八斗大数据19期2021年价值9980元冲击百万年薪完结无秘

【19期-01】开学典礼+推荐系统架构

code

cf

data

recall_path1

__pycache__

ppt

课堂笔记

视频

【19期-02】基于物品的协同过滤+kmenas [4.02G]

code [1.74M]

cf [1.72M]

data [1.71M]

ua.base [1.71M]

recall_path1 [10.30K]

__pycache__ [2.38K]

base.cpython-36.pyc [1.37K]

load_data.cpython-36.pyc [1.01K]

base.py [2.76K]

load_data.py [2.05K]

test_cf.py [0.50K]

user_cf.py [2.61K]

baseitemcf.py [4.51K]

baseusercf.py [8.98K]

spyder.py [6.59K]

ppt [63.82M]

01开学典礼.pdf [919.84K]

02推荐系统.pdf [1.45M]

03推荐系统架构.pdf [815.19K]

04推荐算法_协同过滤_kmenas聚类.pdf [2.60M]

draw.io-12.3.2-windows-no-installer.exe [58.07M]

笔记 [61.07K]

绘图上午.drawio [51.45K]

绘图下午.drawio [5.59K]

上午笔记.txt [0.57K]

下午笔记.txt [3.46K]

视频 [3.96G]

03_回顾+基于用户的协同过滤.mp4 [1.01G]

04_基于物品的协同过滤+业界应用.mp4 [1.01G]

1回顾+协同过滤理论.mp4 [760.54M]

2协同过滤业界问题+代码.mp4 [1.20G]

【19期-03】基于聚类kmenas+mr [4.75G]

code [2.55M]

cf+课堂笔记 [1.75M]

cf [1.72M]

data [1.71M]

ua.base [1.71M]

recall_path1 [10.30K]

__pycache__ [2.38K]

base.cpython-36.pyc [1.37K]

load_data.cpython-36.pyc [1.01K]

base.py [2.76K]

load_data.py [2.05K]

test_cf.py [0.50K]

user_cf.py [2.61K]

baseitemcf.py [12.21K]

baseusercf.py [8.98K]

scale.py [0.29K]

spyder.py [8.98K]

cluster [815.21K]

data [795.57K]

centers.txt [0.08K]

clusetr_data.csv [751.99K]

user_info.txt [43.51K]

canopy.py [2.17K]

canopy_kmeans.py [0.81K]

cluster_metrics.py [0.30K]

kmeans.py [5.11K]

test.py

聚类+标准化.py [11.23K]

引入时间衰减 [7.34K]

baseitemcfdemo.py [7.34K]

ppt [10.02M]

01hadoop+hdfs.pptx [1.54M]

02hadpop+mapreduce.pptx [2.28M]

03yarn.pptx [3.37M]

04hadoop案例分析.pptx [1.21M]

05数据类型以及常用数据处理.pptx [1.63M]

笔记 [11.68K]

上午笔记.txt [9.24K]

下午笔记.txt [2.44K]

视频 [4.74G]

01_知识回顾+基于物品的协同过滤.mp4 [1.42G]

02_kmeans聚类算法+聚类推荐.mp4 [1.00G]

03_回顾+标准化_归一化.mp4 [995.48M]

04_聚类算法详解.mp4 [1.35G]

【19期-04】hadoop+hdfs+mr [5.24G]

code [42.16M]

hadoop_badou [42.16M]

.idea [63.51K]

compiler.xml [0.52K]

misc.xml [0.53K]

uidesigner.xml [8.59K]

workspace.xml [53.87K]

src [146.72K]

main [146.72K]

java [141.73K]

hadoop_test [141.73K]

avg_demo_03 [2.63K]

avgdriver.java [1.22K]

avgmapper.java [0.70K]

avgreducer.java [0.72K]

avro_test_05 [4.37K]

domain [1.30K]

flowbean.java [1.30K]

flow [3.07K]

flowdriver.java [1.20K]

flowmapper.java [0.83K]

flowreducer.java [1.04K]

cf [20.91K]

recommendation_usercf [20.91K]

fileutil.java [0.58K]

step1_makeuseritemdict.java [3.05K]

step2_similarity.java [5.97K]

step3_itemuser.java [2.52K]

step4_predictscore.java [4.65K]

step5_recommand_item.java [4.13K]

combiner_07 [3.26K]

wordcountcombine.java [0.55K]

wordcountdriver.java [1.46K]

wordmapper.java [0.61K]

wordreducer.java [0.64K]

data_duplicate_demo_02 [2.46K]

dupdriver.java [1.46K]

dupmapper.java [0.52K]

dupreducer.java [0.48K]

filter [2.46K]

bloomfilter.java [2.06K]

main.java [0.40K]

friend_11 [3.94K]

findfriend.java [3.94K]

homework [33.04K]

homework2 [28.58K]

cluster_step1 [20.66K]

datasource.java [0.79K]

initrandomcenter.java [4.83K]

kmeanscombiner.java [1.71K]

kmeansdriver.java [3.18K]

kmeansmap.java [2.13K]

kmeansmappredict.java [2.19K]

kmeansreduce.java [1.28K]

util.java [4.55K]

newsid_hot2 [7.92K]

clustersortcombiner.java [1.39K]

clustersortmapper.java [0.78K]

clustersortreducer.java [1.32K]

countclickcombiner.java [0.57K]

countclickmapper.java [0.78K]

countclickreducer.java [0.65K]

groupsort.java [2.42K]

test_date.java [0.88K]

usercountcombine.java [0.55K]

usercountdriver.java [1.58K]

usermapper.java [0.79K]

userreducer.java [0.67K]

kmeans_demo_13 [15.27K]

datasource.java [0.69K]

initrandomcenter.java [3.75K]

kmeansdriver.java [2.89K]

kmeansmap.java [2.19K]

kmeansreduce.java [1.35K]

util.java [4.38K]

little_files_12 [10.14K]

seq.java [4.33K]

wordcountdriverintput.java [1.53K]

wordcountdriveroutput.java [2.55K]

wordmapper.java [0.61K]

wordreducer.java [1.12K]

matrix_mutil_13 [6.21K]

matrix_mutil.java [6.21K]

min_max_demo_04 [2.39K]

maxdriver.java [1.06K]

maxmapper.java [0.66K]

maxreducer.java [0.67K]

mutil_files_09 [4.63K]

domain [1.29K]

score.java [1.29K]

score [3.34K]

scoredriver.java [1.29K]

scoremapper.java [1.29K]

scorereducer.java [0.76K]

mutil_mr_10 [5.58K]

company [0.95K]

doublemr.java [0.95K]

mr1 [2.72K]

firstmrdriver.java [1.30K]

firstmrmapper.java [0.74K]

firstmrreducer.java [0.68K]

mr2 [1.91K]

secondmrdriver.java [1.20K]

secondmrmapper.java [0.71K]

partition_test_06 [4.89K]

domain [1.37K]

flowbean.java [1.37K]

flow [3.52K]

flowdriver.java [1.30K]

flowmapper.java [0.76K]

flowpartitioner.java [0.75K]

flowreducer.java [0.71K]

sort_test_08 [6.16K]

domain [0.93K]

movie.java [0.93K]

sort [1.86K]

sortdriver.java [1.12K]

sortmapper.java [0.75K]

totalsort [3.36K]

totalsortdriver.java [1.32K]

totalsortmapper.java [0.66K]

totalsortpartitioner.java [0.81K]

totalsortreducer.java [0.57K]

word_count_demo_01 [4.06K]

wordcountcombine.java [0.56K]

wordcountdriver.java [1.63K]

wordmapper.java [1.19K]

wordreducer.java [0.68K]

data_utils.java [0.42K]

test_connet.java [1.64K]

utils_hadoop.java [7.27K]

resources [4.99K]

core-site.xml [1.11K]

hdfs-site.xml [1.34K]

hive-site.xml [2.20K]

log4j.properties [0.34K]

target [41.95M]

classes [276.31K]

hadoop_test [271.32K]

avg_demo_03 [6.29K]

avgdriver.class [1.75K]

avgmapper.class [2.18K]

avgreducer.class [2.36K]

avro_test_05 [9.03K]

domain [2.03K]

flowbean.class [2.03K]

flow [7.00K]

flowdriver.class [1.94K]

flowmapper.class [2.53K]

flowreducer.class [2.53K]

cf [46.04K]

recommendation_usercf [46.04K]

fileutil.class [1.04K]

step1_makeuseritemdict$mapper1.class [2.37K]

step1_makeuseritemdict$reduce1.class [3.69K]

step1_makeuseritemdict.class [1.92K]

step2_similarity$mapper2.class [5.76K]

step2_similarity$reduce2.class [2.73K]

step2_similarity.class [1.90K]

step3_itemuser$mapper3.class [2.63K]

step3_itemuser$reduce3.class [2.73K]

step3_itemuser.class [1.89K]

step4_predictscore$mapper4.class [5.19K]

step4_predictscore$reduce4.class [2.74K]

step4_predictscore.class [1.92K]

step5_recommand_item$mapper5.class [4.85K]

step5_recommand_item$reduce5.class [2.75K]

step5_recommand_item.class [1.93K]

combiner_07 [8.81K]

wordcountcombine.class [2.23K]

wordcountdriver.class [2.03K]

wordmapper.class [2.18K]

wordreducer.class [2.37K]

data_duplicate_demo_02 [5.65K]

dupdriver.class [1.76K]

dupmapper.class [1.92K]

dupreducer.class [1.96K]

filter [3.12K]

bloomfilter$hash.class [0.82K]

bloomfilter.class [1.48K]

main.class [0.82K]

friend_11 [11.60K]

findfriend.class [2.08K]

friendmapper.class [2.19K]

friendmapper1.class [2.46K]

friendreducer.class [2.38K]

friendreducer1.class [2.49K]

homework [65.43K]

homework2 [54.85K]

cluster_step1 [31.89K]

datasource.class [1.04K]

initmap.class [2.28K]

initrandomcenter.class [2.66K]

initreduce.class [4.43K]

kmeanscombiner.class [3.36K]

kmeansdriver.class [2.90K]

kmeansmap.class [3.73K]

kmeansmappredict.class [3.84K]

kmeansreduce.class [3.36K]

util.class [4.29K]

newsid_hot2 [22.96K]

clustersortcombiner$1.class [1.77K]

clustersortcombiner.class [3.72K]

clustersortmapper.class [2.30K]

clustersortreducer$1.class [1.76K]

clustersortreducer.class [3.85K]

countclickcombiner.class [2.25K]

countclickmapper.class [2.43K]

countclickreducer.class [2.29K]

groupsort.class [2.59K]

test_date.class [1.59K]

usercountcombine.class [2.22K]

usercountdriver.class [1.92K]

usermapper.class [2.60K]

userreducer.class [2.25K]

kmeans_demo_13 [22.07K]

datasource.class [0.93K]

initmap.class [1.74K]

initrandomcenter.class [2.34K]

initreduce.class [3.78K]

kmeansdriver.class [2.32K]

kmeansmap.class [3.91K]

kmeansreduce.class [3.08K]

util.class [3.97K]

little_files_12 [13.65K]

seq.class [4.56K]

wordcountdriverintput.class [2.09K]

wordcountdriveroutput.class [2.43K]

wordmapper.class [2.19K]

wordreducer.class [2.38K]

matrix_mutil_13 [9.77K]

matrix_mutil.class [2.59K]

matrixmapper.class [3.91K]

matrixreducer.class [3.27K]

min_max_demo_04 [6.47K]

maxdriver.class [1.73K]

maxmapper.class [2.19K]

maxreducer.class [2.54K]

mutil_files_09 [9.56K]

domain [2.04K]

score.class [2.04K]

score [7.52K]

scoredriver.class [2.03K]

scoremapper.class [2.96K]

scorereducer.class [2.54K]

mutil_mr_10 [13.02K]

company [1.90K]

doublemr.class [1.90K]

mr1 [6.89K]

firstmrdriver.class [1.99K]

firstmrmapper.class [2.36K]

firstmrreducer.class [2.54K]

mr2 [4.24K]

secondmrdriver.class [1.80K]

secondmrmapper.class [2.44K]

partition_test_06 [10.33K]

domain [2.05K]

flowbean.class [2.05K]

flow [8.28K]

flowdriver.class [2.10K]

flowmapper.class [2.42K]

flowpartitioner.class [1.17K]

flowreducer.class [2.58K]

sort_test_08 [13.91K]

domain [1.91K]

movie.class [1.91K]

sort [4.22K]

sortdriver.class [1.79K]

sortmapper.class [2.42K]

totalsort [7.78K]

totalsortdriver.class [2.10K]

totalsortmapper.class [2.31K]

totalsortpartitioner.class [1.13K]

totalsortreducer.class [2.23K]

word_count_demo_01 [8.80K]

wordcountcombine.class [2.24K]

wordcountdriver.class [1.98K]

wordmapper.class [2.31K]

wordreducer.class [2.27K]

data_utils.class [0.92K]

test_connet.class [0.69K]

utils_hadoop.class [6.17K]

core-site.xml [1.11K]

hdfs-site.xml [1.34K]

hive-site.xml [2.20K]

log4j.properties [0.34K]

maven-archiver [0.12K]

pom.properties [0.12K]

maven-status [8.21K]

maven-compiler-plugin [8.21K]

compile [8.21K]

default-compile [8.21K]

createdfiles.lst [3.76K]

inputfiles.lst [4.45K]

testcompile

default-testcompile

inputfiles.lst

hadoop_badou-1.0-snapshot.jar [94.92K]

hadoop_badou-1.0-snapshot-jar-with-dependencies.jar [41.58M]

hadoop_badou.iml [0.08K]

pom.xml [3.49K]

mr.py [1.73K]

data [927.85M]

hadoop_test [927.85M]

avg [0.11K]

result [0.03K]

_success

part-r-00000 [0.03K]

avg.txt [0.08K]

avro [0.51K]

result [0.19K]

_success

part-r-00000 [0.19K]

avro.txt [0.32K]

cf [38.75M]

final_result [14.11M]

_success

part-r-00000 [14.11M]

item_user [526.91K]

_success

part-r-00000 [526.91K]

predict_score [15.02M]

_success

part-r-00000 [15.02M]

user_item [526.71K]

_success

part-r-00000 [526.71K]

user_simresult [6.89M]

_success

part-r-00000 [6.89M]

ua.base [1.71M]

combine [543.88K]

result [114.45K]

_success

part-r-00000 [114.45K]

wordcount.txt [429.43K]

dup [0.48K]

word_count_result [0.10K]

_success

part-r-00000 [0.10K]

dup.txt [0.38K]

findfriend [947.49K]

result [882.31K]

result1 [806.34K]

_success

part-r-00000 [806.34K]

_success

part-r-00000 [75.98K]

friend.txt [65.18K]

kmeans [61.93K]

new_path [31.06K]

_success

part-r-00000 [31.06K]

old_path [0.30K]

part-r-00000 [0.30K]

user_info.txt [30.57K]

little_file [851.74M]

1_day.txt [1.71M]

10_day.txt [1.66M]

100_day.txt [1.68M]

101_day.txt [1.73M]

102_day.txt [1.68M]

103_day.txt [1.71M]

104_day.txt [1.72M]

105_day.txt [1.70M]

106_day.txt [1.70M]

107_day.txt [1.71M]

108_day.txt [1.70M]

109_day.txt [1.69M]

11_day.txt [1.70M]

110_day.txt [1.70M]

111_day.txt [1.71M]

112_day.txt [1.70M]

113_day.txt [1.71M]

114_day.txt [1.71M]

115_day.txt [1.71M]

116_day.txt [1.67M]

117_day.txt [1.69M]

118_day.txt [1.73M]

119_day.txt [1.68M]

12_day.txt [1.69M]

120_day.txt [1.70M]

121_day.txt [1.72M]

122_day.txt [1.70M]

123_day.txt [1.70M]

124_day.txt [1.69M]

125_day.txt [1.71M]

126_day.txt [1.70M]

127_day.txt [1.71M]

128_day.txt [1.70M]

129_day.txt [1.72M]

13_day.txt [1.67M]

130_day.txt [1.67M]

131_day.txt [1.73M]

132_day.txt [1.72M]

133_day.txt [1.71M]

134_day.txt [1.69M]

135_day.txt [1.68M]

136_day.txt [1.69M]

137_day.txt [1.70M]

138_day.txt [1.70M]

139_day.txt [1.71M]

14_day.txt [1.70M]

140_day.txt [1.71M]

141_day.txt [1.69M]

142_day.txt [1.71M]

143_day.txt [1.70M]

144_day.txt [1.69M]

145_day.txt [1.70M]

146_day.txt [1.69M]

147_day.txt [1.68M]

148_day.txt [1.70M]

149_day.txt [1.73M]

15_day.txt [1.72M]

150_day.txt [1.68M]

151_day.txt [1.73M]

152_day.txt [1.69M]

153_day.txt [1.70M]

154_day.txt [1.70M]

155_day.txt [1.70M]

156_day.txt [1.70M]

157_day.txt [1.68M]

158_day.txt [1.72M]

159_day.txt [1.69M]

16_day.txt [1.70M]

160_day.txt [1.68M]

161_day.txt [1.69M]

162_day.txt [1.71M]

163_day.txt [1.68M]

164_day.txt [1.72M]

165_day.txt [1.70M]

166_day.txt [1.71M]

167_day.txt [1.68M]

168_day.txt [1.69M]

169_day.txt [1.69M]

17_day.txt [1.69M]

170_day.txt [1.70M]

171_day.txt [1.70M]

172_day.txt [1.69M]

173_day.txt [1.71M]

174_day.txt [1.72M]

175_day.txt [1.70M]

176_day.txt [1.70M]

177_day.txt [1.69M]

178_day.txt [1.69M]

179_day.txt [1.70M]

18_day.txt [1.69M]

180_day.txt [1.71M]

181_day.txt [1.70M]

182_day.txt [1.69M]

183_day.txt [1.71M]

184_day.txt [1.70M]

185_day.txt [1.70M]

186_day.txt [1.71M]

187_day.txt [1.69M]

188_day.txt [1.71M]

189_day.txt [1.70M]

19_day.txt [1.69M]

190_day.txt [1.70M]

191_day.txt [1.71M]

192_day.txt [1.69M]

193_day.txt [1.71M]

194_day.txt [1.69M]

195_day.txt [1.70M]

196_day.txt [1.67M]

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198_day.txt [1.71M]

199_day.txt [1.70M]

2_day.txt [1.70M]

20_day.txt [1.70M]

200_day.txt [1.70M]

201_day.txt [1.69M]

202_day.txt [1.70M]

203_day.txt [1.73M]

204_day.txt [1.69M]

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206_day.txt [1.69M]

207_day.txt [1.71M]

208_day.txt [1.68M]

209_day.txt [1.69M]

21_day.txt [1.71M]

210_day.txt [1.69M]

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213_day.txt [1.71M]

214_day.txt [1.70M]

215_day.txt [1.68M]

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217_day.txt [1.71M]

218_day.txt [1.70M]

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22_day.txt [1.69M]

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228_day.txt [1.73M]

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23_day.txt [1.68M]

230_day.txt [1.70M]

231_day.txt [1.69M]

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233_day.txt [1.69M]

234_day.txt [1.68M]

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239_day.txt [1.69M]

24_day.txt [1.71M]

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248_day.txt [1.71M]

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25_day.txt [1.70M]

250_day.txt [1.73M]

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253_day.txt [1.69M]

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26_day.txt [1.70M]

260_day.txt [1.69M]

261_day.txt [1.70M]

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263_day.txt [1.67M]

264_day.txt [1.69M]

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494_day.txt [1.70M]

495_day.txt [1.72M]

496_day.txt [1.70M]

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498_day.txt [1.69M]

499_day.txt [1.69M]

5_day.txt [1.70M]

50_day.txt [1.71M]

500_day.txt [1.72M]

501_day.txt [1.14M]

51_day.txt [1.69M]

52_day.txt [1.72M]

53_day.txt [1.68M]

54_day.txt [1.71M]

55_day.txt [1.70M]

56_day.txt [1.70M]

57_day.txt [1.69M]

58_day.txt [1.72M]

59_day.txt [1.71M]

6_day.txt [1.68M]

60_day.txt [1.71M]

61_day.txt [1.69M]

62_day.txt [1.72M]

63_day.txt [1.70M]

64_day.txt [1.71M]

65_day.txt [1.69M]

66_day.txt [1.70M]

67_day.txt [1.70M]

68_day.txt [1.67M]

69_day.txt [1.72M]

7_day.txt [1.70M]

70_day.txt [1.70M]

71_day.txt [1.71M]

72_day.txt [1.72M]

73_day.txt [1.71M]

74_day.txt [1.70M]

75_day.txt [1.70M]

76_day.txt [1.69M]

77_day.txt [1.68M]

78_day.txt [1.68M]

79_day.txt [1.69M]

8_day.txt [1.70M]

80_day.txt [1.70M]

81_day.txt [1.70M]

82_day.txt [1.70M]

83_day.txt [1.72M]

84_day.txt [1.72M]

85_day.txt [1.71M]

86_day.txt [1.70M]

87_day.txt [1.69M]

88_day.txt [1.69M]

89_day.txt [1.70M]

9_day.txt [1.68M]

90_day.txt [1.72M]

91_day.txt [1.70M]

92_day.txt [1.71M]

93_day.txt [1.73M]

94_day.txt [1.70M]

95_day.txt [1.70M]

96_day.txt [1.73M]

97_day.txt [1.73M]

98_day.txt [1.70M]

99_day.txt [1.70M]

little_trans_big [32.53M]

big.seq [32.53M]

m_file_test [0.51K]

result [0.19K]

_success

part-r-00000 [0.19K]

chinese.txt [0.11K]

english.txt [0.11K]

math.txt [0.11K]

matr [0.04K]

a.txt [0.03K]

b.txt [0.01K]

muti_mr [0.16K]

mutil_mr.txt [0.16K]

pymr [1.72M]

result [7.58K]

_success

part-00000 [7.58K]

ua.base [1.71M]

sort_test [0.61K]

result1 [0.30K]

_success

part-r-00000 [0.30K]

sort.txt [0.11K]

sort2.txt [0.20K]

word_count [822.78K]

re1 [114.45K]

_success

part-r-00000 [114.45K]

word_count_result [278.89K]

_success

part-r-00000 [278.89K]

acticle.txt [429.43K]

user_info.txt [800.06K]

ppt [10.02M]

01hadoop+hdfs.pptx [1.54M]

02hadpop+mapreduce.pptx [2.28M]

03yarn.pptx [3.37M]

04hadoop案例分析.pptx [1.21M]

05数据类型以及常用数据处理.pptx [1.63M]

笔记 [336.62K]

上午笔记.txt [2.88K]

上午绘图.drawio [92.85K]

下午笔记.txt [3.52K]

下午绘图.drawio [237.16K]

作业.txt [0.21K]

视频 [4.28G]

01hadoop+hdfs.mp4 [651.67M]

02hadoop+mapreduce.mp4 [1.21G]

03_hadoop+mapreduce深度分析.avi [781.93M]

03_hadoop+mapreduce深度分析.mp4 [906.32M]

04_combiner.mp4 [808.62M]

【19期-05】hadoop实战 [2.90G]

ppt [10.02M]

01hadoop+hdfs.pptx [1.54M]

02hadpop+mapreduce.pptx [2.28M]

03yarn.pptx [3.37M]

04hadoop案例分析.pptx [1.21M]

05数据类型以及常用数据处理.pptx [1.63M]

笔记 [14.67K]

上午笔记.txt [8.76K]

下午笔记.txt [5.91K]

绘图 [186.89K]

上午绘图.drawio [80.42K]

下午绘图.drawio [106.47K]

视频 [2.89G]

案例01.mp4 [768.63M]

案例02.mp4 [756.54M]

案例03.mp4 [650.90M]

案例04.mp4 [787.63M]

作业 [0.12K]

作业.txt [0.12K]

【19期-06】hadoop结尾+hive [3.26G]

data [2.79M]

test_sample.csv [1.36M]

train_sample.csv [1.42M]

ppt [3.54M]

hive大数据利器.pptx [1.98M]

hive优化.pptx [1.56M]

笔记 [19.07K]

大作业.txt [2.61K]

上午笔记.txt [6.73K]

下午笔记.txt [9.14K]

小作业.txt [0.59K]

视频 [3.25G]

01hadoop实现k-means.mp4 [818.31M]

02hadoop完结.mp4 [886.77M]

03hive开端.mp4 [841.20M]

04hive函数.mp4 [782.99M]

作业 [2.71K]

大作业.txt [2.12K]

小作业.txt [0.59K]

笔录.txt [0.67K]

【19期-07】hive作业+hive优化上

data

little_file

brand

user_info

movies

project1

ppt

笔记

绘图

视频

作业

【19期-08】hive优化下+spark开端 [4.98G]

code [122.81M]

hiveudf [122.81M]

.idea

src [94.23K]

main [94.23K]

java [94.23K]

lib [5.17K]

counter.java [2.43K]

setops.java [2.74K]

predict [16.56K]

pmmlpredict.java [3.15K]

rf.pb [7.24K]

tfpredict.java [1.33K]

tree_version_test.pmml [4.84K]

udaf

udf [65.43K]

helloudf.java [0.30K]

udfargmax.java [0.74K]

udfarraycountoverlap.java [1.72K]

udfarrayexclude.java [2.53K]

udfarrayintersect.java [0.81K]

udfarrayjoin.java [1.21K]

udfarrayslice.java [3.68K]

udfarraysort.java [1.38K]

udfarrayunion.java [2.36K]

udfbucket.java [1.31K]

udfchoose.java [1.34K]

udfcumsum.java [1.66K]

udfdstoffset.java [1.64K]

udffill.java [0.50K]

udffindinstring.java [1.54K]

udfgreatcircledist.java [1.05K]

udfhex2dec.java [0.65K]

udfjaccard.java [0.96K]

udfjsonasarray.java [1.30K]

udfjsonasmap.java [1.58K]

udfkmeans.java [7.57K]

udflda.java [4.02K]

udflevenshtein.java [1.28K]

udflogisticregression.java [0.78K]

udflongest.java [0.85K]

udfltrim.java [1.87K]

udfmakejsonarray.java [1.99K]

udfmapentropy.java [1.77K]

udfmapexclude.java [2.98K]

udfmd5.java [1.13K]

udfnormalizeunicode.java [1.12K]

udfnumberrows.java [1.82K]

udfpmax.java [0.79K]

udfppois.java [1.50K]

udfprev.java [2.29K]

udfpsum.java [0.73K]

udfrtrim.java [1.86K]

udftrim.java [2.16K]

udfwhich.java [0.66K]

udtf [7.06K]

udtfexplodeindex.java [2.27K]

udtfexplodemap.java [2.17K]

udtfrepeatrows.java [2.62K]

target [122.72M]

classes [218.34K]

lib [7.97K]

counter.class [3.70K]

setops$setpair.class [1.58K]

setops.class [2.69K]

predict [7.77K]

pmmlpredict.class [5.18K]

tfpredict.class [2.60K]

udaf [89.22K]

genericudafaverage$1.class [1.34K]

genericudafaverage$genericudafaverageevaluator$averageagg.class [0.73K]

genericudafaverage$genericudafaverageevaluator.class [7.12K]

genericudafaverage.class [2.68K]

maxinumber$maxinumberintudafevaluator.class [1.22K]

maxinumber.class [0.38K]

totalnumoflettersgenericudaf$totalnumoflettersevaluator$lettersumagg.class [0.88K]

totalnumoflettersgenericudaf$totalnumoflettersevaluator.class [4.51K]

totalnumoflettersgenericudaf.class [2.60K]

udafall$udafallevaluator.class [1.22K]

udafall.class [0.35K]

udafany$udafanyevaluator.class [1.14K]

udafany.class [0.35K]

udafchooseone$evaluator$state.class [0.64K]

udafchooseone$evaluator.class [3.06K]

udafchooseone.class [1.31K]

udafcollect$genericudafcollectevaluator$udafcollectstate.class [1.16K]

udafcollect$genericudafcollectevaluator.class [4.24K]

udafcollect.class [0.95K]

udafcollectmap$udafcollectmapevaluator.class [1.77K]

udafcollectmap$udafcollectmapstate.class [0.83K]

udafcollectmap.class [0.47K]

udafcollectwhere$evaluator.class [3.92K]

udafcollectwhere$state.class [0.68K]

udafcollectwhere.class [1.01K]

udafcountwhere$udafcountwhereevaluator.class [1.24K]

udafcountwhere.class [0.39K]

udafentropy$udafentropyevaluator.class [1.98K]

udafentropy$udafentropystate.class [1.10K]

udafentropy.class [0.62K]

udafgrouplongest$udaflongestevaluator.class [1.60K]

udafgrouplongest$udaflongeststate.class [0.75K]

udafgrouplongest.class [0.47K]

udafhistogram$udafhistogramevaluator.class [1.68K]

udafhistogram$udafhistogramstate.class [0.77K]

udafhistogram.class [0.46K]

udafsumwhere$udafcountwhereevaluator.class [1.32K]

udafsumwhere.class [0.38K]

udaftop$udaftopevaluator.class [1.61K]

udaftop$udaftopstate.class [0.91K]

udaftop.class [0.41K]

udaftopn$stringdoublepair.class [1.14K]

udaftopn$udaftopnevaluator.class [2.88K]

udaftopn$udaftopnstate.class [1.15K]

udaftopn.class [0.47K]

udafunionmap$evaluator.class [3.48K]

udafunionmap$state.class [0.67K]

udafunionmap.class [1.00K]

udafunionset$evaluator.class [3.56K]

udafunionset$state.class [0.66K]

udafunionset.class [1.03K]

udafweightedavg$udafweightedavgevaluator$state.class [0.58K]

udafweightedavg$udafweightedavgevaluator.class [1.84K]

udafweightedavg.class [0.40K]

udafweightedpercentile$mycomparator.class [1.48K]

udafweightedpercentile$percentilelongarrayevaluator.class [4.41K]

udafweightedpercentile$state.class [1.24K]

udafweightedpercentile.class [2.99K]

udf [103.55K]

helloudf.class [0.58K]

udfargmax.class [1.06K]

udfargmin.class [1.00K]

udfarrayaggregate.class [6.19K]

udfarrayconcat.class [3.09K]

udfarraycountoverlap.class [2.28K]

udfarrayexclude.class [3.81K]

udfarrayintersect.class [1.25K]

udfarrayjoin.class [1.65K]

udfarrayslice.class [4.16K]

udfarraysort.class [2.38K]

udfarrayunion.class [3.14K]

udfbucket.class [1.50K]

udfcast.class [2.10K]

udfchoose.class [1.17K]

udfcumprod.class [1.10K]

udfcumsum.class [1.10K]

udfdayofweek.class [2.08K]

udfdstoffset.class [1.98K]

udfendswith.class [0.79K]

udffill.class [0.73K]

udffindinarray.class [1.45K]

udffindinstring.class [0.86K]

udffindsequenceinarray.class [1.48K]

udfgreatcircledist.class [1.35K]

udfhex2dec.class [0.94K]

udfisfinite.class [0.80K]

udfjaccard.class [1.62K]

udfjsonasarray.class [1.54K]

udfjsonasmap.class [2.41K]

udfkmeans.class [5.00K]

udflda.class [2.58K]

udflevenshtein.class [1.52K]

udflogisticregression.class [1.31K]

udflongest.class [0.86K]

udfltrim.class [1.16K]

udfmakejsonarray.class [2.71K]

udfmakejsonobj.class [2.70K]

udfmapentropy.class [1.68K]

udfmapexclude.class [4.66K]

udfmd5.class [1.62K]

udfnormalizeunicode.class [1.18K]

udfnumberrows.class [0.95K]

udfpmax.class [1.03K]

udfpmin.class [0.96K]

udfppois.class [1.15K]

udfprev.class [2.06K]

udfpsum.class [0.98K]

udfregexpextractall.class [2.17K]

udfrtrim.class [1.15K]

udfsample.class [4.67K]

udfstartswith.class [0.85K]

udftitlecase.class [1.02K]

udftrim.class [1.23K]

udfunescape.class [0.71K]

udfwhich.class [1.15K]

wilson.class [0.89K]

udtf [9.83K]

udtfexplodeindex.class [3.03K]

udtfexplodemap.class [3.46K]

udtfrepeatrows.class [3.34K]

maven-archiver [0.11K]

pom.properties [0.11K]

maven-status [7.57K]

maven-compiler-plugin [7.57K]

compile [7.57K]

default-compile [7.57K]

createdfiles.lst [3.64K]

inputfiles.lst [3.93K]

testcompile

default-testcompile

inputfiles.lst

hiveudf-1.0-snapshot.jar [122.48K]

hiveudf-1.0-snapshot-jar-with-dependencies.jar [122.37M]

sparkproject

.idea

src

main

resources

commenddata

scala

org

offline

feat

sparkcore

repartitionandsort

test

sparksql

udf

target

classes

commenddata

org

offline

feat

sparkcore

repartitionandsort

test

sparksql

udf

data [883.51M]

little_file [226.66M]

brand [48.47M]

1_day.txt [494.78K]

10_day.txt [498.40K]

11_day.txt [498.40K]

12_day.txt [498.46K]

13_day.txt [498.38K]

14_day.txt [498.58K]

15_day.txt [498.51K]

16_day.txt [498.23K]

17_day.txt [498.27K]

18_day.txt [498.63K]

19_day.txt [498.31K]

2_day.txt [496.44K]

20_day.txt [498.40K]

21_day.txt [498.40K]

22_day.txt [498.52K]

23_day.txt [498.58K]

24_day.txt [498.37K]

25_day.txt [502.29K]

26_day.txt [502.26K]

27_day.txt [502.54K]

28_day.txt [502.38K]

29_day.txt [502.29K]

3_day.txt [498.37K]

30_day.txt [502.39K]

31_day.txt [502.46K]

32_day.txt [502.34K]

33_day.txt [502.37K]

34_day.txt [502.31K]

35_day.txt [502.40K]

36_day.txt [502.06K]

37_day.txt [502.35K]

38_day.txt [502.36K]

39_day.txt [502.38K]

4_day.txt [498.44K]

40_day.txt [502.07K]

41_day.txt [502.39K]

42_day.txt [502.40K]

43_day.txt [502.26K]

44_day.txt [502.34K]

45_day.txt [502.32K]

46_day.txt [502.23K]

47_day.txt [502.32K]

48_day.txt [502.12K]

49_day.txt [502.31K]

5_day.txt [498.25K]

50_day.txt [502.29K]

51_day.txt [502.39K]

52_day.txt [502.34K]

53_day.txt [502.60K]

54_day.txt [502.37K]

55_day.txt [502.16K]

56_day.txt [502.41K]

57_day.txt [502.27K]

58_day.txt [502.34K]

59_day.txt [502.37K]

6_day.txt [498.50K]

60_day.txt [502.29K]

61_day.txt [502.32K]

62_day.txt [502.29K]

63_day.txt [502.46K]

64_day.txt [502.55K]

65_day.txt [502.25K]

66_day.txt [502.33K]

67_day.txt [502.15K]

68_day.txt [502.25K]

69_day.txt [502.25K]

7_day.txt [498.51K]

70_day.txt [502.46K]

71_day.txt [502.24K]

72_day.txt [502.50K]

73_day.txt [502.34K]

74_day.txt [502.43K]

75_day.txt [502.13K]

76_day.txt [502.20K]

77_day.txt [502.38K]

78_day.txt [502.23K]

79_day.txt [502.31K]

8_day.txt [498.28K]

80_day.txt [502.34K]

81_day.txt [502.13K]

82_day.txt [502.40K]

83_day.txt [502.27K]

84_day.txt [502.41K]

85_day.txt [502.28K]

86_day.txt [502.48K]

87_day.txt [502.46K]

88_day.txt [502.40K]

89_day.txt [502.32K]

9_day.txt [498.40K]

90_day.txt [502.30K]

91_day.txt [502.34K]

92_day.txt [502.43K]

93_day.txt [502.32K]

94_day.txt [502.29K]

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96_day.txt [502.33K]

97_day.txt [502.48K]

98_day.txt [502.22K]

99_day.txt [502.36K]

user_info [169.54M]

1_day.txt [1.70M]

10_day.txt [1.73M]

11_day.txt [1.71M]

12_day.txt [1.71M]

13_day.txt [1.71M]

14_day.txt [1.72M]

15_day.txt [1.71M]

16_day.txt [1.70M]

17_day.txt [1.70M]

18_day.txt [1.71M]

19_day.txt [1.73M]

2_day.txt [1.70M]

20_day.txt [1.73M]

21_day.txt [1.70M]

22_day.txt [1.71M]

23_day.txt [1.71M]

24_day.txt [1.71M]

25_day.txt [1.73M]

26_day.txt [1.71M]

27_day.txt [1.73M]

28_day.txt [1.71M]

29_day.txt [1.71M]

3_day.txt [1.68M]

30_day.txt [1.74M]

31_day.txt [1.71M]

32_day.txt [1.72M]

33_day.txt [1.73M]

34_day.txt [1.73M]

35_day.txt [1.72M]

36_day.txt [1.72M]

37_day.txt [1.71M]

38_day.txt [1.70M]

39_day.txt [1.71M]

4_day.txt [1.73M]

40_day.txt [1.68M]

41_day.txt [1.73M]

42_day.txt [1.68M]

43_day.txt [1.72M]

44_day.txt [1.73M]

45_day.txt [1.72M]

46_day.txt [1.70M]

47_day.txt [1.74M]

48_day.txt [1.72M]

49_day.txt [1.72M]

5_day.txt [1.72M]

50_day.txt [1.73M]

51_day.txt [1.69M]

52_day.txt [1.69M]

53_day.txt [1.70M]

54_day.txt [1.71M]

55_day.txt [1.71M]

56_day.txt [1.72M]

57_day.txt [1.70M]

58_day.txt [1.71M]

59_day.txt [1.74M]

6_day.txt [1.73M]

60_day.txt [1.74M]

61_day.txt [1.73M]

62_day.txt [1.73M]

63_day.txt [1.72M]

64_day.txt [1.69M]

65_day.txt [1.72M]

66_day.txt [1.74M]

67_day.txt [1.71M]

68_day.txt [1.73M]

69_day.txt [1.70M]

7_day.txt [1.73M]

70_day.txt [1.74M]

71_day.txt [1.70M]

72_day.txt [1.70M]

73_day.txt [1.70M]

74_day.txt [1.71M]

75_day.txt [1.68M]

76_day.txt [1.72M]

77_day.txt [1.70M]

78_day.txt [1.69M]

79_day.txt [1.73M]

8_day.txt [1.70M]

80_day.txt [1.72M]

81_day.txt [1.71M]

82_day.txt [1.70M]

83_day.txt [1.70M]

84_day.txt [1.68M]

85_day.txt [1.70M]

86_day.txt [1.71M]

87_day.txt [1.73M]

88_day.txt [1.69M]

89_day.txt [1.71M]

9_day.txt [1.72M]

90_day.txt [1.72M]

91_day.txt [1.73M]

92_day.txt [1.71M]

93_day.txt [1.72M]

94_day.txt [1.72M]

95_day.txt [1.70M]

96_day.txt [1.68M]

97_day.txt [1.71M]

98_day.txt [1.70M]

99_day.txt [1.70M]

hivedata.zip [8.65M]

init_course.py [1.35K]

init_student.py [2.32K]

movies [1.71M]

test1.base [0.06K]

ua.base [1.71M]

project1 [654.72M]

order_products__prior.csv [550.80M]

orders.csv [103.92M]

hally.txt [429.43K]

json.txt [0.48K]

ppt [20.79M]

hive大数据利器.pptx [1.98M]

hive优化.pptx [1.59M]

scala教程.pptx [1.53M]

spark(1).pptx [6.16M]

spark.pptx [6.16M]

yarn.pptx [3.37M]

笔记 [19.47K]

spark.txt [1.15K]

yarn.txt [0.41K]

上午笔记.txt [14.85K]

下午笔记.txt [3.05K]

绘图

视频 [3.97G]

01hive优化.mp4 [760.56M]

02hive优化.mp4 [1.10G]

03hiveudf.mp4 [765.66M]

04yarn+spark内部运行逻辑.mp4 [1.38G]

作业 [1.29K]

作业(1).txt [0.72K]

作业.txt [0.58K]

【19期-09】spark基础+spark优化+召回项目

视频

【19期-10】召回项目01

code

recommand

.idea

src

main

resources

data

scala

com

badou

enhanced_graph_embedding_side_information

.idea

libraries

src

main

scala

eges

embedding

random

sample

walk

example

main

sparkapplication

proj

data

engine

training

init

model

training

rank

recall

util

recommand_test_recall

item_profile

order

recall_test

sparkcore

repartitionandsort

test

sparksql

hivehomework

udf

target

classes

com

badou

enhanced_graph_embedding_side_information

src

main

scala

eges

embedding

random

sample

walk

example

main

sparkapplication

proj

data

engine

training

init

model

training

rank

recall

util

recommand_test_recall

item_profile

order

recall_test

sparkcore

repartitionandsort

test

sparksql

hivehomework

udf

data

maven-archiver

笔记

绘图

视频

【19期-11】召回项目02_基于模型的召回 [4.31G]

笔记+绘图 [1.38M]

上午笔记.drawio [411.20K]

下午笔记.drawio [0.98M]

代码 [16.57M]

all_path_for_recall [16.57M]

data [1.71M]

ua.base [1.71M]

i2i [2.83M]

data [2.05M]

cut_ua.base [347.15K]

ua.base [1.71M]

deepwalker [730.31K]

graph_data [730.31K]

user_graph.txt [730.31K]

item2vector [68.63K]

sd.py [0.14K]

tfidf+word2vector.ipynb [68.49K]

iterm_profile [604.55K]

__pycache__ [1.08K]

load_data.cpython-36.pyc [1.08K]

data [598.72K]

movies.csv [482.84K]

tags.csv [115.88K]

load_data.py [1.56K]

tf_idf.py [3.19K]

lr [9.48M]

data [9.48M]

data.csv [9.48M]

lr1.py [0.65K]

mf [7.78K]

__init__.py

biassvd.py [3.78K]

lfm.py [4.01K]

ncf [19.42K]

main.py [4.41K]

metrics.py [0.47K]

ncf.py [9.13K]

ncf_input.py [4.30K]

tf_data_demo.py [1.11K]

u2i [1.93M]

__pycache__ [2.29K]

preprocess.cpython-36.pyc [2.29K]

fm_model [1.89M]

data [1.89M]

ua.base [1.71M]

ua.test [182.30K]

fm_model.py [3.51K]

metrics [2.58K]

auc.py [0.64K]

auc_test.py [0.23K]

hr.py [0.14K]

map.py [0.37K]

mertics.py [0.64K]

mrr.py [0.15K]

ndcg.py [0.42K]

movielens_sample.txt [17.06K]

preprocess.py [2.02K]

run_dssm_negsampling.py [3.27K]

run_fm.py [4.69K]

run_youtubednn.py [4.59K]

test.py [3.63K]

基于lfm的推荐流程.py [3.04K]

视频 [4.29G]

01基于模型的推荐系统复习+机器学初识.mp4 [841.29M]

02用户物品矩阵分解原理.mp4 [1.04G]

03引入用户物品偏执的lfm模型.mp4 [931.00M]

04代码解析spark+python.mp4 [1.52G]

【19期-12】召回项目03_基于i2i的召回模式 [3.58G]

code [10.54K]

dnn+tf.py [3.05K]

lr_连续特征建模.py [0.93K]

lr_连续特征建模_tf版本.py [2.59K]

lr+离散特征+sklearn.py [0.96K]

lr离散+onehotmap+tf.py [3.01K]

笔记+绘图 [815.47K]

lr+tf+dnn.drawio [696.51K]

lr+tf实战.drawio [114.62K]

回顾加项目经验01.drawio [4.33K]

视频 [3.58G]

01分类问题+lr.mp4 [944.46M]

02逻辑回归实现的两种方式tf+sklearn.mp4 [1.03G]

03lr处理离散特征onehot+onehotmap.mp4 [986.17M]

04dnn+线性不可分+tf实现dnn.mp4 [680.33M]

【19期-13】召回项目04_基于i2i的深度召回模型 [8.58G]

code [5.18G]

.ipynb_checkpoints [64.74K]

tfidf+word2vector-checkpoint.ipynb [64.74K]

word2vector [1.58M]

data [1.55M]

stopwords.txt [12.53K]

人民的名义.txt [777.00K]

人民的名义_cut.txt [800.01K]

__init__.py

demo.py [0.36K]

gensim_word2vector.py [5.03K]

tf_word2vector.py [12.55K]

自然语言code [5.17G]

nlp [5.17G]

class_code [14.49K]

__pycache__ [6.44K]

a_data_preprocessing.cpython-36.pyc [4.89K]

b_metrics.cpython-36.pyc [1.54K]

__init__.py

a_data_preprocessing.py [3.38K]

a_word2vec_tfidf.py [3.40K]

b_metrics.py [0.83K]

demo.py [0.44K]

lstm+gru [8.30K]

__init__.py

lstm.py [4.09K]

mutil+lstm.py [4.21K]

news_class [1.97G]

data_file [1.97G]

data [1.97G]

data2 [1.93G]

id2label [0.16K]

xy [67.54M]

xy_id [11.72M]

xy_vec [1.85G]

car.txt [5.00M]

education.txt [6.15M]

entertainment.txt [3.35M]

fashion.txt [2.19M]

finance.txt [7.99M]

military.txt [6.35M]

politics.txt [4.48M]

science.txt [5.84M]

sports.txt [4.71M]

stopwords.txt [12.53K]

lr.py [0.93K]

lr_class.py [6.27K]

test.py [0.43K]

transformer [3.20G]

__pycache__ [15.80K]

data_load.cpython-36.pyc [4.72K]

hyperparams.cpython-36.pyc [0.75K]

modules.cpython-36.pyc [10.33K]

logdir [3.13G]

checkpoint [0.31K]

events.out.tfevents.1564970221.ai-dev [19.05M]

events.out.tfevents.1564992537.ai-dev [19.30M]

events.out.tfevents.1608304362.desktop-3rmserg [18.79M]

events.out.tfevents.1608432012.desktop-3rmserg [18.79M]

graph.pbtxt [27.60M]

model_epoch_16_gs_34060.data-00000-of-00001 [611.37M]

model_epoch_16_gs_34060.index [24.46K]

model_epoch_16_gs_34060.meta [9.75M]

model_epoch_17_gs_35763.data-00000-of-00001 [611.37M]

model_epoch_17_gs_35763.index [24.46K]

model_epoch_17_gs_35763.meta [9.75M]

model_epoch_18_gs_37466.data-00000-of-00001 [611.37M]

model_epoch_18_gs_37466.index [24.46K]

model_epoch_18_gs_37466.meta [9.75M]

model_epoch_19_gs_39169.data-00000-of-00001 [611.37M]

model_epoch_19_gs_39169.index [24.46K]

model_epoch_19_gs_39169.meta [9.75M]

model_epoch_20_gs_40872.data-00000-of-00001 [611.37M]

model_epoch_20_gs_40872.index [24.46K]

model_epoch_20_gs_40872.meta [9.75M]

results [43.65K]

model_epoch_20_gs_40872 [43.65K]

train_data [67.32M]

de.vocab.tsv [2.03M]

en.vocab.tsv [921.68K]

iwslt16.ted.dev2010.de-en.de.xml [129.46K]

iwslt16.ted.dev2010.de-en.en.xml [117.01K]

iwslt16.ted.tst2010.de-en.de.xml [201.90K]

iwslt16.ted.tst2010.de-en.en.xml [183.12K]

iwslt16.ted.tst2011.de-en.de.xml [180.64K]

iwslt16.ted.tst2011.de-en.en.xml [161.49K]

iwslt16.ted.tst2012.de-en.de.xml [203.52K]

iwslt16.ted.tst2012.de-en.en.xml [185.34K]

iwslt16.ted.tst2013.de-en.de.xml [137.46K]

iwslt16.ted.tst2013.de-en.en.xml [125.41K]

iwslt16.ted.tst2014.de-en.de.xml [166.74K]

iwslt16.ted.tst2014.de-en.en.xml [151.24K]

iwslt16.tedx.dev2012.de-en.de.xml [140.87K]

iwslt16.tedx.dev2012.de-en.en.xml [129.75K]

iwslt16.tedx.tst2013.de-en.de.xml [151.67K]

iwslt16.tedx.tst2013.de-en.en.xml [139.34K]

iwslt16.tedx.tst2014.de-en.de.xml [174.88K]

iwslt16.tedx.tst2014.de-en.en.xml [162.68K]

readme [2.55K]

train.en [21.96M]

train.tags.de-en.de [20.84M]

train.tags.de-en.en [18.82M]

data_load.py [3.77K]

data_path [0.08K]

eval.py [3.11K]

hyperparams.py [0.90K]

modules.py [14.04K]

test1.py [1.30K]

train.py [8.98K]

word2vector [1.57M]

data [1.55M]

stopwords.txt [12.53K]

人民的名义.txt [777.00K]

人民的名义_cut.txt [800.01K]

__init__.py

demo.py [0.36K]

gensim_word2vector.py [5.03K]

tf_word2vector.py [12.55K]

tfidf+word2vector.ipynb [68.42K]

word2vector源码.py [6.48K]

笔记绘图 [1.87M]

01回顾召回通路.drawio [3.76K]

02word2vector.drawio [56.14K]

03第二天 word2vector.drawio [1.47M]

04item2vector.drawio [348.01K]

视频 [3.40G]

1.word2vector01.mp4 [858.74M]

2.word2vector02.mp4 [814.98M]

3.word2vector03代码分析.mp4 [1.32G]

4.如何根据用户行为生成物品的item2vector.mp4 [453.20M]

【19期-14】召回项目05_召回融合+数据格式

code

.ipynb_checkpoints

all_path_for_recall

data

i2i

data

deepwalker

graph_data

item2vector

iterm_profile

__pycache__

data

lr

data

mf

ncf

u2i

__pycache__

fm_model

data

metrics

recommand_test_recall

item_profile

order

recall_test

sparkcore

repartitionandsort

test

sparksql

hivehomework

udf

绘图

视频

作业感受lr的训练

【19期-15】召回项目06_深度融合+评价指标 [4.73G]

code [17.82M]

.ipynb_checkpoints [68.55K]

lfm+hnsw-checkpoint.ipynb [0.07K]

tfidf+word2vector-checkpoint.ipynb [68.48K]

all_path_for_recall [17.58M]

data [2.05M]

cut_ua.base [347.15K]

lr_demo.py [0.18K]

ua.base [1.71M]

i2i [3.51M]

data [2.73M]

cut_ua.base [1.02M]

ua.base [1.71M]

deepwalker [730.31K]

graph_data [730.31K]

user_graph.txt [730.31K]

item2vector [68.63K]

sd.py [0.14K]

tfidf+word2vector.ipynb [68.49K]

iterm_profile [604.56K]

__pycache__ [1.08K]

load_data.cpython-36.pyc [1.08K]

data [598.72K]

movies.csv [482.84K]

tags.csv [115.88K]

load_data.py [1.56K]

tf_idf.py [3.19K]

lr [9.48M]

data [9.48M]

data.csv [9.48M]

lr1.py [0.65K]

mf [7.82K]

__init__.py

biassvd.py [3.81K]

lfm.py [4.01K]

ncf [19.44K]

main.py [4.41K]

metrics.py [0.47K]

ncf.py [9.15K]

ncf_input.py [4.30K]

tf_data_demo.py [1.11K]

u2i [1.93M]

__pycache__ [2.29K]

preprocess.cpython-36.pyc [2.29K]

fm_model [1.89M]

data [1.89M]

ua.base [1.71M]

ua.test [182.30K]

fm_model.py [3.51K]

metrics [2.58K]

auc.py [0.64K]

auc_test.py [0.23K]

hr.py [0.14K]

map.py [0.37K]

mertics.py [0.64K]

mrr.py [0.15K]

ndcg.py [0.42K]

movielens_sample.txt [17.06K]

preprocess.py [2.02K]

run_dssm_negsampling.py [3.27K]

run_fm.py [4.69K]

run_youtubednn.py [4.59K]

test.py [3.63K]

recommand_test_recall [87.69K]

item_profile [7.71K]

jiebacut.scala [2.66K]

lr.scala [2.79K]

tf_idfdemp.scala [1.53K]

word2vec.scala [0.72K]

order [5.94K]

feat.scala [4.51K]

jieba.scala [1.43K]

recall_test [39.12K]

item2vec.scala [4.32K]

recallals.scala [7.30K]

recallitemcf.scala [6.19K]

recallusercf.scala [10.12K]

recallusercftype1.scala [10.14K]

utils.java [1.05K]

sparkcore [16.44K]

repartitionandsort [2.47K]

user.scala [2.47K]

test [1.07K]

demo.scala [1.07K]

action.scala [2.44K]

transformer.scala [10.45K]

sparksql [18.49K]

hivehomework [5.98K]

feat.scala [4.55K]

jieba.scala [1.44K]

udf [4.22K]

aggregatorudf.scala [1.23K]

avgscore.scala [0.10K]

udf.scala [1.81K]

udfmain.scala [0.96K]

user.scala [0.12K]

dataframedemo.scala [3.42K]

sparksqldemo.scala [4.86K]

lfm+hnsw.ipynb [8.71K]

lr.py [2.01K]

tf_idfdemp.scala [1.53K]

tfidf+word2vector.ipynb [66.37K]

负采样demo.py [5.36K]

绘图 [12.86M]

dssm.drawio [71.71K]

model.drawio [6.05M]

绘图1 [6.03M]

基于深度模型的dssm.drawio [585.16K]

模型数据格式02_下午.drawio [24.55K]

评价指标以及多路召回融合.drawio [80.89K]

问题解答.drawio [25.75K]

视频 [4.70G]

03dssm源码分析.mp4 [1.64G]

04模型评价指标.mp4 [1.01G]

1问题解答.mp4 [671.76M]

2.深度模型的dssm召回.mp4 [1.40G]

作业感受lr的训练 [4.26K]

hnsw安装笔记.txt [0.65K]

作业1排序.txt [1.62K]

作业2召回.txt [1.62K]

作业3召回融合.txt [0.38K]

【19期-16】召回项目07_牛逼的fm

code

.ipynb_checkpoints

all_path_for_recall

data

i2i

data

deepwalker

graph_data

item2vector

iterm_profile

__pycache__

data

lr

data

mf

ncf

u2i

__pycache__

fm_model

data

metrics

rank

dcn

data

deepfm

.ipynb_checkpoints

__pycache__

data

fig

output

din

__pycache__

utils

raw_data

gbdt+lr

train_data

project

__pycache__

data

transformer

__pycache__

logdir

results

train_data

tree_demo

recommand_test_recall

item_profile

order

recall_test

sparkcore

repartitionandsort

test

sparksql

hivehomework

udf

fm作业

绘图

论文

视频

【19期-17】召回fm+youtubenet+gbdt+wide+deep [4.09G]

绘图 [13.78M]

fm.drawio [1.21M]

fm召回.drawio [174.98K]

model.drawio [6.05M]

youtubenet.drawio [4.30M]

树算法.drawio [2.04M]

视频 [4.08G]

01fm召回.mp4 [1.16G]

02fm召回源码分析+youtube理论.mp4 [628.22M]

03youbutu理论+源码解读.mp4 [1.21G]

04决策树开始.mp4 [1.09G]

【19期-18】排序+树模型+gbdt+wide+deep

code

rank

dcn

data

deepfm

.ipynb_checkpoints

__pycache__

data

fig

output

din

__pycache__

utils

raw_data

gbdt+lr

train_data

project

__pycache__

data

transformer

__pycache__

logdir

results

train_data

tree_demo

绘图

视频

【19期-19】transformer+wide+deep [4.46G]

绘图 [5.24M]

transformer.drawio [3.70M]

transformer源码分析.drawio [1.54M]

排序模型开端.drawio [4.24K]

视频 [4.45G]

01_排序前奏.mp4 [433.93M]

02transformer理论.mp4 [1.87G]

03transformer源码分析之encoder.mp4 [758.28M]

04transformer源码分析之decoder.mp4 [1.42G]

【19期-20】deepfm+din+flume+kafka+hbase [11.78G]

code [6.41G]

rank [6.41G]

dcn [2.17M]

data [2.15M]

test.csv [362.81K]

train.csv [1.80M]

config.py [1.34K]

dataloader.py [2.53K]

dcn.py [12.67K]

main.py [3.24K]

deepfm [2.48M]

.ipynb_checkpoints [35.89K]

deepfm-stepbystep-checkpoint.ipynb [35.89K]

__pycache__ [13.64K]

config.cpython-36.pyc [0.65K]

datareader.cpython-36.pyc [2.30K]

deepfm.cpython-36.pyc [10.00K]

metrics.cpython-36.pyc [0.69K]

data [2.15M]

test.csv [362.81K]

train.csv [1.80M]

fig [136.77K]

deepfm.png [44.52K]

dnn.png [46.11K]

fm.png [46.14K]

output [85.58K]

deepfm_mean0.01434_std0.10176.csv [1.11K]

deepfm_mean0.05735_std0.20027.csv [1.11K]

deepfm_mean-0.11470_std0.37335.csv [1.11K]

deepfm_mean0.15298_std0.07982.csv [26.67K]

deepfm_mean0.26137_std0.00210.csv

dnn_mean0.14649_std0.04774.csv [26.67K]

dnn_mean-0.31183_std0.29369.csv [1.11K]

fm_mean0.21334_std0.05244.csv [26.67K]

fm_mean0.23297_std0.05576.csv [1.11K]

config.py [1.38K]

datareader.py [3.28K]

deepfm.py [16.48K]

deepfm-stepbystep.ipynb [38.45K]

main.py [5.62K]

metrics.py [0.45K]

test_dataprocess.py [2.09K]

test_wide&deep.py [1.49K]

din [749.44M]

__pycache__ [8.38K]

dice.cpython-36.pyc [0.87K]

input.cpython-36.pyc [2.24K]

model.cpython-36.pyc [5.27K]

utils [749.42M]

raw_data [749.28M]

cat_voc.pkl [45.70K]

item-info [41.80M]

local_test_splitbyuser [33.71M]

local_train_splitbyuser [299.76M]

mid_voc.pkl [10.67M]

reviews-info [345.52M]

uid_voc.pkl [17.78M]

0_download_raw.sh [0.29K]

1_convert_pd.py [0.65K]

2_remap_id.py [1.78K]

auc.png [133.09K]

build_dataset.py [1.24K]

convert_pd.py [0.69K]

dice.py [1.12K]

input.py [1.89K]

model.py [8.38K]

readme.md [1.81K]

remap_id.py [1.79K]

train.py [3.13K]

gbdt+lr [3.42M]

train_data [2.15M]

test.csv [362.81K]

train.csv [1.80M]

gbdt_lr.py [2.35K]

model.txt [628.45K]

save.txt [673.28K]

project [2.46G]

__pycache__ [12.84K]

deepfm.cpython-36.pyc [4.24K]

inputs.cpython-36.pyc [8.60K]

data [2.46G]

app.csv [21.20M]

test.csv [564.29M]

train.csv [1.75G]

user.csv [144.52M]

__init__.py

deepfm.py [5.57K]

inputs.py [12.67K]

train_fm.py [9.34K]

transformer [3.20G]

__pycache__ [20.15K]

data_load.cpython-36.pyc [4.94K]

hyperparams.cpython-36.pyc [0.76K]

modules.cpython-36.pyc [10.54K]

train.cpython-36.pyc [3.91K]

logdir [3.14G]

checkpoint [0.31K]

events.out.tfevents.1564970221.ai-dev [19.05M]

events.out.tfevents.1564992537.ai-dev [19.30M]

events.out.tfevents.1608304362.desktop-3rmserg [18.79M]

events.out.tfevents.1608432012.desktop-3rmserg [18.79M]

events.out.tfevents.1610262907.desktop-3rmserg [14.06M]

graph.pbtxt [18.56M]

model_epoch_16_gs_34060.data-00000-of-00001 [611.37M]

model_epoch_16_gs_34060.index [24.46K]

model_epoch_16_gs_34060.meta [9.75M]

model_epoch_17_gs_35763.data-00000-of-00001 [611.37M]

model_epoch_17_gs_35763.index [24.46K]

model_epoch_17_gs_35763.meta [9.75M]

model_epoch_18_gs_37466.data-00000-of-00001 [611.37M]

model_epoch_18_gs_37466.index [24.46K]

model_epoch_18_gs_37466.meta [9.75M]

model_epoch_19_gs_39169.data-00000-of-00001 [611.37M]

model_epoch_19_gs_39169.index [24.46K]

model_epoch_19_gs_39169.meta [9.75M]

model_epoch_20_gs_40872.data-00000-of-00001 [611.37M]

model_epoch_20_gs_40872.index [24.46K]

model_epoch_20_gs_40872.meta [9.75M]

results [43.65K]

model_epoch_20_gs_40872 [43.65K]

train_data [67.32M]

de.vocab.tsv [2.03M]

en.vocab.tsv [921.68K]

iwslt16.ted.dev2010.de-en.de.xml [129.46K]

iwslt16.ted.dev2010.de-en.en.xml [117.01K]

iwslt16.ted.tst2010.de-en.de.xml [201.90K]

iwslt16.ted.tst2010.de-en.en.xml [183.12K]

iwslt16.ted.tst2011.de-en.de.xml [180.64K]

iwslt16.ted.tst2011.de-en.en.xml [161.49K]

iwslt16.ted.tst2012.de-en.de.xml [203.52K]

iwslt16.ted.tst2012.de-en.en.xml [185.34K]

iwslt16.ted.tst2013.de-en.de.xml [137.46K]

iwslt16.ted.tst2013.de-en.en.xml [125.41K]

iwslt16.ted.tst2014.de-en.de.xml [166.74K]

iwslt16.ted.tst2014.de-en.en.xml [151.24K]

iwslt16.tedx.dev2012.de-en.de.xml [140.87K]

iwslt16.tedx.dev2012.de-en.en.xml [129.75K]

iwslt16.tedx.tst2013.de-en.de.xml [151.67K]

iwslt16.tedx.tst2013.de-en.en.xml [139.34K]

iwslt16.tedx.tst2014.de-en.de.xml [174.88K]

iwslt16.tedx.tst2014.de-en.en.xml [162.68K]

readme [2.55K]

train.en [21.96M]

train.tags.de-en.de [20.84M]

train.tags.de-en.en [18.82M]

data_load.py [4.48K]

data_path [0.08K]

eval.py [3.68K]

hyperparams.py [0.90K]

modules.py [15.67K]

test1.py [2.14K]

train.py [9.38K]

tree_demo [2.35M]

filename.txt [2.49K]

gbdt.py [0.85K]

train_modified.csv [2.35M]

tree.py [0.86K]

xgb.py [1.17K]

wide&deep [2.63K]

wide&deep.py [2.63K]

__init__.py

wide&deep.py [2.63K]

ppt [5.03M]

01flume.pdf [874.18K]

02kafka.pdf [873.70K]

03hbase.pdf [1.88M]

05数据采集业务.pdf [524.42K]

08spark streaming.pdf [954.04K]

绘图笔记 [3.67M]

flume.drawio [2.15K]

hbase.drawio [589.75K]

wide&deep+deepfm+din.drawio [2.67M]

笔记.txt

如何组织数据+以及业界数据量、资源的说明.drawio [429.16K]

视频 [5.37G]

上午01数据整个流程.mp4 [839.34M]

上午02widedeep.mp4 [1.00G]

下午03flume+hbase+din.mp4 [3.55G]

【19期-21】kafka+sparkstreaming+简历辅导

code

sparkstreaming

.idea

metastore_db

log

seg0

src

main

scala

org

apache

spark

streaming

kafka

streaming

target

classes

org

apache

spark

streaming

kafka

streaming

maven-archiver

脚本

flume

log

mysql同步hive

ppt

绘图

简历如何写

视频

badou_project_data

project1

project2

project3