>>> Complete API Documentation

neuraxle:

base

Neuraxle’s Base Classes

pipeline

Neuraxle’s Pipeline Classes

data_container

Neuraxle’s DataContainer classes

union

Union of Features

neuraxle.steps:

numpy

Pipeline Steps Based on NumPy

flow

Neuraxle’s Flow Steps

data

Data Steps

column_transformer

Neuraxle’s Column Transformer Steps

features

Featurization Steps

sklearn

Pipeline Steps Based on Scikit-Learn

loop

Pipeline Steps For Looping

output_handlers

Output Handlers Steps

misc

Miscelaneous Pipeline Steps

neuraxle.hyperparams:

distributions

Hyperparameter Distributions

scipy_distributions

space

Hyperparameter Dictionary Conversions

neuraxle.metaopt:

auto_ml

Neuraxle’s AutoML Classes

validation

Validation

callbacks

Neuraxle’s training callbacks classes.

observable

Neuraxle’s Observable Classes

neuraxle.metaopt.data:

vanilla

Neuraxle’s Base Hyperparameter Repository Classes

aggregates

Neuraxle’s AutoML Scope Manager Classes

json_repo

Neuraxle’s JSON Hyperparameter Repository Classes

neuraxle.metaopt.hyperopt:

tpe

Tree parzen estimator

neuraxle.distributed:

streaming

Streaming Pipelines for Parallel and Queued Data Processing

neuraxle.logging:

logging

Neuraxle’s Logging module

warnings

Neuraxle’s Deprecation Warnings

neuraxle.rest:

flask

Neuraxle’s Flask Wrapper classes