Library by QuantumCore: Revolutionary ML Company
Project description
PyQCore is a Python package that provides high speed machine learning Framework.
Currently, This package is the client for QuantumCore Engine on AWS which supports prediiction of time series data.
We are in an early-release beta. Expect some adventures and rough edges.
More about PyQCore
At a granular level, PyQcore is a library that consists of the following components:
Component | Description |
---|---|
pyqcore.client.SimpleQCoreClient | a client class that makes model on QuantumCore Engine |
pyqcore.examples.jpvow.load_jpvow | a function that loads sample data from UCI repository and return as sklearn format |
This library is enable to use the QuantumCore Engine in your codes. Also you need get license code from QuantumCore website to use this library(QuantumCore Inc. ).
About QuantumCore Engine
QuantumCore Engine is developed by QuantumCore Inc. This new model is 4Kx faster and lighter than previous LSTM or RNN model without GPU. Also you do not have to adjust parameters anymore.
The Engine you use with this library is currently running on t2.micro on AWS (check out the speck here).
The company also plans to impliment this algorithm on small edge computer.
Installation
This library requires Python > 3.5.
Installing PyQcore is not difficult. Just run the command below:
pip install pyqcore
Or clone this repository and run:
python setup.py install
Getting Started
Refer our sample scrpts or tutorial notebook.
Make sure that you need get license code from QuantumCore Inc.
Communication
- GitHub issues: bug reports, feature requests, install issues, RFCs, thoughts, etc.
- Mailing List: please send any issue at info-dev@qcore.co.jp
License
Copyright (c) 2018 QuantumCore Inc.
Project details
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