Skip to main content
Join the official 2019 Python Developers SurveyStart the survey!

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.

Files for pyqcore, version 0.2.1
Filename, size File type Python version Upload date Hashes
Filename, size pyqcore-0.2.1-py2.py3-none-any.whl (1.2 MB) File type Wheel Python version py2.py3 Upload date Hashes View hashes
Filename, size pyqcore-0.2.1.tar.gz (1.2 MB) File type Source Python version None Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page