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s434765-training/pipeline/head This commit looks good

This commit is contained in:
Karolina Oparczyk 2021-05-20 19:03:48 +02:00
parent eab239b6a1
commit 4ed875434b
3 changed files with 429 additions and 424 deletions

View File

@ -17,7 +17,7 @@ node {
}
stage('Clone repo') {
try { docker.image("karopa/ium:11").inside {
try { docker.image("karopa/ium:18").inside {
stage('Test') {
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")

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@ -11,11 +11,16 @@ def normalize_data(data):
data = pd.read_csv("data_train", sep=',', skip_blank_lines=True, nrows=1087, error_bad_lines=False,
names=["video_id", "last_trending_date", "publish_date", "publish_hour", "category_id",
"channel_title", "views", "likes", "dislikes", "comment_count"]).dropna()
"channel_title", "views", "likes", "dislikes", "comment_count", "comments_disabled",
"ratings_disabled", "tag_appeared_in_title_count", "tag_appeared_in_title", "title",
"tags", "description", "trend_day_count", "trend_publish_diff", "trend_tag_highest",
"trend_tag_total", "tags_count", "subscriber"]).dropna()
X = data.loc[:,data.columns == "views"].astype(int)
y = data.loc[:,data.columns == "likes"].astype(int)
min_val_sub = np.min(X)
max_val_sub = np.max(X)
X = (X - min_val_sub) / (max_val_sub - min_val_sub)

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