-
```
What steps will reproduce the problem?
1. Use T9 with word prediction enabled.
What is the expected output? What do you see instead?
Examples:
2 key defaults to b instead of a
4 key defaults to …
-
### Description
I am currently using the LightGCN model for predictions on my own dataset. The regular workflow, including initializing the model, ``model.fit()``, and ``model.recommend_k_items()``…
-
```
What steps will reproduce the problem?
1. Use T9 with word prediction enabled.
What is the expected output? What do you see instead?
Examples:
2 key defaults to b instead of a
4 key defaults to …
-
Hi,
Awesome project! I was going to do something similar myself but searched first and this looks like it ticks most of the boxes.
One thing is missing though: we need to test whether the model …
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Test the implementation as the second model in the report.
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I ran the `test_pretrained.py` script to calculate the correlation coefficient on a validation sample, and got `0.5963` as expected. However, when I inspected the target and predictions, the shapes we…
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Hi, I met this error when trying to run the code:
```
. (while training..)
.
.
Step 169: loss = 18.46 (286.694 sec)
Validation Data Eval:
correct_tags: 1068.0 total_tags: 2999.0
Current acc…
-
thia require splitting the experiment table in two - one for the underlying data then one for results.
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# Overview
I wanted to test out this library for a project, but I have hit so many roadblocks that I do not think this library is even functional. Here is my code I have been testing with, built foll…
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# Prerequisites
Please answer the following questions for yourself before submitting an issue.
- [√] I am using the latest TensorFlow Model Garden release and TensorFlow 2.
- [√] I am reporting…