{* ../../docs_src/path_params/tutorial005_py310.py hl[1,6:9] *}

/// tip

If you are wondering, "AlexNet", "ResNet", and "LeNet" are just names of Machine Learning <dfn title="Technically, Deep Learning model architectures">models</dfn>.

///

### Declare a *path parameter* { #declare-a-path-parameter }

You can declare extra information in `Field`, `Query`, `Body`, etc. And it will be included in the generated JSON Schema.

You will learn more about adding extra information later in the docs, when learning to declare examples.

/// warning

Extra keys passed to `Field` will also be present in the resulting OpenAPI schema for your application.

* <dfn title="A group of machines that are configured to be connected and work together in some way.">cluster</dfn>
* <dfn title="A method of machine learning that uses artificial neural networks with numerous hidden layers between input and output layers, thereby developing a comprehensive internal structure">Deep Learning</dfn>

## Headings { #headings }

//// tab | Test

### Develop a webapp - a tutorial { #develop-a-webapp-a-tutorial }

---

### 🎓 **Learning Resources for Gradle**

Kickstart your Gradle knowledge with courses, guides, and community support tailored to various experience levels:

- **[DPE University Free Courses](https://dpeuniversity.gradle.com/app/catalog)**: A collection of hands-on courses for learning Gradle, complete with project-based tasks to improve real-world skills.

cat > testobject << EOF
MinIO is a High Performance Object Storage released under GNU Affero General Public License v3.0. It is API compatible with Amazon S3 cloud storage service. Use MinIO to build high performance infrastructure for machine learning, analytics and application data workloads.
EOF
```

Upload this object to the bucket via `mc cp`
```
mc cp testobject myminio/functionbucket/
```

## Invoke Lambda transformation via PresignedGET

{
    "description": "TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries, and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML-powered applications.",
    "license": "Apache-2.0",
    "title": "TensorFlow",
    "upload_type": "software",
    "creators": [
        {
            "name": "TensorFlow Developers"
        }

        token: ${{ secrets.JENKINS_TOKEN }}
        base: ${{ github.event.inputs.release_branch }}
        branch: ${{ github.event.inputs.release_branch }}-${{ steps.cherrypick.outputs.SHORTSHA }}
        reviewers: learning-to-play
        body: |

import org.codelibs.fess.util.ComponentUtil;
import org.opensearch.search.rescore.QueryRescorerBuilder;
import org.opensearch.search.rescore.RescorerBuilder;

/**
 * Learning to Rank query rescorer implementation.
 */
public class LtrQueryRescorer implements QueryRescorer {

    /**
     * Default constructor.
     */
    public LtrQueryRescorer() {
        // Default constructor

------------------- |
[![Documentation](https://img.shields.io/badge/api-reference-blue.svg)](https://www.tensorflow.org/api_docs/) |

[TensorFlow](https://www.tensorflow.org/) is an end-to-end open source platform
for machine learning. It has a comprehensive, flexible ecosystem of
[tools](https://www.tensorflow.org/resources/tools),
[libraries](https://www.tensorflow.org/resources/libraries-extensions), and

- name: SurfSense
  html_url: https://github.com/MODSetter/SurfSense
  stars: 13614
  owner_login: MODSetter
  owner_html_url: https://github.com/MODSetter
- name: machine-learning-zoomcamp
  html_url: https://github.com/DataTalksClub/machine-learning-zoomcamp
  stars: 12780
  owner_login: DataTalksClub
  owner_html_url: https://github.com/DataTalksClub
- name: fastapi_mcp
  html_url: https://github.com/tadata-org/fastapi_mcp