printing check frame

debugging

ping

continuing to adjust dupe predictions

continuing to adjust dupe predictions

Update dupes calculation formula in 'predict_dupes.py' to use salary for scaling instead of max_salary, improving accuracy of predictions.

adjusting dupe prediction formula

Add debug print statements in 'predict_dupes.py' to log key variables during calculation, aiding in the validation of the dupes calculation process.

removing Fanduel specific logic from Predict Dupes

Remove debug print statements from 'app.py' to streamline data loading process and enhance code clarity, while retaining essential data validation steps in 'load_ss_file.py'.

Add debug print statements in 'load_ss_file.py' to log NaN counts after replacing 0 with NaN, enhancing data validation during file loading.

Remove redundant NaN logging from 'Data Load' section of 'app.py' and add initial data load debug statements in 'load_ss_file.py' to enhance data validation and transparency during file loading.

Refactor player comparison logic in 'exposure_spread' function to streamline conditions based on 'type_var', ensuring accurate filtering for Showdown scenarios while maintaining existing functionality.

Refactor salary and projection calculations in 'exposure_spread' function to apply conditional logic based on 'type_var', improving accuracy for Showdown scenarios.

Add debug print statements in 'exposure_spread' function to log comparable player lists, aiding in tracking player selection during execution.

Remove debug print statements and refine player data retrieval logic in 'exposure_spread' function to improve clarity and maintainability.

Add debug print statement for working columns in 'exposure_spread' function to aid in tracking column data during execution.

Refactor 'exposure_spread' function to support specific column selections for player data retrieval, enhancing flexibility in player filtering logic.

Add debug print statements in 'exposure_spread' function to log player exposure and lineup changes for better tracking during testing.

testing exposure management with specific column selections

introduced a button to recalculate diversity

Refactor position eligibility check in 'exposure_spread' to improve clarity and maintainability, ensuring proper handling of player positions during lineup generation.

Implement error handling in 'exposure_spread' to ensure comparable player list is generated safely, defaulting to an empty list if an exception occurs, enhancing robustness in player selection logic.

Add debug print statements in 'exposure_spread' to log existing and comparable players, aiding in troubleshooting player selection logic.

ping

Enhance player selection logic in 'exposure_spread' by adding salary constraints for specific replacements, improving accuracy in lineup generation and incorporating error handling for existing players.

Refactor player selection logic in 'exposure_spread' by removing redundant salary constraints for specific replacements, streamlining the lineup generation process.

Refine player selection in 'exposure_spread' by incorporating salary constraints for specific replacements, enhancing the precision of lineup generation.

Enhance player filtering in 'exposure_spread' by adding salary constraints for specific replacements, improving accuracy in lineup generation.

Refactor exposure_spread function and 'Manage Portfolio' logic to replace stack management with an option to ignore specific stacks, enhancing user control in exposure calculations.

adding diversity to analysis tables

Refactor exposure_spread function to improve readability by consolidating conditional checks for stacking sports and comparable players filtering.

Add specific replacements feature in 'Manage Portfolio' to enhance player selection options and improve exposure calculations.

Refactor 'Manage Portfolio' logic to directly use reassess_edge for both working and export frames, streamlining data processing and enhancing efficiency.

restructuring of own_rank mapping

Add FLEX5 ownership calculations in predict_dupes.py to enhance ownership metrics and improve portfolio analysis.

Refactor predict_dupes.py to remove FLEX5 ownership calculations, simplifying the ownership metrics and improving code clarity.

Add debug print statement for flex rank in predict_dupes.py to enhance troubleshooting capabilities.

Add debug print statement for flex ownerships in predict_dupes.py to assist with troubleshooting

print some debug for showdown

Enhance reassess_edge function by adding max_salary parameter to improve salary handling in the predict_dupes call, ensuring more accurate edge reassessment.

Refactor own_product calculation in predict_dupes.py to remove Contest_Size influence, streamlining the computation of player ownership metrics.

Update dupes calculation in predict_dupes.py by modifying the divisor in the dupes formula from 90 to 120, improving the accuracy of duplicate predictions based on player ownership and contest size.

Refactor own_product calculation in predict_dupes.py to remove Contest_Size dependency, simplifying the computation of player ownership metrics.

Enhance predict_dupes function by adding max_salary parameter for improved salary handling and adjusting sample range slider step in app.py for better user experience.

adjusted own scaling

cleaning up salary subtraction

Update dupes calculation in predict_dupes.py by adjusting salary thresholds from 59700 and 49700 to 60000 and 50000 respectively, enhancing the accuracy of duplicate predictions across different contest sizes.

Refine dupes calculation in predict_dupes.py by updating salary thresholds from 60000 and 50000 to 59700 and 49700 respectively, improving accuracy in duplicate predictions across various contest sizes.

more contest size reductions