving.html |
| GPU utilization | https://docs.mlrun.org/genai/deployment/gpu_utilization.html |
| Gen AI realtime serving graph | https://docs.mlrun.org/genai/deployment/genai_serving_graph.html |
| Integrating an OpenAI LLM with MLRun | https://docs.mlrun.org/genai/deployment/openai-model.html |
| Serving graph with batching using a Hugging Face model | https://docs.mlrun.org/genai/deployment/hf-model-batch-serving-graph.html |
| Gen AI liveOps | https://docs.mlrun.org/genai/live-ops/index.html |
| MLOps development workflow | https://docs.mlrun.org/mlops-dev-flow.html |
| Ingest and process data | https://docs.mlrun.org/data-prep/index.html |
| Using data sources and items | https://docs.mlrun.org/data-prep/ingesting_data.html |
| Logging datasets | https://docs.mlrun.org/data-prep/logging_datasets.html |
| Develop and train models | https://docs.mlrun.org/development/index.html |
| Model training and tracking | https://docs.mlrun.org/development/model-training-tracking.html |
| Create a basic training job | https://docs.mlrun.org/training/create-a-basic-training-job.html |
| Working with data and model artifacts | https://docs.mlrun.org/training/working-with-data-and-model-artifacts.html |
| Automated experiment tracking | https://docs.mlrun.org/concepts/auto-logging-mlops.html |
| Using the built-in training function | https://docs.mlrun.org/training/built-in-training-function.html |
| Hyperparameter tuning optimization | https://docs.mlrun.org/hyper-params.html |
| Deploy models and applications | https://docs.mlrun.org/deployment/index.html |
| Real-time serving | https://docs.mlrun.org/serving/serving-overview.html |
| Using built-in model serving classes | https://docs.mlrun.org/serving/built-in-model-serving.html |
| Build your own model serving class | https://docs.mlrun.org/serving/custom-model-serving-class.html |
| Test and deploy a model server | https://docs.mlrun.org/serving/test-deploy-model-server.html |
| Model serving API | https://docs.mlrun.org/serving/model-api.html |
| Serving with the feature store | https://docs.mlrun.org/feature-store/training-serving.html |
| Batch inference | https://docs.mlrun.org/deployment/batch_inference.html |
| Canary functions and rolling upgrades | https://docs.mlrun.org/serving/canary.html |
| Model monitoring for MLOps | https://docs.mlrun.org/model-monitoring/mlops-monitoring.html |
| CI/CD automation with Git | https://docs.mlrun.org/projects/ci-cd-automate.html |
| Create a project using a Git source | https://docs.mlrun.org/projects/automate-project-git-source.html |
| Load project YAML from Git, Zip, Tar source | https://docs.mlrun.org/projects/load-project-yaml.html |
| Run pipelines with GitHub Actions, GitLab | https://docs.mlrun.org/projects/ci-integration.html |
| Projects and automation | https://docs.mlrun.org/projects/project.html |
| Create, save, and use projects | https://docs.mlrun.org/projects/create-project.html |
| Git best practices | https://docs.mlrun.org/projects/git-best-practices.html |
| Load projects | https://docs.mlrun.org/projects/load-project.html |
| Run, build, and deploy functions | https://docs.mlrun.org/projects/run-build-deploy.html |
| Build and run workflows/pipelines | https://docs.mlrun.org/projects/build-run-workflows-pipelines.html |
| Working with secrets | https://docs.mlrun.org/secrets.html |
| MLRun project bootstrapping with project_setup.py | https://docs.mlrun.org/projects/project-setup.html |
| Functions | https://docs.mlrun.org/runtimes/functions.html |
| Kinds of functions (runtimes) | https://docs.mlrun.org/concepts/functions-overview.html |
| Function of type job | https://docs.mlrun.org/runtimes/job-function.html |
| Function of type serving | https://docs.mlrun.org/runtimes/serving-function.html |
| Application runtime | https://docs.mlrun.org/runtimes/application.html |
| Dask distributed runtime | https://docs.mlrun.org/runtimes/dask-overview.html |
| Running Dask on the cluster with MLRun | https://docs.mlrun.org/runtimes/dask-mlrun.html |
| Pipelines using Dask, Kubeflow, and MLRun | https://docs.mlrun.org/runtimes/dask-pipeline.html |
| Databricks runtime | https://docs.mlrun.org/runtimes/databricks.html |
| MPIJob and Horovod runtime | https://docs.mlrun.org/runtimes/horovod.html |
| Spark Operator runtime | https://docs.mlrun.org/runtimes/spark-operator.html |
| Nuclio real-time functions | https://docs.mlrun.org/concepts/nuclio-real-time-functions.html |
| Create functions | https://docs.mlrun.org/runtimes/create-and-use-functions.html |
| Converting notebooks to function | https://docs.mlrun.org/runtimes/mlrun_code_annotations.html |
| Attach storage to functions | https://docs.mlrun.org/runtimes/function-storage.html |
| Images and their usage in MLRun | https://docs.mlrun.org/runtimes/images.html |
| Build function image | https://docs.mlrun.org/runtimes/image-build.html |
| Using a Git repo as a hub | https://docs.mlrun.org/runtimes/git-repo-as-hub.html |
| Data and artifacts | https://docs.mlrun.org/concepts/data.html |
| Profiles | https://docs.mlrun.org/store/profiles.html |
| Data stores | https://docs.mlrun.org/store/datastore.html |
| Data items | https://docs.mlrun.org/store/data-items.html |
| Artifacts | https://docs.mlrun.org/store/artifacts.html |
| LLM prompt artifacts | https://docs.mlrun.org/store/llm-artifacts.html |
| Model artifacts | https://docs.mlrun.org/store/models.html |
| Logging artifacts | https://docs.mlrun.org/store/log-artifacts.html |
| Model monitoring | https://docs.mlrun.org/concepts/model-monitoring.html |
| Writing a model monitoring application | https://docs.mlrun.org/model-monitoring/applications.html |
| Running the model monitoring application | https://docs.mlrun.org/model-monitoring/running-applications.html |
| View the model monitoring applications status in the UI | https://docs.mlrun.org/model-monitoring/view-mm-applications.html |
| View model monitoring results in the platform UI | https://docs.mlrun.org/model-monitoring/monitoring-models.html |
| View model monitoring results in Grafana | https://docs.mlrun.org/model-monitoring/monitoring-models-grafana.html |
| Model monitoring architecture | https://docs.mlrun.org/model-monitoring/index.html |
| Alerts and notifications | https://docs.mlrun.org/concepts/alerts-notifications.html |
| Alerts | https://docs.mlrun.org/concepts/alerts.html |
| Listing alert activations | https://docs.mlrun.org/concepts/alert_activations.html |
| Notifications | https://docs.mlrun.org/concepts/notifications.html |
| Batch runs and workflows | https://docs.mlrun.org/concepts/runs-workflows.html |
| Types of workflows, KFP, and Python | https://docs.mlrun.org/concepts/local-remote.html |
| MLRun execution context | https://docs.mlrun.org/concepts/mlrun-execution-context.html |
| Decorators and auto-logging | https://docs.mlrun.org/concepts/decorators-and-auto-logging.html |
| Configuring runs and functions | https://docs.mlrun.org/runtimes/configuring-job-resources.html |
| Scheduled jobs and workflows | https://docs.mlrun.org/concepts/scheduled-jobs.html |
| Running a task (job) | https://docs.mlrun.org/concepts/submitting-tasks-jobs-to-functions.html |
| Packagers | https://docs.mlrun.org/runtimes/packagers/index.html |
| Packagers overview | https://docs.mlrun.org/runtimes/packagers/packagers-overview.html |
| Using packagers to automate I/O in a gen AI agent pipeline | https://docs.mlrun.org/runtimes/packagers/packagers-tutorial.html |
| Creating custom packagers | https://docs.mlrun.org/runtimes/packagers/custom_packagers/index.html |
| Custom packager tutorials overview | https://docs.mlrun.org/runtimes/packagers/custom_packagers/custom-packagers-tutorial-overview.html |
| Creating a custom packager - pack-only tutorial | https://docs.mlrun.org/runtimes/packagers/custom_packagers/pack-only-tutorial.html |
| Creating a custom packager - round-trip (pack + unpack) tutorial | https://docs.mlrun.org/runtimes/packagers/custom_packagers/round-trip-tutorial.html |
| Creating a custom packager - itemization (bundling & unbundling) tutorial | https://docs.mlrun.org/runtimes/packagers/custom_packagers/itemization-tutorial.html |
| Running a multi-stage workflow | https://docs.mlrun.org/concepts/workflow-overview.html |
| Running a conditional workflow | https://docs.mlrun.org/runtimes/conditional-workflow.html |
| Running a multiple function workflow with ExitHandler | https://docs.mlrun.org/runtimes/multiple-funcs-exithandler.html |
| Running a workflow with multiple functions in parallel | https://docs.mlrun.org/runtimes/multiple-parallel-workflow.html |
| Real-time serving pipelines (graphs) | https://docs.mlrun.org/serving/serving-graph.html |
| Basic example of serving graph | https://docs.mlrun.org/serving/basic-example.html |
| Getting started with serving graphs | https://docs.mlrun.org/serving/getting-started.html |
| API handler | https://docs.mlrun.org/serving/api-handler.html |
| Building graphs | https://docs.mlrun.org/serving/building-graphs.html |
| Basic steps | https://docs.mlrun.org/serving/basic-steps.html |
| Model serving steps | https://docs.mlrun.org/serving/model-serving-steps.html |
| Remote steps | https://docs.mlrun.org/serving/remote-steps.html |
| Hub steps | https://docs.mlrun.org/serving/hub-steps.html |
| Custom steps | https://docs.mlrun.org/serving/writing-custom-steps.html |
| Router steps | https://docs.mlrun.org/serving/router-steps.html |
| Router topology | https://docs.mlrun.org/serving/router.html |
| Deploying graphs | https://docs.mlrun.org/serving/deploying-graphs.html |
| Demos and tutorials | https://docs.mlrun.org/serving/demos.html |
| Distributed (multi-function) pipeline example | https://docs.mlrun.org/serving/distributed-graph.html |
| Advanced model serving graph example | https://docs.mlrun.org/serving/graph-example.html |
| Advanced graph configuration | https://docs.mlrun.org/serving/graph-advanced-cfg.html |
| Remote execution | https://docs.mlrun.org/serving/remote-execution.html |
| Distributed graphs | https://docs.mlrun.org/serving/distributed-graph-oview.html |
| Branching and merging steps | https://docs.mlrun.org/serving/branch-merge.html |
| Concurrent processing | https://docs.mlrun.org/serving/concurrent-processing.html |
| Error handling | https://docs.mlrun.org/serving/pipelines-error-handling.html |
| Serving graph high availability configuration | https://docs.mlrun.org/serving/graph-ha-cfg.html |
| MLRun hub | https://docs.mlrun.org/runtimes/load-from-hub.html |
| Feature store | https://docs.mlrun.org/feature-store/feature-store.html |
| Feature store overview | https://docs.mlrun.org/feature-store/feature-store-overview.html |
| Feature sets | https://docs.mlrun.org/feature-store/feature-sets.html |
| Sources and targets | https://docs.mlrun.org/feature-store/sources-targets.html |
| Ingest data using the feature store | https://docs.mlrun.org/data-prep/ingest-data-fs.html |
| Ingest features with Spark | https://docs.mlrun.org/feature-store/using-spark-engine.html |
| Feature set transformations | https://docs.mlrun.org/feature-store/transformations.html |
| Feature vectors | https://docs.mlrun.org/feature-store/feature-vectors.html |
| Feature store's built-in steps | https://docs.mlrun.org/feature-store/feature-store-available-steps.html |
| Training with the feature store | https://docs.mlrun.org/feature-store/retrieve-offline-data.html |
| Feature store end-to-end demo | https://docs.mlrun.org/feature-store/end-to-end-demo/index.html |
| Part 1: Data ingestion | https://docs.mlrun.org/feature-store/end-to-end-demo/01-ingest-datasources.html |
| Part 2: Training | https://docs.mlrun.org/feature-store/end-to-end-demo/02-create-training-model.html |
| Part 3: Serving | https://docs.mlrun.org/feature-store/end-to-end-demo/03-deploy-serving-model.html |
| Part 4: Automated ML pipeline | https://docs.mlrun.org/feature-store/end-to-end-demo/04-pipeline.html |
| Index | https://docs.mlrun.org/genindex.html |
| API by module | https://docs.mlrun.org/api/index.html |
| mlrun | https://docs.mlrun.org/api/mlrun.html |
| mlrun.alerts.alert | https://docs.mlrun.org/api/mlrun.alerts/index.html |
| mlrun.artifacts | https://docs.mlrun.org/api/mlrun.artifacts/index.html |
| DatasetArtifact | https://docs.mlrun.org/api/mlrun.artifacts/mlrun.artifacts.dataset.html |
| DocumentArtifact | https://docs.mlrun.org/api/mlrun.artifacts/mlrun.artifacts.document.html |
| ModelArtifact | https://docs.mlrun.org/api/mlrun.artifacts/mlrun.artifacts.model.html |
| PlotArtifact | https://docs.mlrun.org/api/mlrun.artifacts/mlrun.artifacts.plots.html |
| mlrun.common | https://docs.mlrun.org/api/mlrun.common/index.html |
| mlrun.common.schemas | https://docs.mlrun.org/api/mlrun.common/mlrun.common.schemas/index.html |
| mlrun.common.schemas.alert | https://docs.mlrun.org/api/mlrun.common/mlrun.common.schemas/mlrun.common.schemas.alert.html |
| mlrun.common.schemas.api_gateway | https://docs.mlrun.org/api/mlrun.common/mlrun.common.schemas/mlrun.common.schemas.api_gateway.html |
| mlrun.common.schemas.artifact | https://docs.mlrun.org/api/mlrun.common/mlrun.common.schemas/mlrun.common.schemas.artifact.html |
| mlrun.common.schemas.common | https://docs.mlrun.org/api/mlrun.common/mlrun.common.schemas/mlrun.common.schemas.common.html |
| mlrun.common.schemas.notification | https://docs.mlrun.org/api/mlrun.common/mlrun.common.schemas/mlrun.common.schemas.notification.html |
| mlrun.common.schemas.serving | https://docs.mlrun.org/api/mlrun.common/mlrun.common.schemas/mlrun.common.schemas.serving.html |
| mlrun.config | https://docs.mlrun.org/api/mlrun.config/index.html |
| mlrun.datastore | https://docs.mlrun.org/api/mlrun.datastore/index.html |
| mlrun.db | https://docs.mlrun.org/api/mlrun.db/index.html |
| mlrun.execution | https://docs.mlrun.org/api/mlrun.execution/index.html |
| mlrun.feature_store | https://docs.mlrun.org/api/mlrun.feature_store/index.html |
| mlrun.frameworks | https://docs.mlrun.org/api/mlrun.frameworks/index.html |
| AutoMLRun | https://docs.mlrun.org/api/mlrun.frameworks/mlrun.frameworks.auto_mlrun.html |
| TensorFlow.Keras | https://docs.mlrun.org/api/mlrun.frameworks/mlrun.frameworks.tf_keras.html |
| PyTorch | https://docs.mlrun.org/api/mlrun.frameworks/mlrun.frameworks.pytorch.html |
| SciKit-Learn | https://docs.mlrun.org/api/mlrun.frameworks/mlrun.frameworks.sklearn.html |
| XGBoost | https://docs.mlrun.org/api/mlrun.frameworks/mlrun.frameworks.xgboost.html |
| LightGBM | https://docs.mlrun.org/api/mlrun.frameworks/mlrun.frameworks.lgbm.html |
| mlrun.model | https://docs.mlrun.org/api/mlrun.model/index.html |
| mlrun.model_monitoring | https://docs.mlrun.org/api/mlrun.model_monitoring/index.html |
| mlrun.package | https://docs.mlrun.org/api/mlrun.package/index.html |
| mlrun.package.log_hint.LogHint | https://docs.mlrun.org/api/mlrun.package/generated_rsts/mlrun.package.log_hint.LogHint.html |
| mlrun.package.packager.Packager | https://docs.mlrun.org/api/mlrun.package/generated_rsts/mlrun.package.packager.Packager.html |
| mlrun.package.packagers.default_packager.DefaultPackager | https://docs.mlrun.org/api/mlrun.package/generated_rsts/mlrun.package.packagers.default_packager.DefaultPackager.html |
| mlrun.package.packagers_manager.PackagersManager | https://docs.mlrun.org/api/mlrun.package/generated_rsts/mlrun.package.packagers_manager.PackagersManager.html |
| mlrun.package.errors | https://docs.mlrun.org/api/mlrun.package/generated_rsts/mlrun.package.errors.html |
| mlrun.package.packagers.python_standard_library_packagers | https://docs.mlrun.org/api/mlrun.package/generated_rsts/mlrun.package.packagers.python_standard_library_packagers.html |
| mlrun.package.packagers.python_standard_library_packagers.BoolPackager | https://docs.mlrun.org/api/mlrun.package/generated_rsts/generated_rsts/mlrun.package.packagers.python_standard_library_packagers.BoolPackager.html |
| mlrun.package.packagers.python_standard_library_packagers.BytearrayPackager | https://docs.mlrun.org/api/mlrun.package/generated_rsts/generated_rsts/mlrun.package.packagers.python_standard_library_packagers.BytearrayPackager.html |
| mlrun.package.packagers.python_standard_library_packagers.BytesPackager | https://docs.mlrun.org/api/mlrun.package/generated_rsts/generated_rsts/mlrun.package.packagers.python_standard_library_packagers.BytesPackager.html |
| mlrun.package.packagers.python_standard_library_packagers.DictPackager | https://docs.mlrun.org/api/mlrun.package/generated_rsts/generated_rsts/mlrun.package.packagers.python_standard_library_packagers.DictPackager.html |
| mlrun.package.packagers.python_standard_library_packagers.FloatPackager | https://docs.mlrun.org/api/mlrun.package/generated_rsts/generated_rsts/mlrun.package.packagers.python_standard_library_packagers.FloatPackager.html |
| mlrun.package.packagers.python_standard_library_packagers.FrozensetPackager | https://docs.mlrun.org/api/mlrun.package/generated_rsts/generated_rsts/mlrun.package.packagers.python_standard_library_packagers.FrozensetPackager.html |
| mlrun.package.packagers.python_standard_library_packagers.IntPackager | https://docs.mlrun.org/api/mlrun.package/generated_rsts/generated_rsts/mlrun.package.packagers.python_standard_library_packagers.IntPackager.html |
| mlrun.package.packagers.python_standard_library_packagers.ListPackager | https://docs.mlrun.org/api/mlrun.package/generated_rsts/generated_rsts/mlrun.package.packagers.python_standard_library_packagers.ListPackager.html |
| mlrun.package.packagers.python_standard_library_packagers.NonePackager | https://docs.mlrun.org/api/mlrun.package/generated_rsts/generated_rsts/mlrun.package.packagers.python_standard_library_packagers.NonePackager.html |
| mlrun.package.packagers.python_standard_library_packagers.PathPackager | https://docs.mlrun.org/api/mlrun.package/generated_rsts/generated_rsts/mlrun.package.packagers.python_standard_library_packagers.PathPackager.html |
| mlrun.package.packagers.python_standard_library_packagers.SetPackager | https://docs.mlrun.org/api/mlrun.package/generated_rsts/generated_rsts/mlrun.package.packagers.python_standard_library_packagers.SetPackager.html |
| mlrun.package.packagers.python_standard_library_packagers.StrPackager | https://docs.mlrun.org/api/mlrun.package/generated_rsts/generated_rsts/mlrun.package.packagers.python_standard_library_packagers.StrPackager.html |
| mlrun.package.packagers.python_standard_library_packagers.TuplePackager | https://docs.mlrun.org/api/mlrun.package/generated_rsts/generated_rsts/mlrun.package.packagers.python_standard_library_packagers.TuplePackager.html |
| mlrun.package.packagers.numpy_packagers | https://docs.mlrun.org/api/mlrun.package/generated_rsts/mlrun.package.packagers.numpy_packagers.html |
| mlrun.package.packagers.numpy_packagers.NumPyNDArrayDictPackager | https://docs.mlrun.org/api/mlrun.package/generated_rsts/generated_rsts/mlrun.package.packagers.numpy_packagers.NumPyNDArrayDictPackager.html |
| mlrun.package.packagers.numpy_packagers.NumPyNDArrayListPackager | https://docs.mlrun.org/api/mlrun.package/generated_rsts/generated_rsts/mlrun.package.packagers.numpy_packagers.NumPyNDArrayListPackager.html |
| mlrun.package.packagers.numpy_packagers.NumPyNDArrayPackager | https://docs.mlrun.org/api/mlrun.package/generated_rsts/generated_rsts/mlrun.package.packagers.numpy_packagers.NumPyNDArrayPackager.html |
| mlrun.package.packagers.numpy_packagers.NumPyNumberPackager | https://docs.mlrun.org/api/mlrun.package/generated_rsts/generated_rsts/mlrun.package.packagers.numpy_packagers.NumPyNumberPackager.html |
| mlrun.package.packagers.numpy_packagers.NumPySupportedFormat | https://docs.mlrun.org/api/mlrun.package/generated_rsts/generated_rsts/mlrun.package.packagers.numpy_packagers.NumPySupportedFormat.html |
| mlrun.package.packagers.pandas_packagers | https://docs.mlrun.org/api/mlrun.package/generated_rsts/mlrun.package.packagers.pandas_packagers.html |
| mlrun.package.packagers.pandas_packagers.PandasDataFramePackager | https://docs.mlrun.org/api/mlrun.package/generated_rsts/generated_rsts/mlrun.package.packagers.pandas_packagers.PandasDataFramePackager.html |
| mlrun.package.packagers.pandas_packagers.PandasSeriesPackager | https://docs.mlrun.org/api/mlrun.package/generated_rsts/generated_rsts/mlrun.package.packagers.pandas_packagers.PandasSeriesPackager.html |
| mlrun.package.packagers.pandas_packagers.PandasSupportedFormat | https://docs.mlrun.org/api/mlrun.package/generated_rsts/generated_rsts/mlrun.package.packagers.pandas_packagers.PandasSupportedFormat.html |
| mlrun.platforms | https://docs.mlrun.org/api/mlrun.platforms/index.html |
| mlrun.projects | https://docs.mlrun.org/api/mlrun.projects/index.html |
| mlrun.run | https://docs.mlrun.org/api/mlrun.run/index.html |
| mlrun.runtimes | https://docs.mlrun.org/api/mlrun.runtimes/index.html |
| mlrun.runtimes | https://docs.mlrun.org/api/mlrun.runtimes/mlrun.runtimes.html |
| mlrun.serving | https://docs.mlrun.org/api/mlrun.serving/index.html |
| storey.transformations - Graph transformations | https://docs.mlrun.org/api/storey.transormations/index.html |
| Command-Line Interface | https://docs.mlrun.org/cli.html |
| Resources | https://docs.mlrun.org/resources.html |
| Glossary | https://docs.mlrun.org/glossary.html |
| Change log | https://docs.mlrun.org/change-log/index.html |
|
Repository
| https://github.com/mlrun/mlrun |
|
Suggest edit
| https://github.com/mlrun/mlrun/edit/development/docs/index.md |
|
Open issue
| https://github.com/mlrun/mlrun/issues/new?title=Issue%20on%20page%20%2Findex.html&body=Your%20issue%20content%20here. |
|
.md
| https://docs.mlrun.org/_sources/index.md |
| Deployment options | https://docs.mlrun.org#deployment-options |
| Set up your client | https://docs.mlrun.org#set-up-your-client |
| Gen AI tasks | https://docs.mlrun.org#gen-ai-tasks |
| Data management | https://docs.mlrun.org#data-management |
| Development | https://docs.mlrun.org#development |
| Deployment | https://docs.mlrun.org#deployment |
| Live Ops | https://docs.mlrun.org#live-ops |
| MLOps tasks | https://docs.mlrun.org#mlops-tasks |
| Project management and CI/CD automation | https://docs.mlrun.org#project-management-and-ci-cd-automation |
| Ingest and process data | https://docs.mlrun.org#ingest-and-process-data |
| Develop and train models | https://docs.mlrun.org#develop-and-train-models |
| Deploy models and applications | https://docs.mlrun.org#deploy-models-and-applications |
| Monitor and alert | https://docs.mlrun.org#monitor-and-alert |
| MLRun core components | https://docs.mlrun.org#mlrun-core-components |
| # | https://docs.mlrun.org#using-mlrun |
| Tutorials and examples | https://docs.mlrun.org/tutorials/index.html#tutorials-all |
| gen AI tasks | https://docs.mlrun.org#gen-ai-tasks |
| MLOps tasks | https://docs.mlrun.org#mlops-tasks |
| MLRun core components | https://docs.mlrun.org#mlrun-core-components |
| MLRun ecosystem | https://docs.mlrun.org/ecosystem.html#ecosystem |
| Deployment options | https://docs.mlrun.org#deployment-options |
| Set up your client | https://docs.mlrun.org#set-up-your-client |
| GenAI tasks | https://docs.mlrun.org#gen-ai-tasks |
| MLOps tasks | https://docs.mlrun.org#mlops-tasks |
| MLRun core components | https://docs.mlrun.org#mlrun-core-components |
| # | https://docs.mlrun.org#deployment-options |
| Kubernetes | https://docs.mlrun.org/install-mlrun-ce/kubernetes-install.html#install-on-kubernetes |
| AWS cluster | https://docs.mlrun.org/install-mlrun-ce/aws-install.html#aws-install |
| Iguazio's Managed Service | https://www.iguazio.com |
| # | https://docs.mlrun.org#set-up-your-client |
| Set up your client environment | https://docs.mlrun.org/setup-guide.html#install-remote |
| Quick start tutorial for machine learning | https://docs.mlrun.org/tutorials/01-mlrun-basics.html#quick-start-ml |
| Tutorials and Examples | https://docs.mlrun.org/tutorials/ml-index.html#tutorial |
| # | https://docs.mlrun.org#gen-ai-tasks |
| ./projects/project.html | https://docs.mlrun.org/projects/project.html |
| ./genai/data-mgmt/index.html | https://docs.mlrun.org/genai/data-mgmt/index.html |
| ./genai/development/index.html | https://docs.mlrun.org/genai/development/index.html |
| ./genai/deployment/index.html | https://docs.mlrun.org/genai/deployment/index.html |
| ./genai/live-ops/index.html | https://docs.mlrun.org/genai/live-ops/index.html |
| ./concepts/model-monitoring.html | https://docs.mlrun.org/concepts/model-monitoring.html |
| Gen AI development workflow | https://docs.mlrun.org/genai/genai-flow.html |
| # | https://docs.mlrun.org#data-management |
| Using LLMs to process unstructured data | https://docs.mlrun.org/genai/data-mgmt/unstructured-data.html |
| Vector databases | https://docs.mlrun.org/genai/data-mgmt/vector-databases.html |
| Guardrails for data management | https://docs.mlrun.org/genai/data-mgmt/guardrails-data.html |
| Call center demo | https://github.com/mlrun/demo-call-center |
| Call center | https://youtu.be/YycMbxRgLBA |
| # | https://docs.mlrun.org#development |
| Working with RAG | https://docs.mlrun.org/genai/development/working-with-rag.html |
| Evalating LLMs | https://docs.mlrun.org/genai/development/evaluating-llms.html |
| Fine tuning LLMS | https://docs.mlrun.org/genai/development/fine-tuning-llms.html |
| Call center demo | https://github.com/mlrun/demo-call-center |
| Banking Agent Demo | https://github.com/mlrun/demo-banking-agent |
| Call center | https://youtu.be/YycMbxRgLBA |
| # | https://docs.mlrun.org#deployment |
| Serving gen AI models | https://docs.mlrun.org/genai/deployment/genai_serving.html |
| GPU utilization | https://docs.mlrun.org/genai/deployment/gpu_utilization.html |
| Gen AI realtime serving graph | https://docs.mlrun.org/genai/deployment/genai_serving_graph.html |
| Deploy LLM using MLRun | https://docs.mlrun.org/tutorials/genai-01-basic-tutorial.html |
| Call center demo | https://github.com/mlrun/demo-call-center |
| Banking Agent Demo | https://github.com/mlrun/demo-banking-agent |
| Call center | https://youtu.be/YycMbxRgLBA |
| # | https://docs.mlrun.org#live-ops |
| Model monitoring | https://docs.mlrun.org/concepts/model-monitoring.html |
| Alerts and notifications | https://docs.mlrun.org/concepts/alerts-notifications.html |
| Deploy an LLM using MLRun | https://docs.mlrun.org/tutorials/genai-01-basic-tutorial.html |
| Model monitoring using LLM | https://docs.mlrun.org/tutorials/-02-model-monitor-llm.html |
| Model monitoring and drift detection | https://docs.mlrun.org/tutorials/05-model-monitoring.html |
| Model Monitoring using an LLM | https://github.com/mlrun/demo-monitoring-and-feedback-loop/blob/main/llm-monitoring-main.ipynb |
| Banking Agent Demo | https://github.com/mlrun/demo-banking-agent |
| # | https://docs.mlrun.org#mlops-tasks |
| ./projects/project.html | https://docs.mlrun.org/projects/project.html |
| ./data-prep/index.html | https://docs.mlrun.org/data-prep/index.html |
| ./development/index.html | https://docs.mlrun.org/development/index.html |
| ./deployment/index.html | https://docs.mlrun.org/deployment/index.html |
| ./concepts/model-monitoring.html | https://docs.mlrun.org/concepts/model-monitoring.html |
| MLOps development workflow | https://docs.mlrun.org/mlops-dev-flow.html |
| # | https://docs.mlrun.org#project-management-and-ci-cd-automation |
| more... | https://docs.mlrun.org/projects/project.html |
| Projects and automation | https://docs.mlrun.org/projects/project.html |
| CI/CD integration | https://docs.mlrun.org/projects/ci-cd-automate.html |
| Quick start | https://docs.mlrun.org/tutorials/01-mlrun-basics.html |
| Automated ML pipeline | https://docs.mlrun.org/tutorials/04-pipeline.html |
| Quick start | https://youtu.be/xI8KVGLlj7Q |
| # | https://docs.mlrun.org#ingest-and-process-data |
| data sources | https://docs.mlrun.org/store/datastore.html |
| Feature store | https://docs.mlrun.org/feature-store/feature-store.html |
| more... | https://docs.mlrun.org/data-prep/index.html |
| Ingest and process data | https://docs.mlrun.org/data-prep/index.html |
| Feature store | https://docs.mlrun.org/feature-store/feature-store.html |
| Data and artifacts | https://docs.mlrun.org/concepts/data.html |
| quick start | https://docs.mlrun.org/tutorials/01-mlrun-basics.html |
| Feature store | https://docs.mlrun.org/feature-store/basic-demo.html |
| # | https://docs.mlrun.org#develop-and-train-models |
| more... | https://docs.mlrun.org/development/index.html |
| Develop and train models | https://docs.mlrun.org/development/index.html |
| Model training and tracking | https://docs.mlrun.org/development/model-training-tracking.html |
| Batch runs and workflows | https://docs.mlrun.org/concepts/runs-workflows.html |
| Train, compare, and register models | https://docs.mlrun.org/tutorials/02-model-training.ipynb |
| Automated ML pipeline | https://docs.mlrun.org/tutorials/04-pipeline.ipynb |
| Train and compare models | https://youtu.be/bZgBsmLMdQo |
| # | https://docs.mlrun.org#deploy-models-and-applications |
| more... | https://docs.mlrun.org/deployment/index.html |
| Deploy models and applications | https://docs.mlrun.org/deployment/index.html |
| Realtime pipelines | https://docs.mlrun.org/serving/serving-graph.html |
| Batch inference | https://docs.mlrun.org/deployment/batch_inference.html |
| Realtime serving | https://docs.mlrun.org/tutorials/03-model-serving.html |
| Batch inference | https://docs.mlrun.org/tutorials/06-batch-infer.html |
| Advanced pipeline | https://docs.mlrun.org/tutorials/06-batch-infer.html |
| Serve pre-trained models | https://youtu.be/OUjOus4dZfw |
| # | https://docs.mlrun.org#monitor-and-alert |
| more... | https://docs.mlrun.org/concepts/model-monitoring.html |
| Model monitoring | https://docs.mlrun.org/concepts/model-monitoring.html |
| Alerts and notifications | https://docs.mlrun.org/concepts/alerts-notifications.html |
| Model monitoring using LLM | https://docs.mlrun.org/tutorials/-02-model-monitor-llm.html |
| Model monitoring and drift detection | https://docs.mlrun.org/tutorials/05-model-monitoring.html |
| # | https://docs.mlrun.org#mlrun-core-components |
| ./projects/project.html | https://docs.mlrun.org/projects/project.html |
| ./runtimes/functions.html | https://docs.mlrun.org/runtimes/functions.html |
| ./concepts/data.html | https://docs.mlrun.org/concepts/data.html |
| ./concepts/runs-workflows.html | https://docs.mlrun.org/concepts/runs-workflows.html |
| ./serving/serving-graph.html | https://docs.mlrun.org/serving/serving-graph.html |
| ./concepts/model-monitoring.html | https://docs.mlrun.org/concepts/model-monitoring.html |
| ./concepts/alerts-notifications.html | https://docs.mlrun.org/concepts/alerts-notifications.html |
| Project management | https://docs.mlrun.org/projects/project.html#projects |
| Serverless functions | https://docs.mlrun.org/runtimes/functions.html#functions |
| Data & artifacts | https://docs.mlrun.org/concepts/data.html#data-feature-store |
| Batch Runs & workflows | https://docs.mlrun.org/concepts/runs-workflows.html#workflows |
| Real-time serving pipeline | https://docs.mlrun.org/serving/serving-graph.html#serving-graph |
| Real-time monitoring | https://docs.mlrun.org/concepts/model-monitoring.html#model-monitoring-overview |
| Alerts and notifications | https://docs.mlrun.org/concepts/alerts-notifications.html#alerts-notifications |
|
previous
Table of Contents
| https://docs.mlrun.org/contents.html |
|
next
MLRun architecture
| https://docs.mlrun.org/architecture.html |
| Deployment options | https://docs.mlrun.org#deployment-options |
| Set up your client | https://docs.mlrun.org#set-up-your-client |
| Gen AI tasks | https://docs.mlrun.org#gen-ai-tasks |
| Data management | https://docs.mlrun.org#data-management |
| Development | https://docs.mlrun.org#development |
| Deployment | https://docs.mlrun.org#deployment |
| Live Ops | https://docs.mlrun.org#live-ops |
| MLOps tasks | https://docs.mlrun.org#mlops-tasks |
| Project management and CI/CD automation | https://docs.mlrun.org#project-management-and-ci-cd-automation |
| Ingest and process data | https://docs.mlrun.org#ingest-and-process-data |
| Develop and train models | https://docs.mlrun.org#develop-and-train-models |
| Deploy models and applications | https://docs.mlrun.org#deploy-models-and-applications |
| Monitor and alert | https://docs.mlrun.org#monitor-and-alert |
| MLRun core components | https://docs.mlrun.org#mlrun-core-components |