fix

Jenkinsfile

@@ -1,10 +1,5 @@
 pipeline {
-    agent { 
+   agent { dockerfile true }
-        dockerfile {
-        filename 'Dockerfile'
-        args '-v /tmp:/tmp'
-        }
-    }
 
    parameters{
       buildSelector(

my_model/MLmodel

@@ -1,21 +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: 3.8.5
-saved_input_example_info:
-  artifact_path: input_example.json
-  pandas_orient: split
-  type: dataframe
-signature:
-  inputs: '[{"name": "NA_Sales", "type": "double"}, {"name": "EU_Sales", "type": "double"},
-    {"name": "JP_Sales", "type": "double"}, {"name": "Other_Sales", "type": "double"},
-    {"name": "Global_Sales", "type": "double"}]'
-  outputs: '[{"type": "long"}]'
-utc_time_created: '2021-05-23 20:58:45.764716'

my_model/conda.yaml

@@ -1,10 +0,0 @@
-channels:
-- defaults
-- conda-forge
-dependencies:
-- python=3.8.5
-- pip
-- pip:
-  - mlflow
-  - tensorflow==2.4.1
-name: mlflow-env

my_model/data/keras_module.txt

@@ -1 +0,0 @@
-tensorflow.keras

my_model/data/save_format.txt

@@ -1 +0,0 @@
-tf

predict434788.py

@@ -2,6 +2,6 @@ import mlflow
 import pandas as pd
 
 model = mlflow.keras.load_model("my_model")
-data = pd.read_json('my_model/input_example.json', orient='split')
+data = pd.read_json('my_model/input_example.json', orient='index')
 
-print(model.predict(data))
+print(model.predict(data))