PipelineX
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Contents:
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PipelineX Overview
Install PipelineX
[Option 1] Install from the PyPI
[Option 2] Development install
Prepare development environment for 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
Python objects in YAML/JSON
Introduction to YAML
Python tags in YAML
Alternative to Python tags in YAML
Anchor-less aliasing in YAML/JSON
Aliasing in YAML
Alternative to aliasing in YAML
Python expression in YAML/JSON
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
Dict for nodes
Sequential nodes
Decorators without using the method
Flex-Kedro-Context: Kedro plugin for YAML lovers
Define Kedro pipelines in
parameters.yml
Configure Kedro run config 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
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.transformers package
»
pipelinex.mlflow_on_kedro.transformers.mlflow package
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pipelinex.mlflow_on_kedro.transformers.mlflow package
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Submodules
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pipelinex.mlflow_on_kedro.transformers.mlflow.mlflow_io_time_logger module
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