Mercurial > repos > goeckslab > image_learner

comparison constants.py @ 8:85e6f4b2ad18 draft default tip

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planemo upload for repository https://github.com/goeckslab/gleam.git commit 8a42eb9b33df7e1df5ad5153b380e20b910a05b6
author goeckslab
date Thu, 14 Aug 2025 14:53:10 +0000
parents 2c3a3dfaf1a9
children
comparison
equal deleted inserted replaced
7:801a8b6973fb 8:85e6f4b2ad18
85 "mobilenet_v3_large": {"type": "mobilenetv3", "model_variant": "large"}, 85 "mobilenet_v3_large": {"type": "mobilenetv3", "model_variant": "large"},
86 "mobilenet_v3_small": {"type": "mobilenetv3", "model_variant": "small"}, 86 "mobilenet_v3_small": {"type": "mobilenetv3", "model_variant": "small"},
87 } 87 }
88 METRIC_DISPLAY_NAMES = { 88 METRIC_DISPLAY_NAMES = {
89 "accuracy": "Accuracy", 89 "accuracy": "Accuracy",
90 "accuracy_micro": "Accuracy-Micro", 90 "accuracy_micro": "Micro Accuracy",
91 "loss": "Loss", 91 "loss": "Loss",
92 "roc_auc": "ROC-AUC", 92 "roc_auc": "ROC-AUC",
93 "roc_auc_macro": "ROC-AUC-Macro", 93 "roc_auc_macro": "Macro ROC-AUC",
94 "roc_auc_micro": "ROC-AUC-Micro", 94 "roc_auc_micro": "Micro ROC-AUC",
95 "hits_at_k": "Hits at K", 95 "hits_at_k": "Hits at K",
96 "precision": "Precision", 96 "precision": "Precision",
97 "recall": "Recall", 97 "recall": "Recall",
98 "specificity": "Specificity", 98 "specificity": "Specificity",
99 "kappa_score": "Cohen's Kappa", 99 "kappa_score": "Cohen's Kappa",
100 "token_accuracy": "Token Accuracy", 100 "token_accuracy": "Token Accuracy",
101 "avg_precision_macro": "Precision-Macro", 101 "avg_precision_macro": "Macro Precision",
102 "avg_recall_macro": "Recall-Macro", 102 "avg_recall_macro": "Macro Recall",
103 "avg_f1_score_macro": "F1-score-Macro", 103 "avg_f1_score_macro": "Macro F1-score",
104 "avg_precision_micro": "Precision-Micro", 104 "avg_precision_micro": "Micro Precision",
105 "avg_recall_micro": "Recall-Micro", 105 "avg_recall_micro": "Micro Recall",
106 "avg_f1_score_micro": "F1-score-Micro", 106 "avg_f1_score_micro": "Micro F1-score",
107 "avg_precision_weighted": "Precision-Weighted", 107 "avg_precision_weighted": "Weighted Precision",
108 "avg_recall_weighted": "Recall-Weighted", 108 "avg_recall_weighted": "Weighted Recall",
109 "avg_f1_score_weighted": "F1-score-Weighted", 109 "avg_f1_score_weighted": "Weighted F1-score",
110 "average_precision_macro": "Precision-Average-Macro", 110 "average_precision_macro": "Macro Precision-Average",
111 "average_precision_micro": "Precision-Average-Micro", 111 "average_precision_micro": "Micro Precision-Average",
112 "average_precision_samples": "Precision-Average-Samples", 112 "average_precision_samples": "Precision-Average-Samples",
113 "mean_squared_error": "Mean Squared Error", 113 "mean_squared_error": "Mean Squared Error",
114 "mean_absolute_error": "Mean Absolute Error", 114 "mean_absolute_error": "Mean Absolute Error",
115 "r2": "R² Score", 115 "r2": "R² Score",
116 "root_mean_squared_error": "Root Mean Squared Error", 116 "root_mean_squared_error": "Root Mean Squared Error",