========================== Saddle: Scala Data Library
Saddle is a data manipulation library for Scala that provides array-backed, indexed, one- and two-dimensional data structures that are judiciously specialized on JVM primitives to avoid the overhead of boxing and unboxing.
Saddle offers vectorized numerical calculations, automatic alignment of data along indices, robustness to missing (N/A) values, and facilities for I/O.
Saddle draws inspiration from several sources, among them the R programming language & statistical environment, the numpy and pandas Python libraries, and the Scala collections library.
Saddle is distributed under the Apache License Version 2.0 (see LICENSE file).
Copyright (c) 2013-2015 Novus Partners, Inc.
Copyright (c) 2013-2015 The Saddle Development Team
All rights reserved.
Saddle is subject to a shared copyright. Each contributor retains copyright to his or her contributions to Saddle, and is free to annotate these contributions via code repository commit messages. The copyright to the entirety of the code base is shared among the Saddle Development Team, comprised of the developers who have made such contributions.
The copyright and license of each file shall read as follows:
Copyright (c) 2013-2015 Saddle Development Team
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
Individual contributors may, if they so desire, append their names to the CONTRIBUTORS file.
About the Copyright Holders
Adam Klein began Saddle development in 2012 while an employee of Novus Partners, Inc. The code was released by Novus under this license in 2013. Adam Klein is lead developer. Saddle was inspired by earlier prototypes developed by Chris Lewis, Cheng Peng, & David Cru. Saddle was also inspired by previous work with pandas, a data analysis library written in Python.