Metadata-Version: 2.1
Name: timeserio
Version: 0.10.0
Summary: Machine Learning and Forecasting tools
Home-page: https://github.com/octoenergy/timeserio
Author: Octopus Energy
Author-email: nerds@octopus.energy
License: MIT
Description: [![CircleCI](https://circleci.com/gh/octoenergy/timeserio/tree/master.svg?style=svg)](https://circleci.com/gh/octoenergy/timeserio/tree/master)
        
        # timeserio
        
        `timeserio` is the missing link between `pandas`, `scikit-learn` and `keras`. It simplifies building end-to-end deep learning models - from a DataFrame through feature pipelines to multi-stage models with shared layers. While initially developed for tackling time series problems, it has since been used as a versatile tool for rapid ML model development and deployment.
        
        Loosing track of big networks with multiple inputs and outputs? Forgetting to freeze the right layers?
        Struggling to re-generate the input features? `timeserio` can help!
        
        ![complex_network](https://raw.githubusercontent.com/octoenergy/timeserio/master/docs/source/_static/multinetwork_complex.svg)
        
        ## Features
        
        * Enable encapsulated, maintainable and reusable deep learning models
        * Feed data from `pandas` through `scikit-learn` feature pipelines to multiple neural network inputs
        * Manage complex architectures, layer sharing, partial freezing and re-training
        * Provide collection of extensible building blocks with emphasis on time series problems
        
        ## Installation
        
        `pip install timeserio`, or install from source - `pip install -e .`
        
        See [Getting Started](http://docs.octopus.engineering/timeserio/overview/getting_started.html#installation)
        
        ## Documentation and Tutorials
        
        Please see the [official documentation](http://tech.octopus.energy/timeserio/) on how to get started.
        
        ## Development
        
        We welcome contributions and enhancements to any part of the code base, documentation, or tool chain.
        
        See [CONTRIBUTING.md](CONTRIBUTING.md) for details on setting up the development environment, running tests,
        etc.
        
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Description-Content-Type: text/markdown
