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updating readme for mleap appdeploy sample

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Jeroen ter Heerdt
2019-03-18 12:15:56 -07:00
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samples/features/sql-big-data-cluster/app-deploy/mleap/README.md
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@@ -56,13 +56,13 @@ To run this sample, you need the following prerequisites.
Once the app is listed as `Ready` you can continue to the next step. Once the app is listed as `Ready` you can continue to the next step.
2. Now that the app has been deployed you can test if the app works correctly by passing in a sample input that is available in the `mleap` folder. The deployed app is a RESTful webservice that is [Swagger](swagger.io) compliant. For this sample we will show you how you can test this using the CLI. 2. Now that the app has been deployed you can test if the app works correctly by passing in a sample input that is available in the `mleap` folder. The deployed app is a RESTful webservice that is [Swagger](swagger.io) compliant. For this sample we will show you how you can test this using the CLI.
To test the app, run the command below. The input parameter is a `MLeapFrame`, a `json` file that describes the parameters and the values provided to the model for predicting the cost per square feet. Note that the input parameter has a special character '@' to indicate that a `json` file is being passed. This command needs to be run within the `mleap` folder. To test the app, run the command below. The input parameter is a `MLeapFrame`, a `json` file that describes the parameters and the values provided to the model for predicting income. Note that the input parameter has a special character '@' to indicate that a `json` file is being passed. This command needs to be run within the `mleap` folder.
```bash ```bash
mssqlctl app run --name mleap-census --version [version] --input schema=@census_frame.json mssqlctl app run --name mleap-census --version [version] --input schema=@census_frame.json
``` ```
The result will be a json output that includes the prediction along with additional data, including the predicted price per square feet. The result will be a json output that includes the predicted income along with additional data.
> **RESTful web service**. Note that any app you create is also accessible using a RESTful web service that is [Swagger](swagger.io) compliant. See step 6 in the [Addpy sample](../addpy/README.md#restapi) for detailed instructions on how to call the web service. > **RESTful web service**. Note that any app you create is also accessible using a RESTful web service that is [Swagger](swagger.io) compliant. See step 6 in the [Addpy sample](../addpy/README.md#restapi) for detailed instructions on how to call the web service.