In EIS Wizard's Evaluation section, Statistics calculations gives the following error:
2025-07-02T10:09:05 INFO [OPENING EIS TOOLKIT]
2025-07-02T10:09:07 INFO 2025-07-02 10:09:07.445355: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2025-07-02T10:09:10 INFO WARNING:tensorflow:From E:\SGA2025_course\EIS_releases\venv\eis_toolkit\lib\site-packages\keras\src\losses.py:2976: The name tf.losses.sparse_softmax_cross_entropy is deprecated. Please use tf.compat.v1.losses.sparse_softmax_cross_entropy instead.
2025-07-02T10:09:10 INFO
2025-07-02T10:09:11 INFO Opening input files....
2025-07-02T10:09:11 INFO [OK] Input files read
2025-07-02T10:09:11 INFO
2025-07-02T10:09:11 INFO Running algorithm...
2025-07-02T10:09:11 INFO [OK] Algorithm run succesfully
2025-07-02T10:09:11 INFO
2025-07-02T10:09:11 INFO +--------------------- Traceback (most recent call last) ---------------------+
2025-07-02T10:09:11 INFO | E:\SGA2025_course\EIS_releases\venv\eis_toolkit\lib\site-packages\e |
2025-07-02T10:09:11 INFO | is_toolkit\cli.py:3762 in summarize_label_metrics_binary_cli |
2025-07-02T10:09:11 INFO | |
2025-07-02T10:09:11 INFO | 3759 with ProgressLog.running_algorithm(): |
2025-07-02T10:09:11 INFO | 3760 results_dict = summarize_label_metrics_binary(y_true=y_true, |
2025-07-02T10:09:11 INFO | 3761 |
2025-07-02T10:09:11 INFO | > 3762 ResultSender.send_dict_as_json(results_dict) |
2025-07-02T10:09:11 INFO | 3763 ProgressLog.finish() |
2025-07-02T10:09:12 INFO | 3764 |
2025-07-02T10:09:12 INFO | 3765 |
2025-07-02T10:09:12 INFO | |
2025-07-02T10:09:12 INFO | +-------------------------------- locals ---------------------------------+ |
2025-07-02T10:09:12 INFO | | _ = array([ True, True, True, ..., True, True, True]) | |
2025-07-02T10:09:12 INFO | | predictions = WindowsPath('C:/Users/AppData/Local/Temp/proce� | |
2025-07-02T10:09:12 INFO | | results_dict = { | |
2025-07-02T10:09:12 INFO | | 'Accuracy': 0.342, | |
2025-07-02T10:09:12 INFO | | 'Precision': 0.25, | |
2025-07-02T10:09:12 INFO | | 'Recall': 0.235, | |
2025-07-02T10:09:12 INFO | | 'F1_score': 0.242, | |
2025-07-02T10:09:12 INFO | | 'True_negatives': 9, | |
2025-07-02T10:09:12 INFO | | 'False_positives': 12, | |
2025-07-02T10:09:12 INFO | | 'False_negatives': 13, | |
2025-07-02T10:09:12 INFO | | 'True_positives': 4 | |
2025-07-02T10:09:12 INFO | | } | |
2025-07-02T10:09:12 INFO | | true_labels = WindowsPath('E:/SGA2025_course/Results/Proxies/� | |
2025-07-02T10:09:12 INFO | | y_pred = array([0., 0., 1., 0., 0., 0., 1., 0., 0., 1., 1., 1., | |
2025-07-02T10:09:12 INFO | | 0., 1., 0., 1., 1., | |
2025-07-02T10:09:12 INFO | | 0., 1., 0., 0., 0., 1., 1., 0., 0., 0., 0., 1., | |
2025-07-02T10:09:12 INFO | | 0., 0., 1., 1., 0., | |
2025-07-02T10:09:12 INFO | | 0., 0., 1., 1.], dtype=float32) | |
2025-07-02T10:09:12 INFO | | y_true = array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., | |
2025-07-02T10:09:12 INFO | | 0., 0., 0., 1., 0., | |
2025-07-02T10:09:12 INFO | | 1., 0., 1., 1., 1., 0., 0., 1., 1., 1., 1., 0., | |
2025-07-02T10:09:12 INFO | | 1., 1., 1., 1., 1., | |
2025-07-02T10:09:12 INFO | | 1., 1., 0., 1.], dtype=float32) | |
2025-07-02T10:09:12 INFO | +-------------------------------------------------------------------------+ |
2025-07-02T10:09:12 INFO | |
2025-07-02T10:09:12 INFO | E:\SGA2025_course\EIS_releases\venv\eis_toolkit\lib\site-packages\e |
2025-07-02T10:09:12 INFO | is_toolkit\cli.py:470 in send_dict_as_json |
2025-07-02T10:09:12 INFO | |
2025-07-02T10:09:12 INFO | 467 class ResultSender: # noqa: D101 |
2025-07-02T10:09:12 INFO | 468 @staticmethod |
2025-07-02T10:09:12 INFO | 469 def send_dict_as_json(dictionary: dict): # noqa: D102 |
2025-07-02T10:09:12 CRITICAL Run failed. Error: Expecting property name enclosed in double quotes: line 1 column 2 (char 1)
2025-07-02T10:09:12 INFO [CLOSING EIS TOOLKIT]
2025-07-02T10:09:12 INFO Results: {}
2025-07-02T10:09:12 INFO [OPENING EIS TOOLKIT]
2025-07-02T10:09:14 INFO 2025-07-02 10:09:14.824099: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2025-07-02T10:09:18 INFO WARNING:tensorflow:From E:\SGA2025_course\EIS_releases\venv\eis_toolkit\lib\site-packages\keras\src\losses.py:2976: The name tf.losses.sparse_softmax_cross_entropy is deprecated. Please use tf.compat.v1.losses.sparse_softmax_cross_entropy instead.
2025-07-02T10:09:18 INFO
2025-07-02T10:09:18 INFO Opening input files....
2025-07-02T10:09:18 INFO [OK] Input files read
2025-07-02T10:09:18 INFO
2025-07-02T10:09:18 INFO Running algorithm...
2025-07-02T10:09:18 INFO [OK] Algorithm run succesfully
2025-07-02T10:09:18 INFO
2025-07-02T10:09:18 INFO RESULTS
2025-07-02T10:09:18 INFO * roc_auc: 0.347
2025-07-02T10:09:18 INFO * log_loss: 0.752
2025-07-02T10:09:18 INFO * average_precision: 0.36
2025-07-02T10:09:18 INFO * brier_score_loss: 0.278
2025-07-02T10:09:18 INFO
2025-07-02T10:09:18 INFO [OK] Algorithm execution finished succesfully
2025-07-02T10:09:18 INFO
2025-07-02T10:09:19 INFO [CLOSING EIS TOOLKIT]
2025-07-02T10:09:19 INFO Results: {'average_precision': 0.36, 'brier_score_loss': 0.278, 'log_loss': 0.752, 'roc_auc': 0.347}
In EIS Wizard's Evaluation section, Statistics calculations gives the following error:
Failed to produce classification/label metricsComplete log as below: