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-[Rekcurd](https://github.com/rekcurd/rekcurd-python): Project for serving ML module.
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-[Rekcurd-dashboard](https://github.com/rekcurd/dashboard): Project for managing ML model and deploying ML module.
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-[Rekcurd-client](https://github.com/rekcurd/python-client) (here): Project for integrating ML module.
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-[Rekcurd-client](https://github.com/rekcurd/python-client): Project for integrating ML module.
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## Installation
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```
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## How to use
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Example code is available [here](https://github.com/rekcurd/rekcurd-client-example). When you use Kubernetes and Rekcurd dashboard, you need to specify `application_name`, `service_level` and `rekcurd_grpc_version` correctly.
Example is available [here](https://github.com/rekcurd/rekcurd-client-example).
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## Unittest
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```
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$ python -m unittest
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```
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### RekcurdWorkerClient
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##Method definition
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You need to use an appropriate method for your Rekcurd service. The methods are generated according to the input and output formats. *V* is the length of feature vector. *M* is the number of classes. If your algorithm is a binary classifier, you set *M* to 1. If your algorithm is a multi-class classifier, you set *M* to the number of classes.
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|Field |Type |Description |
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|:---|:---|:---|
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|suppress_log_input |bool |True: NOT print the input and output to the log message. <BR>False (default): Print the input and output to the log message.
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