docs/how-tos/use-for-training-models.rst - hamilton - Git at Google

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 Use Hamilton for Model Training
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 As Hamilton is a generic library for representing dataflows in pandas, it can be used for a wide array of tasks.
 One of the more common applications is using hamilton for training, testing, and executing machine learning models,
 all the way from feature-engineering through training and inference.

 The following two examples show how to use Hamilton to model an entire ML pipeline:

 1. A `classification pipeline <https://github.com/DAGWorks-Inc/hamilton/tree/main/examples/model_examples/scikit-learn>`_ for the iris dataset using scikit-learn
 2. An `implementation <https://github.com/DAGWorks-Inc/hamilton/tree/main/examples/model_examples/time-series>`_ of the m5 kaggle competition to do time-series forecasting on unit sales for using Walmart data.

 The goal of these is to get you comfortable with building out ML pipelines using hamilton, potentially giving you inspiration/templates from which you can get started.
	===============================
	Use Hamilton for Model Training
	===============================

	As Hamilton is a generic library for representing dataflows in pandas, it can be used for a wide array of tasks.
	One of the more common applications is using hamilton for training, testing, and executing machine learning models,
	all the way from feature-engineering through training and inference.

	The following two examples show how to use Hamilton to model an entire ML pipeline:

	1. A `classification pipeline <https://github.com/DAGWorks-Inc/hamilton/tree/main/examples/model_examples/scikit-learn>`_ for the iris dataset using scikit-learn
	2. An `implementation <https://github.com/DAGWorks-Inc/hamilton/tree/main/examples/model_examples/time-series>`_ of the m5 kaggle competition to do time-series forecasting on unit sales for using Walmart data.

	The goal of these is to get you comfortable with building out ML pipelines using hamilton, potentially giving you inspiration/templates from which you can get started.