Response to reviewers (fix model training)

What's Changed

• Introducing Model Trained on Feature-Selected Cell-Injury Dataset Without JUMP Alignment by @axiomcura in #30
• Update Data Splitting Methodology for Aligned and Non-Aligned Feature-Selected Cell Injury Profiles by @axiomcura in #32
• Adding Two New Models Trained on Unaligned JUMP Feature-Selected Cell Injury Profiles by @axiomcura in #33
• Update Figures with Feature-Selected and JUMP-Aligned Models by @axiomcura in #35
• Documentation Update: Feature Selection Profiles, Data Splitting, and Trained Models by @axiomcura in #36
• Add 'model_label' Parameter for Improved Model Cross Validations Score Tracking in RandomizedSearchCV by @axiomcura in #37

Full Changelog: v2.0...v2.1

Response to reviewer comments

What's Changed

• Updates Figure on 2A by @axiomcura in #18
• Updating README Documentation by @axiomcura in #19
• Installation fixes by @axiomcura in #20
• Notebook bug fixes and documentation updates by @axiomcura in #21
• Adding Coefficient Scores to Analyze Morphological Features Influencing Classification per Injury Class by @axiomcura in #22
• Minor fixes with Figure 2 quality and texts by @axiomcura in #23
• Add Ground Truth Probability Scores by @axiomcura in #24
• Minor figure 2 tweaks by @gwaybio in #27
• Added hyperparameter tuning and solver performance by @axiomcura in #26
• Pipeline Re-run with Reviewer Updates by @axiomcura in #28
• Updating Readme: Fixing typos and clarity by @axiomcura in #29

New Contributors

• @gwaybio made their first contribution in #27

Full Changelog: v1.0...v2.0

Pycytominer paper submission

Adding release tag to coincide with pycytominer paper submission.

What's Changed

• Cytotoxic and Nuisance Metadata Search by @axiomcura in #1
• Generating data splits: Train, Test and holdout datasets by @axiomcura in #2
• Multi-Class Logistic Regression Training and Evaluation by @axiomcura in #3
• Applying JUMP normalized aggregate dataset to Multi-class pre trained model by @axiomcura in #4
• Adding class type into the PR and F1 scores by @axiomcura in #7
• Assessing Multi-Class Logistic Regression Model Performance on JUMP Dataset with Various Data Splits Figures by @axiomcura in #8
• Training Multi-Class Logistic Regression model with only shared features. by @axiomcura in #14
• Figure 2: Model performance and evaluation using Patchwork by @axiomcura in #13
• Finalized figs by @axiomcura in #15
• added supplementary table 2 by @axiomcura in #16

New Contributors

• @axiomcura made their first contribution in #1

Full Changelog: https://github.com/WayScience/Cytotoxic-Nuisance-Metadata-Analysis/commits/v1.0