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Adding function to flatten nested lists 3 of 3 checklist items completed
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Update puma version 4 of 4 checklist items completed
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Use puma.Line2DPlot for training metrics plots 4 of 4 checklist items completed
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Input variable plots: Add option to specify x-label strings 4 of 4 checklist items completed
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Adding possibility to evaluate classes the freshly trained tagger is not trained on 4 of 4 checklist items completed
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Input variable plots: Adding support for dataset-specific class labels 4 of 4 checklist items completed
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Remove preprocessing config from loading functions 4 of 4 checklist items completed
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Apply naming scheme for WP and nEpochs 4 of 4 checklist items completed
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Adding correct naming scheme for train config sections 4 of 4 checklist items completed
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Merging load validation data functions 4 of 4 checklist items completed
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Update puma version to v0.1.7 4 of 4 checklist items completed
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Update training documentation 4 of 4 checklist items completed
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Removing var_dict from train config 3 of 3 checklist items completed
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Adding automatic creation of samples dict for the preprocessing config 4 of 4 checklist items completed
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Preprocess configs cleanup 4 of 4 checklist items completed
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Switching track variable precision to float32 4 of 4 checklist items completed
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More robust preprocessing configuration 4 of 4 checklist items completed
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Merge apply_scaling and write step in preprocessing 4 of 4 checklist items completed
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Splitting configuration into base class and some preprocessing adaptions 4 of 4 checklist items completed
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Merging evaluate_model script funtions + adapt pt_vs plots to be var_vs plots 4 of 4 checklist items completed