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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
-
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. -
Run
source ./Activate.sh <python|x64>
This will need to happen each time a new terminal window is opened.
Windows
-
Run
bootstrap.cmd ..
This will need to happen once per machine or after a repository has moved to a different directory.
-
Run
Activate.cmd <python|x64>
This will need to happen each time a new terminal window is opened.