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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.
### Predictive Model.py
### predictive_model.py
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.
### 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.