Skip to content

F
ffm-baseline
Commit cb728f92 authored by 张彦钊's avatar 张彦钊
Browse files
Options

change test file

parent 9bb67dbc
Hide whitespace changes
Inline Side-by-side
Showing with 8 additions and 8 deletions
tensnsorflow/zhang.py
View file @ cb728f92
...@@ -335,10 +335,10 @@ def get_predict(date,value_map,app_list_map,leve2_map,leve3_map): ...@@ -335,10 +335,10 @@ def get_predict(date,value_map,app_list_map,leve2_map,leve3_map):
rdd.persist(storageLevel= StorageLevel.MEMORY_ONLY_SER) rdd.persist(storageLevel= StorageLevel.MEMORY_ONLY_SER)
# native_pre = spark.createDataFrame(rdd.filter(lambda x:x[0] == 0).map(lambda x:(x[3],x[4],x[5])))\ native_pre = spark.createDataFrame(rdd.filter(lambda x:x[0] == 0).map(lambda x:(x[3],x[4],x[5])))\
# .toDF("city","uid","cid_id") .toDF("city","uid","cid_id")
# print("native csv") print("native csv")
# native_pre.toPandas().to_csv(local_path+"native.csv", header=True) native_pre.toPandas().to_csv(local_path+"native.csv", header=True)
spark.createDataFrame(rdd.filter(lambda x: x[0] == 0) spark.createDataFrame(rdd.filter(lambda x: x[0] == 0)
.map(lambda x: (x[1], x[2], x[6], x[7], x[8], x[9], x[10], x[11], .map(lambda x: (x[1], x[2], x[6], x[7], x[8], x[9], x[10], x[11],
x[12], x[13], x[14], x[15], x[16], x[17], x[18]))) \ x[12], x[13], x[14], x[15], x[16], x[17], x[18]))) \
...@@ -349,10 +349,10 @@ def get_predict(date,value_map,app_list_map,leve2_map,leve3_map): ...@@ -349,10 +349,10 @@ def get_predict(date,value_map,app_list_map,leve2_map,leve3_map):
h = time.time() h = time.time()
print((h-f)/60) print((h-f)/60)
# nearby_pre = spark.createDataFrame(rdd.filter(lambda x: x[0] == 1).map(lambda x: (x[3], x[4], x[5]))) \ nearby_pre = spark.createDataFrame(rdd.filter(lambda x: x[0] == 1).map(lambda x: (x[3], x[4], x[5]))) \
# .toDF("city", "uid", "cid_id") .toDF("city", "uid", "cid_id")
# print("nearby csv") print("nearby csv")
# nearby_pre.toPandas().to_csv(local_path + "nearby.csv", header=True) nearby_pre.toPandas().to_csv(local_path + "nearby.csv", header=True)
spark.createDataFrame(rdd.filter(lambda x: x[0] == 1) spark.createDataFrame(rdd.filter(lambda x: x[0] == 1)
.map(lambda x: (x[1], x[2], x[6], x[7], x[8], x[9], x[10], x[11], .map(lambda x: (x[1], x[2], x[6], x[7], x[8], x[9], x[10], x[11],
......
Markdown is supported
0% or
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment