From e451970307be84e9d2270f9c64174f17417c9511 Mon Sep 17 00:00:00 2001 From: alphasentaurii Date: Tue, 9 Apr 2024 17:59:56 -0400 Subject: [PATCH] tighter formatting --- CHANGES.rst | 10 ---------- 1 file changed, 10 deletions(-) diff --git a/CHANGES.rst b/CHANGES.rst index c9c71c4..f15ae46 100644 --- a/CHANGES.rst +++ b/CHANGES.rst @@ -3,13 +3,9 @@ new features ------------ - - `builder.trained_networks` jwst_cal.zip includes updated (v2) `img3_reg` and new `spec3_reg` predictive models for image and spectroscopic data [#58] - - `preprocessor.ingest.JwstCalIngest` class and cmdline script for automated training data ingest [#57] - - `extractor.radio.JwstCalRadio` subclass for scraping datasets from MAST using ASN metadata [#51] - - `extractor.scrape.FitsScraper.scrape_dataframe` method added for scraping Fits data from dataframe [#52] enhancements @@ -19,22 +15,16 @@ enhancements - `obs` to specify selection of a program ID + observation number - `input_path` accepts either a directory (default) or a filename. If filename, the script will try to find any input exposures that belong to the same program and observation number as that file. - `sfx` attribute is now customizable on instantiation of the class object (default is '_uncal.fits') - - `architect.builder.Builder.save_model` uses preferred keras archive format by default [#50] - - `preprocessor.transform.SkyTransformer` set offsets to 0 for gs/targ fiducial NaN values; custom filename for tx_file [#54] - - `preprocessor.prep.JwstCalPrep` updates in preparation for preprocessing spectroscopic data [#55] - revise spectroscopic data columns - save tx_file name with "-{expmode}" to differentiate between image and spec normalization params - rename target attributes: y_img_train, y_img_test to y_reg_train, y_reg_test - - `preprocessor.scrub.JwstCalScrubber` more sophisticated exposure grouping and L3 product naming [#56] - bug fixes --------- - - `preprocessor.encode.PairEncoder.handle_unknowns` create single new encoding value per unidentified variable [#53]