Skip to main content

Manual Setup

SDK requires poetry. You can find install instructuction here

Clone the repo to local folder

git clone https://github.com/PuremlHQ/PureML

Navigate to packages > sdk

poetry install
poetry build

Folder Structure

.
├── License
├── README.md
├── change_log.md
├── pureml
│   ├── __init__.py
│   ├── cli
│   │   ├── __init__.py
│   │   ├── auth.py
│   │   ├── helpers.py
│   │   ├── main.py
│   │   ├── orgs.py
│   │   ├── public.pem
│   │   ├── puremlconfig.py
│   │   └── secrets.py
│   ├── components
│   │   ├── __init__.py
│   │   ├── auth.py
│   │   ├── dataset.py
│   │   ├── log
│   │   │   ├── __init__.py
│   │   │   ├── arrays.py
│   │   │   ├── artifacts.py
│   │   │   ├── audio.py
│   │   │   ├── figure.py
│   │   │   ├── image.py
│   │   │   ├── log.py
│   │   │   ├── metrics.py
│   │   │   ├── params.py
│   │   │   ├── pip_requirement.py
│   │   │   ├── predict.py
│   │   │   ├── resources.py
│   │   │   ├── tabular.py
│   │   │   └── video.py
│   │   └── model.py
│   ├── config
│   │   ├── __init__.py
│   │   └── parser.py
│   ├── decorators
│   │   ├── __init__.py
│   │   ├── dataset.py
│   │   ├── load_data.py
│   │   ├── model.py
│   │   ├── pip_requirements.py
│   │   ├── predict.py
│   │   └── transformer.py
│   ├── evaluate
│   │   ├── __init__.py
│   │   ├── classification.py
│   │   ├── eval.py
│   │   ├── grade.py
│   │   ├── metrics
│   │   │   ├── __init__.py
│   │   │   ├── accuracy.py
│   │   │   ├── base.py
│   │   │   ├── confusion_matrix.py
│   │   │   ├── f1.py
│   │   │   ├── mae.py
│   │   │   ├── mse.py
│   │   │   ├── precision.py
│   │   │   ├── recall.py
│   │   │   └── roc_auc.py
│   │   └── regression.py
│   ├── lineage
│   │   ├── __init__.py
│   │   └── data
│   │       ├── __init__.py
│   │       └── create_lineage.py
│   ├── package
│   │   ├── __init__.py
│   │   ├── docker.py
│   │   └── fastapi.py
│   ├── packaging
│   │   ├── __init__.py
│   │   ├── errors.py
│   │   ├── model_framework.py
│   │   ├── model_packaging
│   │   │   ├── __init__.py
│   │   │   ├── catboost.py
│   │   │   ├── custom.py
│   │   │   ├── keras.py
│   │   │   ├── lightgbm.py
│   │   │   ├── pytorch.py
│   │   │   ├── pytorch_tabnet.py
│   │   │   ├── sklearn.py
│   │   │   ├── tensorflow.py
│   │   │   └── xgboost.py
│   │   ├── packaging.py
│   │   └── packaging_utils.py
│   ├── predictor
│   │   ├── __init__.py
│   │   └── predictor.py
│   ├── schema
│   │   ├── __init__.py
│   │   ├── backend.py
│   │   ├── config.py
│   │   ├── dataset.py
│   │   ├── env.py
│   │   ├── log.py
│   │   ├── model.py
│   │   ├── packaging.py
│   │   ├── paths.py
│   │   ├── predict.py
│   │   ├── request.py
│   │   ├── singleton.py
│   │   ├── storage.py
│   │   └── types.py
│   ├── settings
│   │   ├── __init__.py
│   │   ├── backend.py
│   │   └── storage.py
│   └── utils
│       ├── __init__.py
│       ├── config.py
│       ├── constants.py
│       ├── env.py
│       ├── hash.py
│       ├── log_utils.py
│       ├── package.py
│       ├── pipeline.py
│       ├── predict.py
│       ├── readme.py
│       ├── resources.py
│       ├── source_code.py
│       ├── types.py
│       └── version_utils.py
├── pyproject.toml
└── tests
    ├── __init__.py
    ├── components
    │   ├── __init__.py
    │   ├── test_auth.py
    │   ├── test_dataset.py
    │   ├── test_metrics.py
    │   ├── test_models.py
    │   ├── test_params.py
    │   └── test_projects.py
    └── models
        ├── __init__.py
        └── saving
            ├── __init__.py
            ├── test_catboost.py
            ├── test_keras.py
            ├── test_lightgbm.py
            ├── test_pytorch.py
            ├── test_sklearn.py
            ├── test_tensorflow.py
            └── test_xgboost.py

Reporting Bugs

To report any bugs you have faced while using PureML package, please

  1. Report it in Discord channel
  2. Open an issue

Contributing and Developing

Lets work together to improve the features for everyone. Here's step one for you to go through our Contributing Guide. We are already waiting for amazing ideas and features which you all have got.

Work with mutual respect. Please take a look at our public Roadmap here.


Community

To get quick updates of feature releases of PureML, follow us on:

Twitter LinkedIn GitHub GitHub


📄 License

See the Apache-2.0 file for licensing information.

Metadata

Release files for pureml 0.4.8

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for pureml 0.4.8
File Size Uploaded
pureml-0.4.8.tar.gz 78.7 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for pureml 0.4.8
File Interpreter ABI Platform
pureml-0.4.8-py3-none-any.whl Python 3 none any Details

Total release size: 177.0 kB

Release files / pureml-0.4.8.tar.gz

Download URL pureml-0.4.8.tar.gz
Size 78.7 kB
Tags Source
SHA-256 checksum
How to use checksums
1fd0570203e9adb59efaa8b5d5130d82c91eadef6b36e3df003cf0767fcd2f47
BLAKE2b-256 checksum
How to use checksums
5fb6b3afb7f26e91578b4d6ceb0135b945ca7ef6459234c764ea0bd37f1e869d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.1.1 CPython/3.12.4

Release files / pureml-0.4.8-py3-none-any.whl

Download URL pureml-0.4.8-py3-none-any.whl
Size 98.2 kB
Tags Python 3
SHA-256 checksum
How to use checksums
c87c313268146268985622a6ee1911d9b63e62ea07f5465c76a755a20a04de5a
BLAKE2b-256 checksum
How to use checksums
eb8d007db18e97a375cc4a050b7a56352b39c3ca348450c19fa073845d45d35c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.1.1 CPython/3.12.4

Release history Release notifications | RSS feed

This release

0.4.8 This release

2 release files

0.4.7

2 release files

0.4.6

2 release files

0.4.5

2 release files

0.4.4

2 release files

0.4.3

2 release files

0.4.1

2 release files

0.4.0

2 release files

0.3.9

2 release files

0.3.8

2 release files

0.3.7

2 release files

0.3.6

2 release files

0.3.5

2 release files

0.3.4

2 release files

0.3.3

1 release file

0.3.2

2 release files

0.3.1

2 release files

0.3.0

2 release files

0.2.3

2 release files

0.2.2

2 release files

0.2.1

2 release files

0.2.0

2 release files

0.1.6

2 release files

0.1.4

2 release files

0.1.1

2 release files

0.1.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page