Comments (1)
tabularML
commented on July 22, 2024
Hi Bee,
so I need to know more about your problem. What is the model you are using and which library? Also how many iterations have you planned on running the algorithm? With 10k data points somewhere around 10000 iterations should be enough. Also if you have a 32 core machine you are better off by running 32 parallel jobs rather than running one.
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Related Issues (17)
- Question in TMC HOT 3
- Using DataShapley with Regression HOT 1
- Example notebook's bug HOT 1
- Request for implementation of data shapley for image processing HOT 3
- Does anyone have an example of running the the example notebook with "conv" model type? HOT 4
- Show performance graph by gradually removing worst values instead of best values HOT 1
- Wrong Shape in DShap.py/init_score HOT 1
- Notebook Error Ideas HOT 1
- Is g_shap only built to run for fully connected networks? HOT 1
- Performance graph phenomenon HOT 4
- Plots in Example.ipynb
- Can you help me figure out where to find the data that is being dropped during each iteration? HOT 1
- Running TMC-Shapley for CNN HOT 1
- AttributeError: 'DShap' object has no attribute 'marginals_tmc' HOT 1
- Is the model training is wrong? HOT 1
- Python version in this project
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