add liuxao

tensnsorflow/ffm.py

@@ -164,6 +164,14 @@ def get_data():
     df["z"] = df["z"].astype("str")
     df["top"] = df["top"].astype("str")
     df["y"] = df["stat_date"].str.cat([df["device_id"].values.tolist(),df["y"].values.tolist(),df["z"].values.tolist()], sep=",")
+
+    liuxiao = df[(df["device_id"] == "358035085192742") & (df["y"] == "1")]
+    liuxiao.to_csv(path + "beforeliuxiao.csv", index=False)
+    print(liuxiao.head())
+    liuxiao = df[(df["device_id"] == "358035085192742") & (df["y"] == 1)]
+    liuxiao.to_csv(path + "1beforeliuxiao.csv", index=False)
+    print(liuxiao.head())
+
     df = df.drop(["z","stat_date","device_id"], axis=1).fillna(0.0)
     print(df.head(2))
     features = 0
@@ -202,8 +210,10 @@ def transform(a,validate_date):
     print(train.shape)
     # train.to_csv(path + "tr.csv", sep="\t", index=False)
     # test.to_csv(path + "va.csv", sep="\t", index=False)
-    liuxiao = df[(df["device_id"] == "358035085192742") & (df["y"]==1)]
+    liuxiao = df[(df["device_id"] == "358035085192742") & (df["y"]=="1")]
     liuxiao.to_csv(path + "liuxiao.csv", index=False)
+    liuxiao = df[(df["device_id"] == "358035085192742") & (df["y"] == 1)]
+    liuxiao.to_csv(path + "liuxiao1.csv", index=False)
 
     return model