Update development.md

Author: ryanurbs

docs/source/development.md

@@ -4,17 +4,21 @@ This section summarizes the past, present, and future development of STREAMLINE.
 ***
 ## Release History
 
-### Current Release - Beta 0.3.1 (August 25, 2023)
-The current version of STREAMLINE is minor update on our previous STREAMLINE project release Beta 0.3.0, 
-minor changes have been added to the replication phase to account for a corner cases, and changes in legend ordering in a few plots.
+### Current Release - Beta 0.3.2 (September 13, 2023)
+#### Minor Updates
+* Fixed command line argument passage for legacy run mode of STREAMLINE
+* Updated legacy run mode of STREAMLINE to submit jobs then end the script instead of waiting for those jobs to complete.
+* Updated STREAMLINE schematic
+* Updated naming of PDF summary file
+* Added description of 'checking job status' in documentation.
 
+### Beta 0.3.1 (August 25, 2023)
 #### Minor Updates
 * Updated the replication phase to handle a special case where no missing value data imputation was conducted for a feature in the training data, but one or more missing values were present for that feature in the replication dataset. Now, when this occurs, a relevant simple imputation strategy is applied to estimate the replication data missing values.  Mean imputation is used for quantitative features, and mode imputation is used for categorical features. Imputation operations are using the pandas `mean()` and `median()` function within `model_replicate.py`.
 * The legends in all the plots including the Composite Feature Importance plots are now ordered alphabetically based on the full name of the models.
 
 
 ### Beta 0.3.0 (August 2023)
-
 #### Major Updates
 * Extended to be able to run in parallel on 7 different types of HPC clusters using `dask_jobqueue` as documented [here](https://jobqueue.dask.org/en/latest/api.html)
 * Extended Phase 1 (previously EDA), to included numerical data encoding, automated data cleaning, feature engineering, and a second round of EDA: