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Dev ccs
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Commits on Nov 12, 2024
test push 2
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Commits on Nov 13, 2024
loaded and preprocessed data
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add CCS prediction to pred_all function
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Commits on Nov 20, 2024
predict ccs values and calculate mse
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Commits on Nov 26, 2024
analysed what affects error rates
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Commits on Dec 13, 2024
added RARE_ELEMENTS
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added element distribution property
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rewrote parts that were deleted because of the crash
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Commits on Dec 17, 2024
Begin implementing abstract Trainer class
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Rename debug_mode variable
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Implement Super/Subclass of GNN.Trainer and test in debug mode
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Debug new trainer class
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Clean up trainer classes and checkpoint system | Tested in debug mode
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Perform 100% run
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Perform 75% run
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Perform 50% run
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Perform 25% run
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Perform 10% run & plot performances
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PropertyTrainer class defined to train model that does CCS predictions
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Commits on Jan 8, 2025
default value of with_rt and with_ccs set to True in forward func
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added element_distribution attribute
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created PropertyTrainer class, can be usedd to train a model according to a property
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added test keys to generate self.test_data
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created LinearModel and MLPModel, added test function to PropertyTrainer, Linear and MLP don't work well
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added more test metrics to get_default_metrics func
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added weight to as_geometric_data function
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fixed linear and mlp models, implemented more test statistics and visualization
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Commits on Feb 21, 2025
added 'precursor_positive' attribute
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linear and mlp model takes precursor_positive as input, filtered_df and new plots
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Commits on Feb 28, 2025
added Sulfur as a rare element
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added calc_abs_elem_distr function
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created more plots for Test Results
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Commits on Mar 31, 2025
added new features to linear and mlp model
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cleared all outputs
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Commits on Jun 24, 2025
added extra plots; implemented LoRA wrapper and benchmarking
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Commits on Sep 23, 2025
Metadaten um spaeter zu visualisieren
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LoRA Wrapper debug, leafs freezen
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Merge main
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