A library of cross-platform, cross-framework, cross-programming language featurizers (operations in a data processing pipeline) that can be used during Machine Learning training and prediction activities.
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David Brownell 909f1dfa75 Merged PR 4493: CppToJson Schema Deserialization Code
Most of this code is boilerplate code that creates an environment that can be used to generate code that deserializes the output of CppToJson.py.

The important files are:
- CppyToJson.SimpleSchema
- GeneratedCode/CppToJson_PythonJsonSerialization.py
- SchemaBuildEnvironment/Build.py
- SchemaBuildEnvironment/Readme.rst
2019-06-05 17:05:51 +00:00
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Libraries/Python/DataPipelines/v1.0/DataPipelines Merged PR 4493: CppToJson Schema Deserialization Code 2019-06-05 17:05:51 +00:00
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Readme.md Merged PR 4472: Updated CI build to include Windows and check for unit tests 2019-05-29 17:29:56 +00:00
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Readme.md

Data Pipelines

Data Pipelines are used to convert from arbitrary data into a matrix/tensor that can be consumed by machine learning algorithms.

Developer Quick Start

Note that these commands should be invoked within the root of the repository.

Linux

  1. Run sudo bootstrap.sh ..

    This will need to happen once per machine or after a repository has moved to a different directory. Note that sudo is not necessary when running within a Docker container.

  2. Run source ./Activate.sh <python|x64>

    This will need to happen each time a new terminal window is opened.

Windows

  1. Run bootstrap.cmd ..

    This will need to happen once per machine or after a repository has moved to a different directory.

  2. Run Activate.cmd <python|x64>

    This will need to happen each time a new terminal window is opened.