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Commits on Jan 14, 2019

• Merge branch 'py-sdk' of github.com:/zhilingc/feast into py-sdk

  

  zhilingc

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• Update importer api to support default datastores

  

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• Merge branch 'py-sdk' of github.com:zhilingc/feast into py-sdk

  

  Pradithya Aria

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• Rename TrainingService into DatasetService

  

  Pradithya Aria

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• Change gs to gcs

  

  zhilingc

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• Rename method, remove email

  

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Commits on Jan 12, 2019

• Add quickstart

  

  zhilingc

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Commits on Jan 10, 2019

• Made clients lazy initalised

  

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Commits on Jan 8, 2019

• Add support for no results returned

  

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• Fix for setting warehouse and serving storages

  

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Commits on Jan 5, 2019

• Refactoring

  

  Pradithya Aria

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• Integrate with core's training dataset creation and remove the same logic in sdk

  

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Commits on Jan 4, 2019

• Move download functionality from DatasetInfo into Client

  

  Pradithya Aria

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• Fix typo

  

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• Add license

  

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• Refactor and clean move classes locations

  

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• Add tests and refactoring

  

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• Fix downloading csv from GCS

  

  Pradithya Aria

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• Use TableReference when defining destination table

  

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• Deduplicate requesting storage specs

  

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• Add create_training_dataset api to feast client

  

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• Add checking for different entity in a feature set

  

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• Light refactor, fix tests

  

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• Add FeatureSet and DatasetInfo implementation

  

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• Add serving retrieval functions

  

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• Move feature set to be a resource

  

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• Add create_feature_set implementation

  

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• Clean add env, clean up docstrings

  

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• Add feature_set stub

  

  Pradithya Aria

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• Add ValueType and Granularity so that we don't expose internal proto to client

  

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• Clean up sdk code

  

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• Add tests

  

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• Add client

  

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• Add importer

  

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• Fix printer to print yaml in order

  

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