Model training#
Understand how machine learning models can be trained from within Flyte, with an added advantage of orchestration benefits.
Train an XGBoost model on the Pima Indians Diabetes Dataset. |
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Use dynamic workflows to train a multiregion house price prediction model using XGBoost. |
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Train a neural network on MNIST with PyTorch and W&B |
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Word embedding and topic modelling on lee background corpus with Gensim |
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Forecast sales data with data-parallel distributed training using Horovod on Spark. |