forked from microsoft/MLOpsPython
-
Notifications
You must be signed in to change notification settings - Fork 1
Expand file tree
/
Copy path.env.example
More file actions
43 lines (35 loc) · 1.21 KB
/
.env.example
File metadata and controls
43 lines (35 loc) · 1.21 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
# Azure Subscription Variables
SUBSCRIPTION_ID = ''
RESOURCE_GROUP = 'rg-mlopssample-dev-main'
# Azure ML Workspace Variables
WORKSPACE_NAME = 'aml-mlopssample-dev'
EXPERIMENT_NAME = 'diabetes'
SCRIPT_FOLDER = './'
# Training Data Management
TRAINING_DATASTORE_NAME = "trainingdata"
TRAINING_ACCOUNT_NAME = "stmlopssampledev"
TRAINING_CONTAINER_NAME = "trainingdata"
# Databricks Compute Cluster Config
DATABRICKS_COMPUTE_NAME = "databricks"
DATABRICKS_WORKSPACE_NAME = "dbricksmlopssampledev"
DATABRICKS_ACCESS_TOKEN = ""
# AML Compute Cluster Config
AML_COMPUTE_CLUSTER_NAME = 'train-cluster'
AML_COMPUTE_CLUSTER_CPU_SKU = 'STANDARD_DS2_V2'
AML_CLUSTER_MAX_NODES = '4'
AML_CLUSTER_MIN_NODES = '0'
AML_CLUSTER_PRIORITY = 'lowpriority'
# Training Config
MODEL_NAME = 'sklearn_regression_model.pkl'
MODEL_VERSION = '1'
TRAIN_SCRIPT_PATH = 'training/train.py'
# AML Pipeline Config
TRAINING_PIPELINE_NAME = 'Training Pipeline'
MODEL_PATH = ''
EVALUATE_SCRIPT_PATH = 'evaluate/evaluate_model.py'
REGISTER_SCRIPT_PATH = 'register/register_model.py'
SOURCES_DIR_TRAIN = 'code'
# Optional. Used by a training pipeline with R on Databricks
DB_CLUSTER_ID = ''
# Optional. Container Image name for image creation
IMAGE_NAME = 'mltrained'