Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
Data Engineering Tools
Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
https://github.com/linkedin/datahub
https://engineering.linkedin.com/blog/2019/data-hub DataHub: A generalized metadata search & discovery tool
GPU Related Issues and Solutions
Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
Tips
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Training a model requires significantly more CPU/GPU memories than running inference using the model.
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torch.cuda.empty_cache() doesn't help if memory is not enough
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It is suggested that you …
Study Notes on Knowledge Graph
Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
RDF: Resource Description Framework OWL: Web Ontology Language
Products
neo4j
RDFox
Unique features of RDFox include the very powerful rule language (roughly …
Tips on Scikit-Learn
Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
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Cross validation in scikit-learn supports pipeline in addition to vanilla models. Please refer to Cross Validation Pipeline for more details.
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Label encoding is an easy way to convert a categorical response …
Common Issues in PyTorch
Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
GPU Related Issues and Solutions
Input type (torch.FloatTensor) and weight type (torch.cuda.FloatTensor) should be the same
This means that the input data and the model are on different …