<filename>courses/machine_learning/asl/open_project/time_series_anomaly_detection/tf_anomaly_detection_model_selection/anomaly_detection_module/trainer/globals.py
# Determine CSV and label columns
number_of_tags = 5
tag_columns = ["tag_{0}".format(tag) for tag in range(0, number_of_tags)]
UNLABELED_CSV_COLUMNS = tag_columns

LABEL_COLUMN = "anomalous_sequence_flag"
LABELED_CSV_COLUMNS = UNLABELED_CSV_COLUMNS + [LABEL_COLUMN]

# Set default values for each CSV column
UNLABELED_DEFAULTS = [[""] for _ in UNLABELED_CSV_COLUMNS]

LABELED_DEFAULTS = UNLABELED_DEFAULTS + [[0.0]]

<filename>courses/machine_learning/asl/open_project/time_series_anomaly_detection/tf_anomaly_detection_model_selection/anomaly_detection_module/trainer/globals.py
# Determine CSV and label columns
number_of_tags = 5
tag_columns = ["tag_{0}".format(tag) for tag in range(0, number_of_tags)]
UNLABELED_CSV_COLUMNS = tag_columns

LABEL_COLUMN = "anomalous_sequence_flag"
LABELED_CSV_COLUMNS = UNLABELED_CSV_COLUMNS + [LABEL_COLUMN]

# Set default values for each CSV column
UNLABELED_DEFAULTS = [[""] for _ in UNLABELED_CSV_COLUMNS]

LABELED_DEFAULTS = UNLABELED_DEFAULTS + [[0.0]]

# Determine CSV and label columns # Set default values for each CSV column