You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Copy file name to clipboardExpand all lines: samples/features/machine-learning-services/python/getting-started/rental-prediction/README.md
+3-18Lines changed: 3 additions & 18 deletions
Display the source diff
Display the rich diff
Original file line number
Diff line number
Diff line change
@@ -1,4 +1,4 @@
1
-
# Build a predictive model with SQL Server Python
1
+
# Build a predictive model with Python using SQL Server 2017 Machine Learning Services
2
2
3
3
This sample shows how to create a predictive model in Python and operationalize it with SQL Server vNext.
4
4
@@ -22,7 +22,7 @@ In this sample, you will learn how to create a predictive model in python and op
22
22
23
23
24
24
<!-- Delete the ones that don't apply -->
25
-
-**Applies to:** SQL Server vNext
25
+
-**Applies to:** SQL Server 2017 CTP2.0 or higher
26
26
-**Key features:**SQL Server Machine Learning Services
27
27
-**Workload:** SQL Server Machine Learning Services
28
28
-**Programming Language:** T-SQL, Python
@@ -39,7 +39,7 @@ Download a DB backup file and restore it using Setup.sql. [Download DB](https://
39
39
**Software prerequisites:**
40
40
41
41
<!-- Examples -->
42
-
1. SQL Server vNext CTP2.0 (or higher) with Machine Learning Services (Python) installed
42
+
1. SQL Server 2017 CTP2.0 (or higher) with Machine Learning Services (Python) installed
43
43
2. SQL Server Management Studio
44
44
3. Python Tools for Visual Studio
45
45
@@ -68,23 +68,8 @@ Takes the Python code in Predictive Model.py and deploys it inside SQL Server. C
68
68
69
69
70
70
71
-
Service uses Tedious library for data access and built-in JSON functionalities that are available in SQL Server 2016 and Azure SQL Database.
72
71
73
-
<aname=disclaimers></a>
74
72
75
-
## Disclaimers
76
-
The code included in this sample is not intended demonstrate some general guidance and architectural patterns for web development.
77
-
It contains minimal code required to create a REST API.
78
-
You can easily modify this code to fit the architecture of your application.
79
73
80
74
81
-
<aname=related-links></a>
82
75
83
-
## Related Links
84
-
<!-- Links to more articles. Remember to delete "en-us" from the link path. -->
85
-
86
-
For additional content, see these articles:
87
-
88
-
[SQL Server R Services - Upgrade and Installation FAQ](https://msdn.microsoft.com/en-us/library/mt653951.aspx)
89
-
[Other SQL Server R Services Tutorials](https://msdn.microsoft.com/en-us/library/mt591993.aspx)
90
-
[Watch a presentation about predictive modeling in SQL Server, that also goes through this sample](https://www.youtube.com/watch?v=YCyj9cdi4Nk&feature=youtu.be)
0 commit comments