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Updating documentation links to new doc site. Updating Postman collections for Analytics Framework service.
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README.md

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# Predix Analytics Samples
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A collection of samples for use with [Predix Analytics](https://www.predix.io/docs/#EG3xVdLg) services.
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A collection of samples for use with [Predix Analytics](https://docs.predix.io/en-US/content/service/analytics_services/analytics_framework/) services.
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## Sample Analytics
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- **[demo-RTM-loco](analytics/demo-RTM-loco):** A reference analytic that is used to calculate locomotive efficiency using a linear regression model. It has been implemented in Java, Matlab (r2011b), and Python.
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- **[miners-rule](analytics/miners-rule):** A sample analytic that performs a Miner's Rule operation on 2 timeseries arrays and returns a timeseries array. Currently only available in Java.
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For more information on developing analytics for use with Predix Analytics, see [Analytic Development](https://www.predix.io/docs/#Qd2kPYb7) on Predix IO.
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For more information on developing analytics for use with Predix Analytics, see [Analytic Development](https://docs.predix.io/en-US/content/service/analytics_services/analytics_framework/analytic-development) on Predix IO.
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## Sample Orchestration Workflows
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**[Sample Orchestration Workflows](orchestrations)**
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For more information on running orchestrations in Predix Analytics, see [Using the Analytics Runtime Service](https://www.predix.io/docs/#pM5fe0l) on Predix IO.
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You can find more information on [configuring](https://docs.predix.io/en-US/content/service/analytics_services/analytics_framework/orchestration-configuration) and [running](https://docs.predix.io/en-US/content/service/analytics_services/analytics_framework/orchestration-execution) orchestrations on Predix IO.
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## Postman Collections
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analytics/README.md

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# Sample Analytics
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These are sample analytics written for use with [Predix Analytics](https://www.predix.io/docs/#EG3xVdLg):
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These are sample analytics written for use with [Predix Analytics](https://docs.predix.io/en-US/content/service/analytics_services/analytics_framework/):
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- **[demo-adder](demo-adder):** A simple analytic that takes 2 numbers as input and returns their sum. It has been implemented in Java, Matlab (r2011b), and Python.
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- **[demo-timeseries-adder-java](demo-timeseries-adder-java):** Takes 2 arrays of timeseries data and returns a timeseries array that contains the sums at each timestamp. Currently available in Java.
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- **[demo-timeseries-adder-with-model](demo-timeseries-adder-with-model):** Takes 2 arrays of timeseries data and returns a timeseries array that contains the sums at each timestamp, adjusted by a threshold value provided in a trained model. Currently available in Java and Python.
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- **[demo-RTM-loco](demo-RTM-loco):** A reference analytic that is used to calculate locomotive efficiency using a linear regression model. It has been implemented in Java, Matlab (r2011b), and Python.
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- **[miners-rule](miners-rule):** A sample analytic that performs a Miner's Rule operation on 2 timeseries arrays and returns a timeseries array. Currently only available in Java.
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For more information on developing analytics for use with Predix Analytics, see [Analytic Development](https://www.predix.io/docs/#Qd2kPYb7) on Predix IO.
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For more information on developing analytics for use with Predix Analytics, see [Analytic Development](https://docs.predix.io/en-US/content/service/analytics_services/analytics_framework/analytic-development) on Predix IO.

analytics/demo-RTM-loco/README.md

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### Additional Information
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We are oversimplifying the problem of creating analytics that model instantaneous operational efficiency of a diesel locomotive. The purpose of this sample analytic is to get you started on building and deploying your analytic in Predix Analytics Services.
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For more information on developing analytics for use with the Predix Analytics platform, please visit the **[Analytic Development](https://www.predix.io/docs#Qd2kPYb7)** section of the Predix Analytics Services documentation on predix.io.
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For more information on developing analytics for use with the Predix Analytics platform, please visit the **[Analytic Development](https://docs.predix.io/en-US/content/service/analytics_services/analytics_framework/analytic-development)** section of the Predix Analytics Services documentation on predix.io.
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analytics/demo-RTM-loco/demo-RTM-loco-java/README.md

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3. Create the JSON configuration file `src/main/resources/config.json` containing the className and MethodName definitions that instruct the generated wrapper code to call your designated entry point method with the request payload.
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4. Build and prepare the analytic jar file including `config.json` file and dependent jar files. See [sample pom.xml](pom.xml) for reference.
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For more information on developing analytics for use with the Predix Analytics platform, please visit the **[Analytic Development](https://www.predix.io/docs#Qd2kPYb7)** section of the Predix Analytics Services documentation on predix.io.
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For more information on developing analytics for use with the Predix Analytics platform, please visit the **[Analytic Development](https://docs.predix.io/en-US/content/service/analytics_services/analytics_framework/analytic-development)** section of the Predix Analytics Services documentation on predix.io.
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analytics/demo-RTM-loco/demo-RTM-loco-matlab-r2011b/README.md

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We are oversimplifying the problem of creating analytics that model instantaneous operational efficiency of a diesel locomotive. The purpose of this sample analytic is to get you started on building and deploying your analytic in Predix Analytics Services.
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For more information on developing analytics for use with the Predix Analytics platform, please visit the **[Analytic Development](https://www.predix.io/docs#Qd2kPYb7)** section of the Predix Analytics Services documentation on predix.io.
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For more information on developing analytics for use with the Predix Analytics platform, please visit the **[Analytic Development](https://docs.predix.io/en-US/content/service/analytics_services/analytics_framework/analytic-development)** section of the Predix Analytics Services documentation on predix.io.
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analytics/demo-RTM-loco/demo-RTM-loco-py/README.md

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3. Create a config.json file in the top level of the project directory. Specify the entry method in the format of `<subdirectory>.<className>.<methodName>`, conda-libs, and non-conda-libs.
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4. Package all the analytic files and the config.json file into a ZIP file.
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For more information on developing analytics for use with the Predix Analytics platform, please visit the **[Analytic Development](https://www.predix.io/docs#Qd2kPYb7)** section of the Predix Analytics Services documentation on predix.io.
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For more information on developing analytics for use with the Predix Analytics platform, please visit the **[Analytic Development](https://docs.predix.io/en-US/content/service/analytics_services/analytics_framework/analytic-development)** section of the Predix Analytics Services documentation on predix.io.
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analytics/demo-adder/README.md

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The JSON output format from the analytic is as follows:
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`{"result":579}`
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For more information on developing analytics for the Predix Analytics platform, see [Analytic Development](https://www.predix.io/docs#Qd2kPYb7) in the Predix Analytics Services documentation on Predix IO.
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For more information on developing analytics for the Predix Analytics platform, see [Analytic Development](https://docs.predix.io/en-US/content/service/analytics_services/analytics_framework/analytic-development) in the Predix Analytics Services documentation on Predix IO.

analytics/demo-adder/demo-adder-java/README.md

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For more information, see [Java Analytic Development](https://www.predix.io/docs#S1Wl9PHG) in the Predix Analytics Services documentation on Predix IO.
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For more information, see [Java Analytic Development](https://docs.predix.io/en-US/content/service/analytics_services/analytics_framework/analytic-development#concept_188c43af-058f-48fa-81f4-367885ecb07a) in the Predix Analytics Services documentation on Predix IO.

analytics/demo-adder/demo-adder-matlab-r2011b/README.md

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Requests made to this generated URI will be passed to the entry point method.
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For more information, see [Matlab Analytic Development](https://www.predix.io/docs#zwCROx4n) in the Predix Analytics Services documentation on Predix IO.
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For more information, see [Matlab Analytic Development](https://docs.predix.io/en-US/content/service/analytics_services/analytics_framework/analytic-development#concept_6ffa1ff9-cbe1-447d-912d-1437d829311e) in the Predix Analytics Services documentation on Predix IO.

analytics/demo-adder/demo-adder-py/README.md

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3. Create a config.json file in the top level of the project directory. Specify the entry method in the format of `<subdirectory>.<className>.<methodName>`, conda-libs, and non-conda-libs.
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4. Package all the analytic files and the config.json file into a ZIP file.
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For more information, see [Python Analytic Development](https://www.predix.io/docs#alaepr9P) in the Predix Analytics Services documentation on Predix IO.
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For more information, see [Python Analytic Development](https://docs.predix.io/en-US/content/service/analytics_services/analytics_framework/analytic-development#concept_9cbf93d9-d4f2-4b42-8695-4c3195f04a79) in the Predix Analytics Services documentation on Predix IO.

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