add print

tensnsorflow/ffm.py

@@ -248,6 +248,8 @@ def get_predict_set(ucity_id,model,ccity_name,manufacturer,channel):
     print(df.head(2))
     df = model.transform(df,n=160000, processes=22)
     df = pd.DataFrame(df)
+    print("after transform")
+    print(df.shape)
     df["label"] = df[0].apply(lambda x: x.split(",")[0])
     df["device_id"] = df[0].apply(lambda x: x.split(",")[1])
     df["city_id"] = df[0].apply(lambda x: x.split(",")[2])
@@ -259,8 +261,7 @@ def get_predict_set(ucity_id,model,ccity_name,manufacturer,channel):
     df["data"] = df["seq"].str.cat(df["data"], sep=",")
     df = df.drop([0, "seq"], axis=1)
     print(df.head())
-    print("after transform")
-    print(df.shape)
+
     print(df.loc[df["device_id"] == "358035085192742"].shape)
     native_pre = df[df["label"] == "0"]
     native_pre = native_pre.drop("label", axis=1)