diff --git a/example_profile/example_config.yaml b/example_profile/example_config.yaml index a102f740..373bd791 100644 --- a/example_profile/example_config.yaml +++ b/example_profile/example_config.yaml @@ -36,7 +36,7 @@ PHONE_VALID_SENSED_BINS: PHONE_VALID_SENSED_DAYS: COMPUTE: False - MIN_VALID_HOURS_PER_DAY: &min_valid_hours_per_day [16] # (out of 24) MIN_HOURS_PER_DAY + MIN_VALID_HOURS_PER_DAY: &min_valid_hours_per_day [16, 20] # (out of 24) MIN_HOURS_PER_DAY MIN_VALID_BINS_PER_HOUR: &min_valid_bins_per_hour [6] # (out of 60min/BIN_SIZE bins) # Communication SMS features config, TYPES and FEATURES keys need to match @@ -243,12 +243,12 @@ OVERALL_COMPLIANCE_HEATMAP: ### Example Analysis ################################################################ PARAMS_FOR_ANALYSIS: - COMPUTE: False + COMPUTE: True GROUNDTRUTH_TABLE: participant_info TARGET_TABLE: participant_target SOURCES: &sources ["phone_features", "fitbit_features", "phone_fitbit_features"] DAY_SEGMENTS: *day_segments - PHONE_FEATURES: [accelerometer, activity_recognition, applications_foreground, battery, bluetooth, calls_incoming, calls_missed, calls_outgoing, conversation, light, location_doryab, messages_received, messages_sent, screen] + PHONE_FEATURES: [accelerometer, activity_recognition, applications_foreground, battery, bluetooth, calls_incoming, calls_missed, calls_outgoing, conversation, light, location_doryab, messages_received, messages_sent, screen, wifi] FITBIT_FEATURES: [fitbit_heartrate, fitbit_step, fitbit_sleep] PHONE_FITBIT_FEATURES: "" # This array is merged in the input_merge_features_of_single_participant function in models.snakefile DEMOGRAPHIC_FEATURES: [age, gender, inpatientdays] @@ -269,11 +269,11 @@ PARAMS_FOR_ANALYSIS: DAYS_AFTER_DISCHARGE: 5 #7 # Cleaning Parameters - COLS_NAN_THRESHOLD: [0.3] #[0.1, 0.3, 0.5] + COLS_NAN_THRESHOLD: [0.1, 0.3] COLS_VAR_THRESHOLD: True - ROWS_NAN_THRESHOLD: [0.3] #[0.1, 0.3, 0.5] - PARTICIPANT_DAYS_BEFORE_THRESHOLD: 3 #7 - PARTICIPANT_DAYS_AFTER_THRESHOLD: 2 #4 + ROWS_NAN_THRESHOLD: [0.1, 0.3] + PARTICIPANT_DAYS_BEFORE_THRESHOLD: 3 + PARTICIPANT_DAYS_AFTER_THRESHOLD: 3 # Extract summarised features from daily features with any of the following substrings NUMERICAL_OPERATORS: ["count", "sum", "length", "avg", "restinghr"]