>>> 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
callbacks	Neuraxle’s training callbacks classes.
context	Neuraxle’s AutoML Context Management
optimizer	Neuraxle’s Hyperparameter Optimizer Base Classes
validation	Validation

neuraxle.metaopt.data:

vanilla	Neuraxle’s Base Hyperparameter Repository Classes
reporting	Neuraxle’s AutoML Metric Reporting classes.
aggregates	Neuraxle’s AutoML Scope Manager Classes

neuraxle.metaopt.repositories:

repo	Neuraxle’s Hyperparameter Repository Base Classes
json	Neuraxle’s JSON Hyperparameter Repository Classes
db	Neuraxle’s SQLAlchemy 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