Segregated dependencies to support higher version of python and other packages. #174
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Signed-off-by: Giridhar Ganapavarapu <[email protected]>
Signed-off-by: Giridhar Ganapavarapu <[email protected]>
Signed-off-by: Giridhar Ganapavarapu <[email protected]>
Signed-off-by: Giridhar Ganapavarapu <[email protected]>
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Fixed DCO sign-off issue. |
Signed-off-by: Giridhar Ganapavarapu <[email protected]>
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Removed the group based dependencies from this PR. Now, it has only algorithm specific dependencies in setup.py and build.yml is updated accordingly. User can install AIX360 with dependencies related to specific set of algorithms that are in interest. Example: |
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Thanks! @gganapavarapu |
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This PR is created to address issues with tensorflow 1.14 and lower version of Python. This does not upgrade the algorithmic code to use latest version of tensorflow. Instead, it groups/modularizes the dependencies per algorithm
and per dependency group like tensorflow 1.x related, tensorflow 2.x related, pytorch related etc.This allows to install and use some of the AIX360 algorithms like CEM on Python 3.6 and majority of the algorithms on Python 3.10.
Related issues are #98 #115 #157 #172.