A Forecasting and Smoothing Library
pycast aims to provide a python module supporting basic and advanced smoothing and forecasting methods that can be used on time series data.
Copyright (c) 2012-2015 Christian Schwarz
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.
Christian Schwarz, Felix Leupold, Alexander Franke, Tobias Schubotz, Jannik Marten, Jan-Peer Rudolph
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|Filename, size & hash SHA256 hash help||File type||Python version||Upload date|
|pycast-v0.1.5-alpha.macosx-10.10-intel.tar.gz (143.8 kB) Copy SHA256 hash SHA256||Dumb Binary||any||May 28, 2015|
|pycast-v0.1.5_alpha-py2.7.egg (237.2 kB) Copy SHA256 hash SHA256||Egg||2.7||May 28, 2015|
|pycast-v0.1.5-alpha.tar.gz (69.3 kB) Copy SHA256 hash SHA256||Source||None||May 28, 2015|