informatics


Nameinformatics JSON
Version 0.0.5rc1 PyPI version JSON
download
home_pageNone
SummaryFramework of fast implementation data processing and operating pipelines
upload_time2024-08-06 12:25:24
maintainerNone
docs_urlNone
authorNone
requires_python>=3.9
licenseApache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 1. Definitions. "License" shall mean the terms and conditions for use, reproduction, and distribution as defined by Sections 1 through 9 of this document. "Licensor" shall mean the copyright owner or entity authorized by the copyright owner that is granting the License. "Legal Entity" shall mean the union of the acting entity and all other entities that control, are controlled by, or are under common control with that entity. For the purposes of this definition, "control" means (i) the power, direct or indirect, to cause the direction or management of such entity, whether by contract or otherwise, or (ii) ownership of fifty percent (50%) or more of the outstanding shares, or (iii) beneficial ownership of such entity. "You" (or "Your") shall mean an individual or Legal Entity exercising permissions granted by this License. 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The contents of the NOTICE file are for informational purposes only and do not modify the License. You may add Your own attribution notices within Derivative Works that You distribute, alongside or as an addendum to the NOTICE text from the Work, provided that such additional attribution notices cannot be construed as modifying the License. You may add Your own copyright statement to Your modifications and may provide additional or different license terms and conditions for use, reproduction, or distribution of Your modifications, or for any such Derivative Works as a whole, provided Your use, reproduction, and distribution of the Work otherwise complies with the conditions stated in this License. 5. Submission of Contributions. Unless You explicitly state otherwise, any Contribution intentionally submitted for inclusion in the Work by You to the Licensor shall be under the terms and conditions of this License, without any additional terms or conditions. Notwithstanding the above, nothing herein shall supersede or modify the terms of any separate license agreement you may have executed with Licensor regarding such Contributions. 6. Trademarks. This License does not grant permission to use the trade names, trademarks, service marks, or product names of the Licensor, except as required for reasonable and customary use in describing the origin of the Work and reproducing the content of the NOTICE file. 7. Disclaimer of Warranty. Unless required by applicable law or agreed to in writing, Licensor provides the Work (and each Contributor provides its Contributions) on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied, including, without limitation, any warranties or conditions of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A PARTICULAR PURPOSE. You are solely responsible for determining the appropriateness of using or redistributing the Work and assume any risks associated with Your exercise of permissions under this License. 8. Limitation of Liability. In no event and under no legal theory, whether in tort (including negligence), contract, or otherwise, unless required by applicable law (such as deliberate and grossly negligent acts) or agreed to in writing, shall any Contributor be liable to You for damages, including any direct, indirect, special, incidental, or consequential damages of any character arising as a result of this License or out of the use or inability to use the Work (including but not limited to damages for loss of goodwill, work stoppage, computer failure or malfunction, or any and all other commercial damages or losses), even if such Contributor has been advised of the possibility of such damages. 9. Accepting Warranty or Additional Liability. While redistributing the Work or Derivative Works thereof, You may choose to offer, and charge a fee for, acceptance of support, warranty, indemnity, or other liability obligations and/or rights consistent with this License. However, in accepting such obligations, You may act only on Your own behalf and on Your sole responsibility, not on behalf of any other Contributor, and only if You agree to indemnify, defend, and hold each Contributor harmless for any liability incurred by, or claims asserted against, such Contributor by reason of your accepting any such warranty or additional liability. END OF TERMS AND CONDITIONS APPENDIX: How to apply the Apache License to your work. To apply the Apache License to your work, attach the following boilerplate notice, with the fields enclosed by brackets "[]" replaced with your own identifying information. (Don't include the brackets!) The text should be enclosed in the appropriate comment syntax for the file format. We also recommend that a file or class name and description of purpose be included on the same "printed page" as the copyright notice for easier identification within third-party archives. NOTICE: 1. Acknowledgements: * basic:: - numpy: https://www.numpy.org 3-Clause BSD Copyright (c) 2005-2023, NumPy Developers. - scipy: https://scipy.org 3-Clause BSD Copyright (c) 2001-2002 Enthought, Inc. 2003-2023, SciPy Developers. - dill: https://github.com/uqfoundation/dill 3-Clause BSD Copyright (c) 2004-2016 California Institute of Technology. Copyright (c) 2016-2024 The Uncertainty Quantification Foundation. - tensorly: https://tensorly.org Modified 3-Clause BSDt Copyright (c) 2016 The tensorly Developers. - pandas: https://pandas.pydata.org BSD 3-Clause License Copyright (c) 2008-2011, AQR Capital Management, LLC, Lambda Foundry, Inc. and PyData Development Team. * option:: instance: - requests: https://requests.readthedocs.io/en/latest Apache License v2.0 Copyright (c) 2023 Kenneth Reitz. - pillow: https://pypi.org/project/pillow HPND license Copyright (c) 1997-2011 by Secret Labs AB. Copyright (c) 1995-2011 by Fredrik Lundh. * option:: visualization: - pyqtgraph: http://www.pyqtgraph.org MIT License Copyright (c) 2012 University of North Carolina at Chapel Hill, Luke Campagnola. * option:: medical: - pydicom: https://github.com/pydicom/pydicom MIT License Copyright (c) 2008-2020 Darcy Mason and pydicom contributors. - SimpleITK: http://simpleitk.org Apache License v2.0 Copyright (c) 2023 NumFOCUS. * build:: package: - setuptools: https://github.com/pypa/setuptools MIT License Copyright (c) 2023 Python Packaging Authority, setuptools Team. - cython: https://cython.org Apache License v2.0 Copyright (c) 2024 Cython Developers. * build:: documentation: - sphinx: https://www.sphinx-doc.org BSD License Copyright (c) 2007-2023 by the Sphinx team. - sphinx-inline-tabs: https://github.com/pradyunsg/sphinx-inline-tabs MIT License Copyright (c) 2020 Pradyun Gedam. 2. Restrictions: To guarantee the beneficial impact of our innovation and creativity, we hereby establish the following restrictions on usage: * sexually obscene, sexual exploitation or abuse related; * libel, defamation, or fraudulence towards any individual or group; * threat or violence incitement on any individual or group; * harassment, inaccurate or intentionally deceptive information; * other illegal activities, or the things engaged in promoting illegal activities; Copyright (c) 2024 Chen Zhang. All rights reserved 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 http://www.apache.org/licenses/LICENSE-2.0 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.
keywords mathematical statistics bayesian inference artificial intellegence amonly detection scientific calculation scientific computation computer vision anomaly detection data processing data visualization pipeline framework
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            ===========
informatics
===========

.. CodeFactor for documentation only; sphinx use sphinx-inline-tabs ext;
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   informatics

Informatics, sourced from its original meaning: the sciences concerned with gathering, manipulating, storing,
retrieving, and classifying recorded information.

It is designed to enable users solve complex problems in science, engineering, and other domains efficiently and
accurately. Its powerful capabilities are achieved through a combination of cutting-edge software engineering
techniques and the elegance of Python's functional programming paradigm. The strength of highly modular and extensible
architecture allows users to quickly assemble and customize data processing pipelines to satisfy their specific needs.
Whether it's data cleaning, transformation, analysis, or visualization, informatics provides a rich set of tools and
functions to facilitate these tasks.

Informatics is built to serve for science as well as engineer domains. It provides ready-made solutions for common
tasks like feature engineering, model training, evaluation, deployment, and more. Refer the
`documentation <https://informatics.readthedocs.io/en/latest/index.html>`_ for a detailed information about its
essential designs, functions, as well as applied scopes.

Main Features
=============

Here list a few of things that informatics featured:

* Powerful integration capability for various utilities (e.g. functions, frames, packages, and etc.) in Python
  ecosystem.

* Universal processing interface designed in high dimensionality to guarantee consistency of calling for different
  types of data.

* Scripting on basis of functional programming paradigm, with properties of robust performance, and easy decoupling
  for extension.

* Intuitive combination of data processing units, for fast experiments, validation, or building for upper
  applications.

* Documentation in details for not only basic functions, but the tutorials, interpretation for essential concepts,
  examples of applications, and such like.

License
=======

Apache License v2.0

Getting Help
============

For usage questions about functions, API reference and example code snippet on documentation would be helpful. While
for other issues and suggestions, post your advice here or mail the author.

----

:Authors: Chen Zhang
:Version: 0.0.5
:Created on: Mar 12, 2024

            

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    "description": "===========\ninformatics\n===========\n\n.. CodeFactor for documentation only; sphinx use sphinx-inline-tabs ext;\n   https://cdn.jsdelivr.net/gh/CubicZebra/PicHost@master/misc/logo_0.jpg\n\n.. image:: https://img.shields.io/pypi/pyversions/informatics\n   :alt: PyPI - Python Version\n\n.. image:: https://img.shields.io/pypi/v/informatics\n   :target: https://pypi.org/project/informatics/\n   :alt: PyPI - Version\n\n.. image:: https://img.shields.io/github/license/CubicZebra/informatics\n   :target: https://github.com/CubicZebra/informatics/blob/main/LICENSE\n\n.. image:: https://www.codefactor.io/repository/github/cubiczebra/informatics/badge\n   :target: https://www.codefactor.io/repository/github/cubiczebra/informatics\n   :alt: CodeFactor\n\n.. image:: https://img.shields.io/github/commit-activity/m/CubicZebra/informatics\n   :alt: GitHub commit activity\n\n.. image:: https://img.shields.io/readthedocs/informatics\n   :alt: Read the Docs\n   :target: https://informatics.readthedocs.io/en/latest/index.html\n\n.. image:: https://img.shields.io/pypi/dm/informatics\n   :alt: PyPI - Downloads\n\n.. figure:: https://cdn.jsdelivr.net/gh/CubicZebra/PicHost@master/misc/logo_font.jpg\n   :name: informatics logo\n   :width: 350\n   :align: center\n\n   informatics\n\nInformatics, sourced from its original meaning: the sciences concerned with gathering, manipulating, storing,\nretrieving, and classifying recorded information.\n\nIt is designed to enable users solve complex problems in science, engineering, and other domains efficiently and\naccurately. Its powerful capabilities are achieved through a combination of cutting-edge software engineering\ntechniques and the elegance of Python's functional programming paradigm. The strength of highly modular and extensible\narchitecture allows users to quickly assemble and customize data processing pipelines to satisfy their specific needs.\nWhether it's data cleaning, transformation, analysis, or visualization, informatics provides a rich set of tools and\nfunctions to facilitate these tasks.\n\nInformatics is built to serve for science as well as engineer domains. It provides ready-made solutions for common\ntasks like feature engineering, model training, evaluation, deployment, and more. Refer the\n`documentation <https://informatics.readthedocs.io/en/latest/index.html>`_ for a detailed information about its\nessential designs, functions, as well as applied scopes.\n\nMain Features\n=============\n\nHere list a few of things that informatics featured:\n\n* Powerful integration capability for various utilities (e.g. functions, frames, packages, and etc.) in Python\n  ecosystem.\n\n* Universal processing interface designed in high dimensionality to guarantee consistency of calling for different\n  types of data.\n\n* Scripting on basis of functional programming paradigm, with properties of robust performance, and easy decoupling\n  for extension.\n\n* Intuitive combination of data processing units, for fast experiments, validation, or building for upper\n  applications.\n\n* Documentation in details for not only basic functions, but the tutorials, interpretation for essential concepts,\n  examples of applications, and such like.\n\nLicense\n=======\n\nApache License v2.0\n\nGetting Help\n============\n\nFor usage questions about functions, API reference and example code snippet on documentation would be helpful. While\nfor other issues and suggestions, post your advice here or mail the author.\n\n----\n\n:Authors: Chen Zhang\n:Version: 0.0.5\n:Created on: Mar 12, 2024\n",
    "bugtrack_url": null,
    "license": "Apache License Version 2.0, January 2004 http://www.apache.org/licenses/  TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION  1. Definitions.  \"License\" shall mean the terms and conditions for use, reproduction, and distribution as defined by Sections 1 through 9 of this document.  \"Licensor\" shall mean the copyright owner or entity authorized by the copyright owner that is granting the License.  \"Legal Entity\" shall mean the union of the acting entity and all other entities that control, are controlled by, or are under common control with that entity. For the purposes of this definition, \"control\" means (i) the power, direct or indirect, to cause the direction or management of such entity, whether by contract or otherwise, or (ii) ownership of fifty percent (50%) or more of the outstanding shares, or (iii) beneficial ownership of such entity.  \"You\" (or \"Your\") shall mean an individual or Legal Entity exercising permissions granted by this License.  \"Source\" form shall mean the preferred form for making modifications, including but not limited to software source code, documentation source, and configuration files.  \"Object\" form shall mean any form resulting from mechanical transformation or translation of a Source form, including but not limited to compiled object code, generated documentation, and conversions to other media types.  \"Work\" shall mean the work of authorship, whether in Source or Object form, made available under the License, as indicated by a copyright notice that is included in or attached to the work (an example is provided in the Appendix below).  \"Derivative Works\" shall mean any work, whether in Source or Object form, that is based on (or derived from) the Work and for which the editorial revisions, annotations, elaborations, or other modifications represent, as a whole, an original work of authorship. For the purposes of this License, Derivative Works shall not include works that remain separable from, or merely link (or bind by name) to the interfaces of, the Work and Derivative Works thereof.  \"Contribution\" shall mean any work of authorship, including the original version of the Work and any modifications or additions to that Work or Derivative Works thereof, that is intentionally submitted to Licensor for inclusion in the Work by the copyright owner or by an individual or Legal Entity authorized to submit on behalf of the copyright owner. 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Subject to the terms and conditions of this License, each Contributor hereby grants to You a perpetual, worldwide, non-exclusive, no-charge, royalty-free, irrevocable copyright license to reproduce, prepare Derivative Works of, publicly display, publicly perform, sublicense, and distribute the Work and such Derivative Works in Source or Object form.  3. Grant of Patent License. Subject to the terms and conditions of this License, each Contributor hereby grants to You a perpetual, worldwide, non-exclusive, no-charge, royalty-free, irrevocable (except as stated in this section) patent license to make, have made, use, offer to sell, sell, import, and otherwise transfer the Work, where such license applies only to those patent claims licensable by such Contributor that are necessarily infringed by their Contribution(s) alone or by combination of their Contribution(s) with the Work to which such Contribution(s) was submitted. If You institute patent litigation against any entity (including a cross-claim or counterclaim in a lawsuit) alleging that the Work or a Contribution incorporated within the Work constitutes direct or contributory patent infringement, then any patent licenses granted to You under this License for that Work shall terminate as of the date such litigation is filed.  4. Redistribution. You may reproduce and distribute copies of the Work or Derivative Works thereof in any medium, with or without modifications, and in Source or Object form, provided that You meet the following conditions:  (a) You must give any other recipients of the Work or Derivative Works a copy of this License; and  (b) You must cause any modified files to carry prominent notices stating that You changed the files; and  (c) You must retain, in the Source form of any Derivative Works that You distribute, all copyright, patent, trademark, and attribution notices from the Source form of the Work, excluding those notices that do not pertain to any part of the Derivative Works; and  (d) If the Work includes a \"NOTICE\" text file as part of its distribution, then any Derivative Works that You distribute must include a readable copy of the attribution notices contained within such NOTICE file, excluding those notices that do not pertain to any part of the Derivative Works, in at least one of the following places: within a NOTICE text file distributed as part of the Derivative Works; within the Source form or documentation, if provided along with the Derivative Works; or, within a display generated by the Derivative Works, if and wherever such third-party notices normally appear. The contents of the NOTICE file are for informational purposes only and do not modify the License. You may add Your own attribution notices within Derivative Works that You distribute, alongside or as an addendum to the NOTICE text from the Work, provided that such additional attribution notices cannot be construed as modifying the License.  You may add Your own copyright statement to Your modifications and may provide additional or different license terms and conditions for use, reproduction, or distribution of Your modifications, or for any such Derivative Works as a whole, provided Your use, reproduction, and distribution of the Work otherwise complies with the conditions stated in this License.  5. Submission of Contributions. Unless You explicitly state otherwise, any Contribution intentionally submitted for inclusion in the Work by You to the Licensor shall be under the terms and conditions of this License, without any additional terms or conditions. Notwithstanding the above, nothing herein shall supersede or modify the terms of any separate license agreement you may have executed with Licensor regarding such Contributions.  6. Trademarks. This License does not grant permission to use the trade names, trademarks, service marks, or product names of the Licensor, except as required for reasonable and customary use in describing the origin of the Work and reproducing the content of the NOTICE file.  7. Disclaimer of Warranty. Unless required by applicable law or agreed to in writing, Licensor provides the Work (and each Contributor provides its Contributions) on an \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied, including, without limitation, any warranties or conditions of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A PARTICULAR PURPOSE. You are solely responsible for determining the appropriateness of using or redistributing the Work and assume any risks associated with Your exercise of permissions under this License.  8. Limitation of Liability. In no event and under no legal theory, whether in tort (including negligence), contract, or otherwise, unless required by applicable law (such as deliberate and grossly negligent acts) or agreed to in writing, shall any Contributor be liable to You for damages, including any direct, indirect, special, incidental, or consequential damages of any character arising as a result of this License or out of the use or inability to use the Work (including but not limited to damages for loss of goodwill, work stoppage, computer failure or malfunction, or any and all other commercial damages or losses), even if such Contributor has been advised of the possibility of such damages.  9. Accepting Warranty or Additional Liability. While redistributing the Work or Derivative Works thereof, You may choose to offer, and charge a fee for, acceptance of support, warranty, indemnity, or other liability obligations and/or rights consistent with this License. However, in accepting such obligations, You may act only on Your own behalf and on Your sole responsibility, not on behalf of any other Contributor, and only if You agree to indemnify, defend, and hold each Contributor harmless for any liability incurred by, or claims asserted against, such Contributor by reason of your accepting any such warranty or additional liability.  END OF TERMS AND CONDITIONS  APPENDIX: How to apply the Apache License to your work.  To apply the Apache License to your work, attach the following boilerplate notice, with the fields enclosed by brackets \"[]\" replaced with your own identifying information. (Don't include the brackets!)  The text should be enclosed in the appropriate comment syntax for the file format. We also recommend that a file or class name and description of purpose be included on the same \"printed page\" as the copyright notice for easier identification within third-party archives.  NOTICE:  1. Acknowledgements:  * basic::  - numpy: https://www.numpy.org 3-Clause BSD Copyright (c) 2005-2023, NumPy Developers.  - scipy: https://scipy.org 3-Clause BSD Copyright (c) 2001-2002 Enthought, Inc. 2003-2023, SciPy Developers.  - dill: https://github.com/uqfoundation/dill 3-Clause BSD Copyright (c) 2004-2016 California Institute of Technology. Copyright (c) 2016-2024 The Uncertainty Quantification Foundation.  - tensorly: https://tensorly.org Modified 3-Clause BSDt Copyright (c) 2016 The tensorly Developers.  - pandas: https://pandas.pydata.org BSD 3-Clause License Copyright (c) 2008-2011, AQR Capital Management, LLC, Lambda Foundry, Inc. and PyData Development Team.  * option:: instance:  - requests: https://requests.readthedocs.io/en/latest Apache License v2.0 Copyright (c) 2023 Kenneth Reitz.  - pillow: https://pypi.org/project/pillow HPND license Copyright (c) 1997-2011 by Secret Labs AB. Copyright (c) 1995-2011 by Fredrik Lundh.  * option:: visualization:  - pyqtgraph: http://www.pyqtgraph.org MIT License Copyright (c) 2012 University of North Carolina at Chapel Hill, Luke Campagnola.  * option:: medical:  - pydicom: https://github.com/pydicom/pydicom MIT License Copyright (c) 2008-2020 Darcy Mason and pydicom contributors.  - SimpleITK: http://simpleitk.org Apache License v2.0 Copyright (c) 2023 NumFOCUS.  * build:: package:  - setuptools: https://github.com/pypa/setuptools MIT License Copyright (c) 2023 Python Packaging Authority, setuptools Team.  - cython: https://cython.org Apache License v2.0 Copyright (c) 2024 Cython Developers.  * build:: documentation:  - sphinx: https://www.sphinx-doc.org BSD License Copyright (c) 2007-2023 by the Sphinx team.  - sphinx-inline-tabs: https://github.com/pradyunsg/sphinx-inline-tabs MIT License Copyright (c) 2020 Pradyun Gedam.  2. Restrictions:  To guarantee the beneficial impact of our innovation and creativity, we hereby establish the following restrictions on usage:  * sexually obscene, sexual exploitation or abuse related;  * libel, defamation, or fraudulence towards any individual or group;  * threat or violence incitement on any individual or group;  * harassment, inaccurate or intentionally deceptive information;  * other illegal activities, or the things engaged in promoting illegal activities;  Copyright (c) 2024 Chen Zhang. All rights reserved  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  http://www.apache.org/licenses/LICENSE-2.0  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. ",
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