Skip to main content

Alpha release of ayx-learn.

Project description

[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/ambv/black)

# ayx-learn

A foundation of [scikit-learn](https://scikit-learn.org/stable/) compatible data science tools, such as Transformers, that both Alteryx Assisted Modeling and Code Fee Tools are built on.

## Source code organization

` . ├── README.md ├── ayx_learn: Source code for the ayx_learn package. │   ├── cmd: CLI commands that enable transformers and other functions to be used directly from the command-line. │   ├── transformers: Transformer source code. │   └── utils: Utility functions, such as validation. ├── docs: Sphinx documentation. ├── examples: CLI examples that use ayx_learn/cmd and DVC. ├── notebooks: Jupyter notebooks. ├── requirements-dev.txt: Requirements for development env. ├── requirements.txt: Requirements for building and running in a production env. ├── setup.py ├── tests │   └── unit: pytest unit tests. └── tox.ini: Ini file for tox. `

## Code standards

ayx-learn follows the [Alteryx Python Code Standards](https://alteryx.quip.com/qR3kAG4OA32X/Python-Code-Standards)

## Error handling and Logging

Errors/exceptions in ayx-learn follow the Message and Raise and Transformer patterns described in the blog at [Exceptional logging of exceptions in Python](https://www.loggly.com/blog/exceptional-logging-of-exceptions-in-python/).

Following the recommendations at, [Configuring Logging for a Library](https://docs.python.org/3/howto/logging.html#configuring-logging-for-a-library), a NullHandler has been initialized at ayx_learn module scope. Clients of ayx-learn can easily provide a logging handler that will override the NullHandler by initializing a handler in the client. E.g.

` import logging logging.basicConfig(filename='example.log',level=logging.DEBUG) `

## Testing

Unit tests are written using [pytest](https://docs.pytest.org/) and are located in ./tests/unit.

[tox](https://tox.readthedocs.io/) can be used for creating a virtualenv and automatically running the pytest unit tests.

## Examples

A set of CLI examples based on ayx_learn/cmd that use [DVC](https://dvc.org/) for managing data, creating, and running pipelines.

Usage

` cd examples/titanic dvc pull dvc repro step_2.csv.dvc `

To clean-up data files

` dvc remove -o *.dvc `

## Documentation

ayx-learn follows the [Alteryx Python Documentation Standards](https://alteryx.quip.com/bFgiAZThHaJv/Python-Documentation-Standards).

See [README](docs/README.md).

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ayx_learn-0.0.1.112553.tar.gz (13.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

ayx_learn-0.0.1.112553-py3-none-any.whl (28.4 kB view details)

Uploaded Python 3

File details

Details for the file ayx_learn-0.0.1.112553.tar.gz.

File metadata

  • Download URL: ayx_learn-0.0.1.112553.tar.gz
  • Upload date:
  • Size: 13.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/35.0.2 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.5.2

File hashes

Hashes for ayx_learn-0.0.1.112553.tar.gz
Algorithm Hash digest
SHA256 7e29ac95286ef2b6b5d729b2974eb263f0506f258ff63a5291c81155d30afbe5
MD5 d5dd995bdb5951f8f2badd5db2836689
BLAKE2b-256 509842baa48df49ea67af31ac158567e3a5527f36c82312957584b67b533ddcb

See more details on using hashes here.

File details

Details for the file ayx_learn-0.0.1.112553-py3-none-any.whl.

File metadata

  • Download URL: ayx_learn-0.0.1.112553-py3-none-any.whl
  • Upload date:
  • Size: 28.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/35.0.2 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.5.2

File hashes

Hashes for ayx_learn-0.0.1.112553-py3-none-any.whl
Algorithm Hash digest
SHA256 5e74f7c35c209a39cddc86cc5697557a930c8a47b9e9bc6c5161c14b9273c343
MD5 22ec27c8a12a3fceba44c5c9a5009f37
BLAKE2b-256 16062e924e74d3bb0245b37658e97399ca5ff8283a21146315da94dfdec87cca

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page