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NitroML is a modular, portable, and scalable model-quality benchmarking framework for Machine Learning and Automated Machine Learning (AutoML) pipelines.
Apache License 2.0
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Document how to build TFX from HEAD
#48
Closed
cweill
closed
4 years ago
nikhil-dce
commented
4 years ago
To build tfx master on your local machine, follow steps
here
.
To use tfx master for Kubeflow, see the documentation in
examples/README.md
. We will need to change
TFX_IMAGE
variable in
examples/config.py
.
examples/README.md
. We will need to changeTFX_IMAGE
variable inexamples/config.py
.