TDOSE version 3.1 adds bug fixes and makes TDOSE Python 3 compatible. Improvements compared to TDOSE version 3.0 described in Schmidt et al. (2019) include: Python 3 compatibility Replacing the depreciated Pyfits with astropy.io.fits Introducing subdirectory tdose_examples with executable script, input data, and comparison data for testing TDOSE Function to enable stripping extensions from fits files to enable removing cube extensions from 1D spectra Better handling of contamination modeling when inserting point sources for extraction Fix of bug where NaNs were not propagated correctly in masked arrays when vstacking Change the filling in noise calculations from 0s to NaNs Better handling of singular matrices in flux scalin
Release Notes This release consolidates changes prior to PyMARE integration. In addition to a number...
Version 0.2.0 introduces a number of changes with respect to the v0.1 series of releases. Notably: ...
Release notes 0.3.1 New Features added StratifiedSampler to handle imbalanced datasets (#479) adde...
This release of TDOSE is described in Schmidt et al. (2019). TDOSE version 3.0 extracts 1D spectra f...
The Python Satellite Data Analysis Toolkit (pysat) v3.0.6 is a bug fix release to improve compatibil...
This release provides numerous fixes and improvements, including two new instruments. Python 3.4 is ...
This release fixes a bug where our example database logic did not distinguish between failing exampl...
This release adds several new features, first among them Python 3 support. Changelog added calcu...
The release candidate for spaghetti v1.3 will be the first version to officially support python 3.7 ...
TF MOtif Discovery from Importance SCOres. Video of talk at NIPS MLCB: https://www.youtube.com/watch...
<p><strong>The 4.1.x series is the last to support Python 2.7 and Python 3.5. From 4.2.0...
This release fixes a small number of bugs, adds new measure of model fit, and provides some essentia...
This patch fixes compatibility with Python 3.5.2 (issue #2334). Note that we only test the latest pa...
What's new in versions 2.4.3 Clean up and unification of the python doc strings. Reran all examples...
This is a bugfix release with no new features. We fixed compatibility with numpy 1.24 and Python 3.1...
Release Notes This release consolidates changes prior to PyMARE integration. In addition to a number...
Version 0.2.0 introduces a number of changes with respect to the v0.1 series of releases. Notably: ...
Release notes 0.3.1 New Features added StratifiedSampler to handle imbalanced datasets (#479) adde...
This release of TDOSE is described in Schmidt et al. (2019). TDOSE version 3.0 extracts 1D spectra f...
The Python Satellite Data Analysis Toolkit (pysat) v3.0.6 is a bug fix release to improve compatibil...
This release provides numerous fixes and improvements, including two new instruments. Python 3.4 is ...
This release fixes a bug where our example database logic did not distinguish between failing exampl...
This release adds several new features, first among them Python 3 support. Changelog added calcu...
The release candidate for spaghetti v1.3 will be the first version to officially support python 3.7 ...
TF MOtif Discovery from Importance SCOres. Video of talk at NIPS MLCB: https://www.youtube.com/watch...
<p><strong>The 4.1.x series is the last to support Python 2.7 and Python 3.5. From 4.2.0...
This release fixes a small number of bugs, adds new measure of model fit, and provides some essentia...
This patch fixes compatibility with Python 3.5.2 (issue #2334). Note that we only test the latest pa...
What's new in versions 2.4.3 Clean up and unification of the python doc strings. Reran all examples...
This is a bugfix release with no new features. We fixed compatibility with numpy 1.24 and Python 3.1...
Release Notes This release consolidates changes prior to PyMARE integration. In addition to a number...
Version 0.2.0 introduces a number of changes with respect to the v0.1 series of releases. Notably: ...
Release notes 0.3.1 New Features added StratifiedSampler to handle imbalanced datasets (#479) adde...