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by
Hiroyuki Eguchi
Meteos is a Machine Learning as a Service (MLaaS) in Apache Spark.
Project information
- Licence:
- Apache Licence
View full history Series and milestones
trunk series is the current focus of development.
All bugs Latest bugs reported
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Bug #1837364: Cannot create template with error "int() argument must be a string or a number, not 'NoneType'" and "The server could not comply with the request since it is either malformed or otherwise incorrect."
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Bug #1732367: Support any HTTP location to download and load datasets for running any prediction model
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Bug #1693670: Fix doc generation for Python3
Reported -
Bug #1696028: Cannot create template with error "The server has either errd or incapable..."
Reported -
Bug #1696027: Cannot create template with error "The server has either errd or incapable..."
Reported
All blueprints Latest blueprints
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Meteos 2.0
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Adding PyTorch Support for Meteos
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Implement TensorFlowOnSpark library support in Meteos
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Implement TensorFlow library support in Meteos
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To delete the multiple experiments using single command.
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