Training script fixes
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.gitignore
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6
.gitignore
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@ -149,4 +149,8 @@ Thumbs.db #thumbnail cache on Windows
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.prof
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.prof
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env
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env
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# End of https://www.toptal.com/developers/gitignore/api/python
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# End of https://www.toptal.com/developers/gitignore/api/python
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/MoviesOnStreamingPlatforms_updated.train
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/MoviesOnStreamingPlatforms_updated.test
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/MoviesOnStreamingPlatforms_updated.dev
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9
Jenkinsfile
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9
Jenkinsfile
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@ -22,5 +22,12 @@ stages {
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}
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}
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}
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}
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}
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}
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}
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}
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post {
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success {
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build job: 's434704-training/master', parameters: [
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string(name: 'options', value: "-shuffle=true")
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]
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}
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}
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}
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}
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@ -19,11 +19,4 @@ pipeline {
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}
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}
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}
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}
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}
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}
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post {
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success {
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build job: 's434704-training/master', parameters: [
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string(name: 'options', value: "-shuffle=true")
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]
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}
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}
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}
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}
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@ -9,9 +9,10 @@ from tensorflow.keras.layers.experimental import preprocessing
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pd.set_option("display.max_columns", None)
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pd.set_option("display.max_columns", None)
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cols = ['0','ID','Title','Year','Age','IMDb','Rotten Tomatoes','Netflix','Hulu','Prime Video','Disney+','Type','Directors','Genres','Country','Language','Runtime']
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# Wczytanie danych
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# Wczytanie danych
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train_data = pd.read_csv("./train.csv")
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train_data = pd.read_csv("./MoviesOnStreamingPlatforms_updated.train", header=None, usecols=cols)
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test_data = pd.read_csv("./test.csv")
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# Stworzenie modelu
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# Stworzenie modelu
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columns_to_use = ['Year', 'Runtime', 'Netflix']
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columns_to_use = ['Year', 'Runtime', 'Netflix']
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