32 lines
896 B
Python
32 lines
896 B
Python
import logging
|
|
import math
|
|
|
|
# Configure logging
|
|
logging.basicConfig(
|
|
level=logging.INFO,
|
|
format="%(asctime)s [%(levelname)s] %(name)s - %(message)s",
|
|
)
|
|
logger = logging.getLogger(__name__)
|
|
|
|
def post_processing(data):
|
|
try:
|
|
prediction = data.get("prediction", 0)
|
|
score_g1 = round(
|
|
min(prediction * 100 + 0.00001, 1) * 89 +
|
|
max(math.log2(prediction * 100 + 0.000001) * 193, 0),
|
|
0
|
|
)
|
|
data["hd_score_g1"] = score_g1
|
|
logger.info(f"score_g1 calculated: {score_g1}")
|
|
except Exception as e:
|
|
logger.error(f"Error processing score_g1 calculations: {e}")
|
|
|
|
return {
|
|
key: data.get(key, None)
|
|
for key in [
|
|
"hd_score_m1", "hd_score_g1", "cluster_size_users_v2",
|
|
"target_connected_30_sum", "email_cnt", "rejected_app_count",
|
|
"app_dt_day_cnt"
|
|
]
|
|
}
|