>>> Practical Examples

Navigate the hands-on examples.

AutoML

This demonstrates how to use the AutoML loop, and the auto ml steps that are available in Neuraxle.

Usage of AutoML loop, and hyperparams with sklearn models.

Caching

This demonstrates how to use checkpoints in Neuraxle.

REST API Model Serving

This demonstrates an easy way to deploy your Neuraxle model or pipeline to a REST API.

Easy REST API Model Serving with Neuraxle

Getting started

This demonstrates how to build basic pipelines with Neuraxle.

Inverse Transforms in Neuraxle: How to Reverse a Prediction

Create Nested Pipelines in Neuraxle

Create label encoder across multiple columns

Create Pipeline Steps in Neuraxle that doesn’t fit or transform

Create Pipeline Steps that require implementing only handler methods

Hyperparameters

This demonstrates how to add hyperparameters to Neuraxle pipelines.

Manipulate Hyperparameter Spaces for Hyperparameter Tuning

Parallel

This demonstrates how parallel processing works in Neuraxle.

Parallel processing in Neuraxle

Neuraxle hyperparameter examples

This demonstrates how to use sklearn classes in a Neuraxle pipeline.

Boston Housing Regression

Boston Housing Regression with Meta Optimization

Time-related feature engineering with scikit-learn