ML expert Platform CLI
이 프로젝트는 ML expert Platform를 위한 Python CLI, SDK를 제공합니다.
설치
# ML expert Platform CLI만 설치 (기본)
pip install ncloud-mlx
# ML expert Platform CLI + Model Registry
pip install ncloud-mlx[model-registry]
# ML expert Platform CLI + Data Manager
pip install ncloud-mlx[data-manager]
# ML expert Platform CLI + 모든 확장 (Model Registry + Data Manager)
pip install ncloud-mlx[all]
기본 사용법
설정 관리
ML expert Platform CLI 설정을 구성하거나 확인할 수 있습니다:
# 설정 구성
$ mlx configure
Endpoint: https://clustername.mlxp.ncloud.com # 사용하는 mlxp endpoint
Workspace name: my-workspace # 사용할 Workspace
Project name: my-project # 사용할 Project
API Key: your-api-key-here # 발급받은 API key
# 현재 설정 상태 확인
$ mlx status
도움말
# 전체 명령어 도움말
mlx --help
# 특정 명령어 도움말
mlx configure --help
mlx status --help
버전 확인
mlx --version
디버그 모드
문제가 발생했을 때 자세한 정보를 확인할 수 있습니다:
mlx --debug <명령어>
Metadata
Release files for ncloud-mlx 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ncloud_mlx-0.1.0.tar.gz | 13.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ncloud_mlx-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 28.4 kB
Release files / ncloud_mlx-0.1.0.tar.gz
| Download URL | ncloud_mlx-0.1.0.tar.gz |
|---|---|
| Size | 13.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.3
|
Release files / ncloud_mlx-0.1.0-py3-none-any.whl
| Download URL | ncloud_mlx-0.1.0-py3-none-any.whl |
|---|---|
| Size | 14.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.3
|