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Karolina Oparczyk 2021-05-17 21:04:57 +02:00
parent 961e10926e
commit 51ecf3edbe
4 changed files with 436 additions and 414 deletions
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2
JenkinsfileNeural
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@ -12,7 +12,7 @@ node {
} }
stage('Clone repo') { stage('Clone repo') {
docker.image("karopa/ium:10").inside { docker.image("karopa/ium:11").inside {
stage('Test') { stage('Test') {
checkout([$class: 'GitSCM', branches: [[name: '*/master']], doGenerateSubmoduleConfigurations: false, extensions: [], submoduleCfg: [], userRemoteConfigs: [[url: 'https://git.wmi.amu.edu.pl/s434765/ium_434765']]]) checkout([$class: 'GitSCM', branches: [[name: '*/master']], doGenerateSubmoduleConfigurations: false, extensions: [], submoduleCfg: [], userRemoteConfigs: [[url: 'https://git.wmi.amu.edu.pl/s434765/ium_434765']]])
copyArtifacts fingerprintArtifacts: true, projectName: 's434765-create-dataset', selector: buildParameter("BUILD_SELECTOR") copyArtifacts fingerprintArtifacts: true, projectName: 's434765-create-dataset', selector: buildParameter("BUILD_SELECTOR")

1
data_train
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@ -1086,4 +1086,3 @@
"Q3pUXLQ5G5U","2017-12-30","2017-12-22","0","26","TiffyQuake",34032,1930,14,182,"False","False",5,TRUE,"DOOR TO SPACE - 29 Rooms Vlog","door to space|29 rooms|29|rooms|refinery 29|art|installation|installations|experience|fun|vlog|artist|creative|create|vlogging|cupquake|cupquake vlog|ihascupquake|tiffyquake|tiffyquake vlog","Mario and I were invited to a 29 rooms event and I wanted to bring you guys along! Here are some installations at the show! Which is your favorite?\n\nDOOR TO SPACE - 29 Rooms Vlog\n\nFollow me\n---------------------------------------------------------\nTwitter - https://twitter.com/iHasCupquake\nFacebook - https://www.facebook.com/pages/Tiffyquake/731699746860096\nInstagram - http://instagram.com/tiffyquake\n\n---------------------------------------------",8,8,91,317,20,1325186 "Q3pUXLQ5G5U","2017-12-30","2017-12-22","0","26","TiffyQuake",34032,1930,14,182,"False","False",5,TRUE,"DOOR TO SPACE - 29 Rooms Vlog","door to space|29 rooms|29|rooms|refinery 29|art|installation|installations|experience|fun|vlog|artist|creative|create|vlogging|cupquake|cupquake vlog|ihascupquake|tiffyquake|tiffyquake vlog","Mario and I were invited to a 29 rooms event and I wanted to bring you guys along! Here are some installations at the show! Which is your favorite?\n\nDOOR TO SPACE - 29 Rooms Vlog\n\nFollow me\n---------------------------------------------------------\nTwitter - https://twitter.com/iHasCupquake\nFacebook - https://www.facebook.com/pages/Tiffyquake/731699746860096\nInstagram - http://instagram.com/tiffyquake\n\n---------------------------------------------",8,8,91,317,20,1325186
\n \n
"yq4mgb1PDTI","2018-02-04","2013-10-25","2","2","Amarullah Rizky",10345,39,0,0,"False","False",2,TRUE,"1980 toyota corolla liftback commercial","Corolla Citytownvillage|Dx|Ke70|Racing|Wrc Rally Magazine Tv Program|Toyota Ae86 Automobile Generation|Slalom|Toyota Corolla Automobile Model|Rally|Retrocar|Rallying Sport|Oldskool|Gt|Car|Retroisme|Toyota|Corolla|Toyota Brand|Youtube Editor","",3,1563,32,70,19,86 "yq4mgb1PDTI","2018-02-04","2013-10-25","2","2","Amarullah Rizky",10345,39,0,0,"False","False",2,TRUE,"1980 toyota corolla liftback commercial","Corolla Citytownvillage|Dx|Ke70|Racing|Wrc Rally Magazine Tv Program|Toyota Ae86 Automobile Generation|Slalom|Toyota Corolla Automobile Model|Rally|Retrocar|Rallying Sport|Oldskool|Gt|Car|Retroisme|Toyota|Corolla|Toyota Brand|Youtube Editor","",3,1563,32,70,19,86
\nSemolina pasta is a southern Italy specialty. From that dough, Luca makes cavatelli, malloreddus, lorighittas, cencioni, capunti, strascinati, culurgionis, and sagne incannulate. From the egg dough, D'Onofrio makes fusilli al ferretto, tagliatelle, tortellini, farfalle, garganelli, anolini, cappelletti, tagliolini, agnolotti, sacchetti. From the spinach dough, Luca makes foglie d'ulivo, trofie, fagiolini, and pappardelle. From the cuttlefish squid ink pasta dough, D'Onofrio makes orecchiette, strichetti, fettuccine, and corzetti.\n\nStill haven’t subscribed to Bon Appetit on YouTube? ►► http://bit.ly/1TLeyPn

19
neural_network.py
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@ -9,9 +9,12 @@ def normalize_data(data):
return (data - np.min(data)) / (np.max(data) - np.min(data)) return (data - np.min(data)) / (np.max(data) - np.min(data))
data = pd.read_csv("data_train", sep=',', error_bad_lines=False).dropna() data = pd.read_csv("data_train", sep=',', skip_blank_lines=True, nrows=1087, error_bad_lines=False,
X = data.loc[:,data.columns == "2805317"].astype(int) names=["video_id", "last_trending_date", "publish_date", "publish_hour", "category_id",
y = data.loc[:,data.columns == "198909"].astype(int) "channel_title", "views", "likes", "dislikes", "comment_count"]).dropna()
X = data.loc[:,data.columns == "views"].astype(int)
y = data.loc[:,data.columns == "likes"].astype(int)
min_val_sub = np.min(X) min_val_sub = np.min(X)
max_val_sub = np.max(X) max_val_sub = np.max(X)
@ -39,9 +42,13 @@ model.compile(loss='mean_absolute_error', optimizer="Adam", metrics=['mean_absol
model.fit(X, y, epochs=30, validation_split = 0.3) model.fit(X, y, epochs=30, validation_split = 0.3)
data = pd.read_csv("data_dev", sep=',', error_bad_lines=False, skip_blank_lines=True, nrows=527).dropna() data = pd.read_csv("data_dev", sep=',', error_bad_lines=False,
X_test = data.loc[:,data.columns == "440265"].astype(int) skip_blank_lines=True, nrows=527, names=["video_id", "last_trending_date",
y_test = data.loc[:,data.columns == "21629"].astype(int) "publish_date", "publish_hour", "category_id",
"channel_title", "views", "likes", "dislikes",
"comment_count"]).dropna()
X_test = data.loc[:,data.columns == "views"].astype(int)
y_test = data.loc[:,data.columns == "likes"].astype(int)
min_val_sub = np.min(X_test) min_val_sub = np.min(X_test)
max_val_sub = np.max(X_test) max_val_sub = np.max(X_test)

828
predictions.txt
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@ -1,406 +1,422 @@
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