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F
ffm-baseline
Commit 27ae8fe8 authored by 张彦钊's avatar 张彦钊
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add time

parent 28b30cc0
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tensnsorflow/ffm.py
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...@@ -160,6 +160,7 @@ def get_data(): ...@@ -160,6 +160,7 @@ def get_data():
df["clevel1_id"] = df["clevel1_id"].astype("str") df["clevel1_id"] = df["clevel1_id"].astype("str")
df["y"] = df["y"].astype("str") df["y"] = df["y"].astype("str")
df["z"] = df["z"].astype("str") df["z"] = df["z"].astype("str")
df["top"] = df["top"].astype("str")
df["y"] = df["stat_date"].str.cat([df["y"].values.tolist(),df["z"].values.tolist()], sep=",") df["y"] = df["stat_date"].str.cat([df["y"].values.tolist(),df["z"].values.tolist()], sep=",")
df = df.drop(["z","stat_date"], axis=1).fillna(0.0) df = df.drop(["z","stat_date"], axis=1).fillna(0.0)
print(df.head(2)) print(df.head(2))
...@@ -218,6 +219,7 @@ def get_predict_set(ucity_id,model,ccity_name): ...@@ -218,6 +219,7 @@ def get_predict_set(ucity_id,model,ccity_name):
print(df.shape) print(df.shape)
df["cid_id"] = df["cid_id"].astype("str") df["cid_id"] = df["cid_id"].astype("str")
df["clevel1_id"] = df["clevel1_id"].astype("str") df["clevel1_id"] = df["clevel1_id"].astype("str")
df["top"] = df["top"].astype("str")
df["y"] = df["y"].astype("str") df["y"] = df["y"].astype("str")
df["z"] = df["z"].astype("str") df["z"] = df["z"].astype("str")
df["label"] = df["label"].astype("str") df["label"] = df["label"].astype("str")
......
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