Skip to main content

Library by QuantumCore: Revolutionary ML Company

Project description

Logo


PyQCore is a client in Python to access our high speed reservoir computing engine, WebQore.

We are in an early-release beta. Expect some adventures and rough edges.

Update

2019.06.13 Release 0.2.1: Add sofmax_top option to classification_predict to show the softmax values with predicted classes. 2019.03.08 Release 0.2.0: Add regression_train, regression_test, regression_predict.

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 WebQore 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 WebQore Engine in your codes. Also you need get license code from QuantumCore website to use this library(QuantumCore Inc. ).

About QuantumCore Engine

WebQore 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) 2019 QuantumCore Inc.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pyqcore-0.2.1.tar.gz (1.2 MB view hashes)

Uploaded Source

Built Distribution

pyqcore-0.2.1-py2.py3-none-any.whl (1.2 MB view hashes)

Uploaded Python 2 Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page