add liuxao

tensnsorflow/ffm.py

@@ -200,8 +200,8 @@ def transform(a,validate_date):
     test = test.drop("stat_date",axis=1)
     print("train shape")
     print(train.shape)
-    train.to_csv(path + "tr.csv", sep="\t", index=False)
-    test.to_csv(path + "va.csv", sep="\t", index=False)
+    # 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"]
     liuxiao.to_csv(path + "liuxiao.csv", index=False)
 
@@ -293,7 +293,7 @@ if __name__ == "__main__":
     a = time.time()
     temp, validate_date, ucity_id,ccity_name,manufacturer,channel = get_data()
     model = transform(temp, validate_date)
-    get_predict_set(ucity_id,model,ccity_name,manufacturer,channel)
+    # get_predict_set(ucity_id,model,ccity_name,manufacturer,channel)
     b = time.time()
     print("cost(分钟)")
     print((b-a)/60)