修改ffm转化函数，改成features累计相加

tensnsorflow/ffm.py

@@ -259,7 +259,7 @@ def get_predict_set(ucity_id,model,ccity_name,manufacturer,channel):
     df["y"] = df["label"].str.cat(
         [df["device_id"].values.tolist(), df["ucity_id"].values.tolist(), df["cid_id"].values.tolist(),
          df["y"].values.tolist(), df["z"].values.tolist()], sep=",")
-    df = df.drop(["z","label","device_id","cid_id"], axis=1).fillna(0.0)
+    df = df.drop(["z","label","device_id","cid_id"], axis=1).fillna("na")
     print("before transform")
     print(df.shape)
     temp_series = model.transform(df,n=160000, processes=22)