Rekcurd client is the project for integrating ML module. Any Rekcurd service is connectable. It can connect the Rekcurd service on Kubernetes.
https://github.com/rekcurd/community
- Rekcurd: Project for serving ML module.
- Rekcurd-dashboard: Project for managing ML model and deploying ML module.
- Rekcurd-client: Project for integrating ML module.
From source:
git clone --recursive https://github.com/rekcurd/python-client.git
cd python-client
python setup.py install
From PyPi directly:
pip install rekcurd_client
Example is available here.
$ python -m unittest
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.
| method | input: data (required) | input: option | output: label (required) | output: score (required) | output: option |
|---|---|---|---|---|---|
| run_predict_string_string | string | string (json) | string | double | string (json) |
| run_predict_string_bytes | string | string (json) | bytes | double | string (json) |
| run_predict_string_arrint | string | string (json) | int[M] | double[M] | string (json) |
| run_predict_string_arrfloat | string | string (json) | double[M] | double[M] | string (json) |
| run_predict_string_arrstring | string | string (json) | string[M] | double[M] | string (json) |
| run_predict_bytes_string | bytes | string (json) | string | double | string (json) |
| run_predict_bytes_bytes | bytes | string (json) | bytes | double | string (json) |
| run_predict_bytes_arrint | bytes | string (json) | int[M] | double[M] | string (json) |
| run_predict_bytes_arrfloat | bytes | string (json) | double[M] | double[M] | string (json) |
| run_predict_bytes_arrstring | bytes | string (json) | string[M] | double[M] | string (json) |
| run_predict_arrint_string | int[V] | string (json) | string | double | string (json) |
| run_predict_arrint_bytes | int[V] | string (json) | bytes | double | string (json) |
| run_predict_arrint_arrint | int[V] | string (json) | int[M] | double[M] | string (json) |
| run_predict_arrint_arrfloat | int[V] | string (json) | double[M] | double[M] | string (json) |
| run_predict_arrint_arrstring | int[V] | string (json) | string[M] | double[M] | string (json) |
| run_predict_arrfloat_string | double[V] | string (json) | string | double | string (json) |
| run_predict_arrfloat_bytes | double[V] | string (json) | bytes | double | string (json) |
| run_predict_arrfloat_arrint | double[V] | string (json) | int[M] | double[M] | string (json) |
| run_predict_arrfloat_arrfloat | double[V] | string (json) | double[M] | double[M] | string (json) |
| run_predict_arrfloat_arrstring | double[V] | string (json) | string[M] | double[M] | string (json) |
| run_predict_arrstring_string | string[V] | string (json) | string | double | string (json) |
| run_predict_arrstring_bytes | string[V] | string (json) | bytes | double | string (json) |
| run_predict_arrstring_arrint | string[V] | string (json) | int[M] | double[M] | string (json) |
| run_predict_arrstring_arrfloat | string[V] | string (json) | double[M] | double[M] | string (json) |
| run_predict_arrstring_arrstring | string[V] | string (json) | string[M] | double[M] | string (json) |
The input "option" field needs to be a json format. Any style is Ok but we have some reserved fields below.
| Field | Type | Description |
|---|---|---|
| suppress_log_input | bool | True: NOT print the input and output to the log message. False (default): Print the input and output to the log message. |