PipelineX
0.6.0
Contents:
PipelineX Overview
Install PipelineX
Prepare Docker environment for PipelineX
Getting Started with PipelineX
Kedro 0.17.x Starter projects
Example/Demo Projects tested with Kedro 0.16.x
HatchDict: Python in YAML/JSON
Import-less Python object (class and function)
Anchor-less aliasing (self-lookup)
Python expression
Introduction to Kedro
Why the unified data interface framework is needed
Kedro overview
Flex-Kedro: Kedro plugin for flexible config
Flex-Kedro-Pipeline: Kedro plugin for quicker pipeline set up
Flex-Kedro-Context: Kedro plugin for YAML lovers
Define Kedro pipelines in
parameters.yml
Configure Kedro run config using
RUN_CONFIG
key in
parameters.yml
Use
HatchDict
feature in
parameters.yml
Enable caching for Kedro DataSets in
catalog.yml
Use
HatchDict
feature in
catalog.yml
MLflow-on-Kedro: Kedro plugin for MLflow users
How to use MLflow from Kedro projects
Comparison with
kedro-mlflow
package
Kedro-Extras: Kedro plugin to use various Python packages
Additional Kedro datasets (data interface sets)
Additional function decorators for benchmarking
Use with PyTorch
Use with PyTorch Ignite
Use with OpenCV
Use with PyTorch Lightning
Use with TensorFlow/Keras
Story behind PipelineX
Author
Contributors are welcome!
How to contribute
Contributor list
API Docs
pipelinex package
Subpackages
pipelinex.extras package
pipelinex.flex_kedro package
pipelinex.hatch_dict package
pipelinex.mlflow_on_kedro package
Submodules
pipelinex.utils module
PipelineX
»
pipelinex
»
pipelinex package
»
pipelinex.mlflow_on_kedro package
»
pipelinex.mlflow_on_kedro.datasets package
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pipelinex.mlflow_on_kedro.datasets package
¶
Subpackages
¶
pipelinex.mlflow_on_kedro.datasets.mlflow package
Submodules
pipelinex.mlflow_on_kedro.datasets.mlflow.mlflow_dataset module
Read the Docs
v: 0.6.0
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