tensorflow / tensorflow/recommenders
Model understanding of feature crosses
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Description
Hello,
I am wondering why the plot of feature crosses shown in the tutorial (https://www.tensorflow.org/recommenders/examples/dcn) is not symmetric? Isn't W_i,j the same as W_j,i since they both explain the importance of interaction between feature x_i and x_j?
Thanks in advance.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Open the DCN tutorial linked in the issue and locate the feature-cross plot and its surrounding explanation. Trace how the tutorial defines the plotted interaction values, then compare that with the issue’s expectation of symmetry; done when the tutorial or issue clearly explains the observed asymmetry.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, tensorflow
- Domain
- documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100