删除日期特征

tensnsorflow/feature_engineering.py

@@ -72,9 +72,9 @@ def get_data():
     value_map = dict(zip(unique_values,temp))
 
     df = df.drop("device_id", axis=1)
-    train = df[df["stat_date"] != validate_date+"stat_date"]
+    train = df[df["stat_date"] != validate_date]
     train = train.drop("stat_date",axis=1)
-    test = df[df["stat_date"] == validate_date+"stat_date"]
+    test = df[df["stat_date"] == validate_date]
     test = test.drop("stat_date", axis=1)
     for i in ["ucity_id", "clevel1_id", "ccity_name", "device_type", "manufacturer",
                 "channel", "top", "l1", "time", "l2"]:

tensnsorflow/train.py

@@ -53,7 +53,7 @@ def input_fn(filenames, batch_size=32, num_epochs=1, perform_shuffle=False):
         features = {
             "y": tf.FixedLenFeature([], tf.float32),
             "z": tf.FixedLenFeature([], tf.float32),
-            "ids": tf.FixedLenFeature([11], tf.int64)
+            "ids": tf.FixedLenFeature([10], tf.int64)
         }
 
         parsed = tf.parse_single_example(record, features)