Revert "Added environment.yml"

This reverts commit e8d40ac1cf.

Dockerfile

@@ -1,6 +1,8 @@
 FROM ubuntu:latest
 
-RUN apt-get update && apt-get install -y python3-pip unzip coreutils python3-venv
+RUN apt-get update && apt-get install -y python3-pip unzip coreutils
+
+RUN pip install --user kaggle pandas scikit-learn tensorflow
 
 WORKDIR /app
 
@@ -9,11 +11,4 @@ COPY ./OrangeQualityData.csv ./
 COPY ./orange_quality_model_tf.h5 ./
 COPY ./predictions_tf.json ./
 
-RUN python3 -m venv venv
-RUN /bin/bash -c "source venv/bin/activate"
-
-RUN pip install tensorflow
-
-RUN apt-get install -y python3-sklearn
-
 CMD ["python3", "data_processing.sh"]

Jenkingfile-multi

@@ -1,85 +0,0 @@
-pipeline {
-    agent {
-        dockerfile {
-            filename 'Dockerfile'
-            label 'docker'
-        }
-    }
-
-    triggers {
-        upstream(upstreamProjects: 's123456-create-dataset', threshold: hudson.model.Result.SUCCESS)
-    }
-
-    parameters {
-        string(
-            defaultValue: '--epochs 100 --batch_size 32 --learning_rate 0.01',
-            description: 'Parametry trenowania',
-            name: 'TRAINING_PARAMS'
-        )
-    }
-
-    environment {
-        DATASET_PROJECT = 's123456-create-dataset'
-        DATA_DIR = 'data'
-    }
-
-    stages {
-        stage('Clone repository') {
-            steps {
-                checkout scm
-            }
-        }
-
-        stage('Copy Dataset') {
-            steps {
-                script {
-                    copyArtifacts(
-                        projectName: "${env.DATASET_PROJECT}",
-                        selector: lastSuccessful(),
-                        target: "${env.DATA_DIR}"
-                    )
-                }
-            }
-        }
-
-        stage('Set execute permission') {
-            steps {
-                script {
-                    sh 'chmod +x data_processing.sh'
-                }
-            }
-        }
-
-        stage('Run shell script') {
-            steps {
-                script {
-                    sh './data_processing.sh'
-                }
-            }
-            post {
-                success {
-                    archiveArtifacts artifacts: 'results.txt', allowEmptyArchive: true
-                }
-            }
-        }
-
-        stage('Train Model') {
-            steps {
-                sh "python3 model.py ${params.TRAINING_PARAMS}"
-            }
-        }
-
-        stage('Archive Model') {
-            steps {
-                archiveArtifacts artifacts: 'orange_quality_model_tf.h5', allowEmptyArchive: true
-                archiveArtifacts artifacts: 'predictions_tf.json', allowEmptyArchive: true
-            }
-        }
-    }
-
-    post {
-        always {
-            cleanWs()
-        }
-    }
-}

requirements.txt

@@ -1,4 +0,0 @@
-pandas
-scikit-learn
-tensorflow
-kaggle