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Updated Readme Python

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nelgson
2017-04-19 21:18:28 -07:00
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samples/features/machine-learning-services/python/getting-started/predictive-model/README.md
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@ -60,18 +60,13 @@ Saves the predicted results to a DB table </br>
This sample shows how to create a predictive model with Python and generate predictions using the model and deploy that in SQL Server with SQL Server Machine Learning Services. This sample shows how to create a predictive model with Python and generate predictions using the model and deploy that in SQL Server with SQL Server Machine Learning Services.
### Predictive Model.py ### predictive_model.py
The Python script that generates a predictive model and uses it to predict rental counts The Python script that generates a predictive model and uses it to predict rental counts
### Predictive Model.SQL ### predictive_model_python.sql
Takes the Python code in Predictive Model.py and deploys it inside SQL Server. Creating stored procedures and tables for training, storing models and creating stored procedures for prediction. Takes the Python code in Predictive Model.py and deploys it inside SQL Server. Creating stored procedures and tables for training, storing models and creating stored procedures for prediction.
### app.js
File that contains startup code.
### db.js
File that contains functions that wrap Tedious library
### predictions.js
File that contains action that will be called to get the predictions
Service uses Tedious library for data access and built-in JSON functionalities that are available in SQL Server 2016 and Azure SQL Database. Service uses Tedious library for data access and built-in JSON functionalities that are available in SQL Server 2016 and Azure SQL Database.