Merge pull request #1109 from Websoft9/update-mlflow-56b96839

Update mlflow

apps/mlflow/.env

@@ -1,15 +1,16 @@
-W9_ID=mlflow         
+W9_ID='mlflow'
 W9_REPO=ghcr.io/mlflow/mlflow 
-W9_DIST=community                
-W9_VERSION=latest
+W9_DIST='community'
+W9_VERSION='v2.19.0'
 
 #### --  Not allowed to edit below environments when recreate app based on existing data  -- #### 
 W9_HTTP_PORT=5000         
-W9_HTTP_PORT_SET=9001      
-W9_URL=internet_ip        
+W9_HTTP_PORT_SET='9001'
+W9_URL='internet_ip'
 W9_NETWORK=websoft9
 #### --------------------------------------------------------------------------------------- ####
 
-# ENV for Mlflow
+# ENV for Mlflow: https://mlflow.org/docs/latest/cli.html#mlflow-server
+
 MLFLOW_HOME=/workspaces/mlflow
 MLFLOW_TRACKING_URI=sqlite:////workspaces/mlflow/mlruns.db

apps/mlflow/CHANGELOG.md

@@ -3,3 +3,5 @@
 ## Release
 
 ### Fixes and Enhancements
+
+2024-12-27 first Release

apps/mlflow/Note.md

@@ -1,5 +1,7 @@
 # MLflow
 
-## What is MLflow?
 
-MLflow is an open-source platform designed to manage the complete machine learning lifecycle. It helps streamline various stages of the development process including tracking experiments, packaging code into reproducible environments, and deploying models. MLflow supports any machine learning library, framework, or environment, such as TensorFlow, PyTorch, and Scikit-learn.
+
+## Config
+
+- cli: `mlflow --help`

apps/mlflow/variables.json

@@ -7,13 +7,13 @@
   "edition": [
     {
       "dist": "community",
-      "version": ["v2.16.2","latest"]
+      "version": ["v2.19.0","latest"]
     }
   ],
   "requirements": {
-    "cpu": "2",
-    "memory": "8",
-    "disk": "20",
+    "cpu": "1",
+    "memory": "1",
+    "disk": "2",
     "url": "https://mlflow.org/docs/latest/index.html"
   }
 }