poprawki

.gitignore

@@ -65,4 +65,5 @@ dev.csv
 .venv/
 model.h5
 evaluation.png
-mlruns*
+mlruns*
+fifa_overall*

Jenkinsfile-train

@@ -1,6 +1,6 @@
 pipeline {
     agent {
-        docker { image 'adnovac/ium_s434760:3' }
+        docker { image 'adnovac/ium_s434760:3.1' }
     }
     parameters{
         buildSelector(
@@ -42,12 +42,5 @@ pipeline {
                     archiveArtifacts 'fifa_overall/**/*'
                 }
             }
-            stage('send email') {
-                steps {
-                    emailext body: currentBuild.result ?: 'SUCCESS',
-                    subject: 's434760 - train',
-                    to: '26ab8f35.uam.onmicrosoft.com@emea.teams.ms'
-                }
-            }
     }
 }

fifa_overall/MLmodel

@@ -1,20 +0,0 @@
-flavors:
-  keras:
-    data: data
-    keras_module: tensorflow.keras
-    keras_version: 2.4.0
-    save_format: tf
-  python_function:
-    data: data
-    env: conda.yaml
-    loader_module: mlflow.keras
-    python_version: 3.8.10
-saved_input_example_info:
-  artifact_path: input_example.json
-  pandas_orient: split
-  type: dataframe
-signature:
-  inputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1, 4]}}]'
-  outputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float32", "shape": [-1,
-    1]}}]'
-utc_time_created: '2021-05-23 19:48:30.385262'

fifa_overall/conda.yaml

@@ -1,10 +0,0 @@
-channels:
-- defaults
-- conda-forge
-dependencies:
-- python=3.8.10
-- pip
-- pip:
-  - mlflow
-  - tensorflow==2.4.1
-name: mlflow-env

fifa_overall/input_example.json

@@ -1 +0,0 @@
-{"columns": ["Age", "Nationality", "Position", "Club"], "data": [[0.38, 0.175, 1, 0.91846154]]}