From 5babf79e20476fdfafd3fe56b5ba8c03061ee456 Mon Sep 17 00:00:00 2001
From: KOSASIH <kosasihg88@gmail.com>
Date: Fri, 19 Apr 2024 14:26:49 +0700
Subject: [PATCH] Create sanitech_machine_learning.tf

---
 func/sanitech_machine_learning.tf | 85 +++++++++++++++++++++++++++++++
 1 file changed, 85 insertions(+)
 create mode 100644 func/sanitech_machine_learning.tf

diff --git a/func/sanitech_machine_learning.tf b/func/sanitech_machine_learning.tf
new file mode 100644
index 0000000..3d5b82c
--- /dev/null
+++ b/func/sanitech_machine_learning.tf
@@ -0,0 +1,85 @@
+provider "aws" {
+  region = "us-east-1"
+}
+
+data "aws_sagemaker_notebook_instance" "example" {
+  name = "example-notebook-instance"
+}
+
+resource "aws_sagemaker_endpoint_configuration" "example" {
+  name = "example-endpoint-configuration"
+
+  production_variants {
+    variant_name = "example-variant"
+
+    model_name    = aws_sagemaker_model.example.name
+    initial_variant_weight = 1
+
+    instance_type  = "ml.m5.large"
+    initial_instance_count = 1
+
+    variant_properties = {
+      "AutoMLConfig" = jsonencode({
+        "AutoMLType" = "REGRESSOR"
+        "ObjectiveConfig" = {
+          "MetricName" = "r2"
+          "Type" = "Regression"
+        }
+        "DataConfig" = {
+          "S3DataSource" = {
+            "S3DataType" = "S3Prefix"
+            "S3Uri" = "s3://example-bucket/data"
+            "S3TargetKey" = "train"
+          }
+          "DataSchema" = {
+            "ColumnSchemas" = [
+              {
+                "Name" = "feature1"
+                "Type" = "String"
+              },
+              {
+                "Name" = "feature2"
+                "Type" = "String"
+              },
+              {
+                "Name" = "target"
+                "Type" = "Double"
+              }
+            ]
+          }
+        }
+        "ResourceConfig" = {
+          "InstanceType" = "ml.m5.large"
+          "InstanceCount" = 1
+          "VolumeSizeInGB" = 5
+        }
+      })
+    }
+  }
+}
+
+resource "aws_sagemaker_model" "example" {
+  name = "example-model"
+
+  primary_container {
+    image = "example-image:latest"
+
+    model_data_url = "s3://example-bucket/model.tar.gz"
+
+    environment = {
+      "KEY" = "VALUE"
+    }
+
+    mode = "SingleModel"
+  }
+}
+
+resource "aws_sagemaker_endpoint" "example" {
+  name = "example-endpoint"
+
+  endpoint_config_name = aws_sagemaker_endpoint_configuration.example.name
+}
+
+output "endpoint_url" {
+  value = aws_sagemaker_endpoint.example.endpoint_url
+}