修改参数默认值

eda/smart_rank/tool.py

@@ -174,7 +174,7 @@ def get_tag2_from_tag3(tag3, all_3tag_2tag, user_log_df_tag2_list):
         print(e)
 
 
-def compute_henqiang(x, decay_days=180, normalization_size=7, exponential=1):
+def compute_henqiang(x, decay_days=180, normalization_size=7, exponential=0):
     if exponential:
         alpha = exponential_decay(x, decay_days, normalization_size)
         score = 15 - 2**alpha * ((15-0.5)/decay_days)
@@ -184,7 +184,7 @@ def compute_henqiang(x, decay_days=180, normalization_size=7, exponential=1):
         return score
     else:
         return 0.5
-def compute_jiaoqiang(x, decay_days=180, normalization_size=7, exponential=1):
+def compute_jiaoqiang(x, decay_days=180, normalization_size=7, exponential=0):
     if exponential:
         alpha = exponential_decay(x, decay_days, normalization_size)
         score = 12 - 2**alpha * ((12-0.5)/decay_days)
@@ -194,7 +194,7 @@ def compute_jiaoqiang(x, decay_days=180, normalization_size=7, exponential=1):
         return score
     else:
         return 0.5
-def compute_ruoyixiang(x, decay_days=180, normalization_size=7, exponential=1):
+def compute_ruoyixiang(x, decay_days=180, normalization_size=7, exponential=0):
     if exponential:
         alpha = exponential_decay(x, decay_days, normalization_size)
         score = 5 - 2**alpha * ((5-0.5)/decay_days)
@@ -204,7 +204,7 @@ def compute_ruoyixiang(x, decay_days=180, normalization_size=7, exponential=1):
         return score
     else:
         return 0.5
-def compute_validate(x, decay_days=180, normalization_size=7, exponential=1):
+def compute_validate(x, decay_days=180, normalization_size=7, exponential=0):
     if exponential:
         alpha = exponential_decay(x, decay_days, normalization_size)
         score = 10 - 2**alpha * ((10-0.5)/decay_days)
@@ -214,7 +214,7 @@ def compute_validate(x, decay_days=180, normalization_size=7, exponential=1):
         return score
     else:
         return 0.5
-def compute_ai_scan(x, decay_days=180, normalization_size=7, exponential=1):
+def compute_ai_scan(x, decay_days=180, normalization_size=7, exponential=0):
     if exponential:
         alpha = exponential_decay(x, decay_days, normalization_size)
         score = 2 - 2**alpha * ((2-0.5)/decay_days)