pjml
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Getting Started

  • Install
  • Using pjml

API Documentation

  • API Documentation

Tutorial and Examples

  • The pjml example gallery
    • Introductory Examples
      • Operating machine learning pipelines (basic)
      • Running machine learning pipelines
      • Creating an end-to-end pipelines
    • Advanced Examples

Addtional Information

  • What is new on pjml package?
  • About us
pjml
  • Docs »
  • The pjml example gallery
  • Edit on GitHub

The pjml example gallery¶

The pjml package aims to provide easy tools to create machine learning pipelines from scratch. It adds new and elegant ways to deal and operates machine learning components, i.e., algorithms, partition, metrics and etc.

Below we present a gallery with examples of use:

Introductory Examples¶

Introductory examples of pjautoml package.

Operating machine learning pipelines (basic)

Operating machine learning pipelines (basic)

Running machine learning pipelines

Running machine learning pipelines

Creating an end-to-end pipelines

Creating an end-to-end pipelines

Advanced Examples¶

Advanced examples of pjml package.

Download all examples in Python source code: auto_examples_python.zip
Download all examples in Jupyter notebooks: auto_examples_jupyter.zip

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