Comments (5)
working on reporting/storing the accuracy result in the csv format
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- setting simulation directories in the project config implementation
- working on reporting/storing best model in the models directory
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- implementing singleton config object for config,
- adding confusion matrix and ROC plot implmentation,
- testing testnet accuracy implemetation and out of sample prediction in the csv file with the right header files
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- Implementing confusion matrix, and its normalized form
- storing the matrices in the report directory
- storing the plots in figures directory
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- storing y_pred in the csv file in reports
- calculating accuracy and storing it
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Related Issues (20)
- building dataset with the size of 1k, 10k, 100k, 1m events from the mixed dataset HOT 1
- implementing cloud point classifier model HOT 1
- Implementing and training previous ML models with the different dataset size and draw error bar of them HOT 2
- Implement a visualization code two show a sample events in the array formal, 2-D plot format, and 3D cloud point representation HOT 1
- Implementing pointnet binary classifier model for eloss with k-folding for all dataset HOT 1
- Impmenting a Diffusion model to produce an event by getting eloss, alpha_s, and q0 params
- Implementing synthesis model based on pointnet HOT 1
- Implementing/Training PointNet for alpha_s with various epochs and folds and finding the best learning rate HOT 18
- Implementing GridSearchCV Hyper Tuning for PointNet to classify alpha_s HOT 3
- implementing/training pointnet for eloss with various 100 epochs and 1 fold various dataset sizes
- Making croissant metadata
- Refactoring project structure
- alpha_s Classification with MNIST Net
- alpha_s Classification with VGG16 Net HOT 1
- alpha_s Classification with Point Net
- alpha_s Classification with GAN
- alpha_s Classification with Transfer Learning
- R&D Project Structure Musts HOT 6
- alpha_s Classification with Test Net HOT 1
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