Estimating spectroscopic-photometric distances with autoregressive flow.
Through pip
pip install ...
or clone this repository and run code from the base directory.
python setup.py install
The tutorial shows some simple use cases.
- Training a new neural network requires PyTorch.
- All these dependencies will be automatically installed alongside with this package
- I develop this package in Python 3.7 using Anaconda.
- Please cite blah, when using this code.
- Yuan-Sen Ting -- ting at ias dot edu
- Francois Lanusse
- Nesar Ramanchandra
Copyright 2019 by Yuan-Sen Ting.
In brief, you can use, distribute, and change this package as you please.
This software is governed by the MIT License:
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.