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execute_config_custom.sh
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# Train and evaluate CNN model
python showcase/scripts/train_classification.py --config cnn-base-model-1
python showcase/scripts/train_classification.py --config cnn-base-model-2
python showcase/scripts/train_classification.py --config cnn-curve-pretrained
python showcase/scripts/train_classification.py --config cnn-curve-resume
python showcase/scripts/evaluate_classification.py --config cnn-curve-evaluate-init
python showcase/scripts/evaluate_classification.py --config cnn-curve-evaluate-trained
python showcase/scripts/evaluate_classification.py --config cnn-curve-evaluate-point
# Train and evaluate CNNBN model
python showcase/scripts/train_classification.py --config cnnbn-base-model-1
python showcase/scripts/train_classification.py --config cnnbn-base-model-2
python showcase/scripts/train_classification.py --config cnnbn-curve-pretrained
python showcase/scripts/train_classification.py --config cnnbn-curve-resume
python showcase/scripts/evaluate_classification.py --config cnnbn-curve-evaluate-init
python showcase/scripts/evaluate_classification.py --config cnnbn-curve-evaluate-trained
python showcase/scripts/evaluate_classification.py --config cnnbn-curve-evaluate-point
# Train and evaluate MLP model
python showcase/scripts/train_regression.py --config mlp-base-model-1
python showcase/scripts/train_regression.py --config mlp-base-model-2
python showcase/scripts/train_regression.py --config mlp-curve-pretrained
python showcase/scripts/train_regression.py --config mlp-curve-resume
python showcase/scripts/evaluate_regression.py --config mlp-curve-evaluate-init
python showcase/scripts/evaluate_regression.py --config mlp-curve-evaluate-trained
python showcase/scripts/evaluate_regression.py --config mlp-curve-evaluate-point