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Multichem commited on
Commit
d8590d4
·
1 Parent(s): 9c3b642

REDUCING cONTEST sIZE VARIABLE

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Files changed (1) hide show
  1. global_func/predict_dupes.py +6 -6
global_func/predict_dupes.py CHANGED
@@ -335,7 +335,7 @@ def predict_dupes(portfolio, maps_dict, site_var, type_var, Contest_Size, streng
335
  )
336
 
337
  # Calculate dupes formula
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- portfolio['dupes_calc'] = (portfolio['avg_own_rank'] / 1000) * (portfolio['Own'] / 100) * Contest_Size + ((portfolio['salary'] - (60000 - portfolio['Own'])) / 100) - ((60000 - portfolio['salary']) / 100)
339
  portfolio['dupes_calc'] = portfolio['dupes_calc'] * dupes_multiplier * (portfolio['Own'] / (100 + (Contest_Size / 1000))) * portfolio['top_x_presence']
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341
  # Round and handle negative values
@@ -366,7 +366,7 @@ def predict_dupes(portfolio, maps_dict, site_var, type_var, Contest_Size, streng
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  lambda row: sum(1 for player in row if player in top_x_ownership_keys), axis=1
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  )
368
 
369
- portfolio['dupes_calc'] = (portfolio['avg_own_rank'] / 1000) * Contest_Size + ((portfolio['salary'] - (60000 - portfolio['Own'])) / 100) - ((60000 - portfolio['salary']) / 100)
370
  portfolio['dupes_calc'] = portfolio['dupes_calc'] * dupes_multiplier * (portfolio['Own'] / (100 + (Contest_Size / 1000))) * portfolio['top_x_presence']
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  # Round and handle negative values
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  portfolio['Dupes'] = np.where(
@@ -445,7 +445,7 @@ def predict_dupes(portfolio, maps_dict, site_var, type_var, Contest_Size, streng
445
  )
446
 
447
  # Calculate dupes formula
448
- portfolio['dupes_calc'] = (portfolio['avg_own_rank'] / 1000) * Contest_Size + ((portfolio['salary'] - (50000 - portfolio['Own'])) / 100) - ((50000 - portfolio['salary']) / 100)
449
  portfolio['dupes_calc'] = portfolio['dupes_calc'] * dupes_multiplier * (portfolio['Own'] / (100 + (Contest_Size / 1000))) * portfolio['top_x_presence']
450
 
451
  # Round and handle negative values
@@ -496,7 +496,7 @@ def predict_dupes(portfolio, maps_dict, site_var, type_var, Contest_Size, streng
496
  )
497
 
498
  # Calculate dupes formula
499
- portfolio['dupes_calc'] = (portfolio['avg_own_rank'] / 1000) * Contest_Size + ((portfolio['salary'] - (50000 - portfolio['Own'])) / 50) - ((50000 - portfolio['salary']) / 50)
500
  portfolio['dupes_calc'] = portfolio['dupes_calc'] * dupes_multiplier * (portfolio['Own'] / (100 + (Contest_Size / 1000))) * portfolio['top_x_presence']
501
 
502
  # Round and handle negative values
@@ -549,7 +549,7 @@ def predict_dupes(portfolio, maps_dict, site_var, type_var, Contest_Size, streng
549
  )
550
 
551
  # Calculate dupes formula
552
- portfolio['dupes_calc'] = (portfolio['avg_own_rank'] / 1000) * Contest_Size + ((portfolio['salary'] - (50000 - portfolio['Own'])) / 50) - ((50000 - portfolio['salary']) / 50)
553
  portfolio['dupes_calc'] = portfolio['dupes_calc'] * dupes_multiplier * (portfolio['Own'] / (100 + (Contest_Size / 1000))) * portfolio['top_x_presence']
554
 
555
  # Round and handle negative values
@@ -579,7 +579,7 @@ def predict_dupes(portfolio, maps_dict, site_var, type_var, Contest_Size, streng
579
  lambda row: sum(1 for player in row if player in top_x_ownership_keys), axis=1
580
  )
581
 
582
- portfolio['dupes_calc'] = (portfolio['avg_own_rank'] / 1000) * Contest_Size + ((portfolio['salary'] - (50000 - portfolio['Own'])) / 100) - ((50000 - portfolio['salary']) / 100)
583
  portfolio['dupes_calc'] = portfolio['dupes_calc'] * dupes_multiplier * (portfolio['Own'] / (100 + (Contest_Size / 1000))) * portfolio['top_x_presence']
584
  # Round and handle negative values
585
  portfolio['Dupes'] = np.where(
 
335
  )
336
 
337
  # Calculate dupes formula
338
+ portfolio['dupes_calc'] = (portfolio['avg_own_rank'] / 1000) * (Contest_Size / 10) + ((portfolio['salary'] - (60000 - portfolio['Own'])) / 100) - ((60000 - portfolio['salary']) / 100)
339
  portfolio['dupes_calc'] = portfolio['dupes_calc'] * dupes_multiplier * (portfolio['Own'] / (100 + (Contest_Size / 1000))) * portfolio['top_x_presence']
340
 
341
  # Round and handle negative values
 
366
  lambda row: sum(1 for player in row if player in top_x_ownership_keys), axis=1
367
  )
368
 
369
+ portfolio['dupes_calc'] = (portfolio['avg_own_rank'] / 1000) * (Contest_Size / 10) + ((portfolio['salary'] - (60000 - portfolio['Own'])) / 100) - ((60000 - portfolio['salary']) / 100)
370
  portfolio['dupes_calc'] = portfolio['dupes_calc'] * dupes_multiplier * (portfolio['Own'] / (100 + (Contest_Size / 1000))) * portfolio['top_x_presence']
371
  # Round and handle negative values
372
  portfolio['Dupes'] = np.where(
 
445
  )
446
 
447
  # Calculate dupes formula
448
+ portfolio['dupes_calc'] = (portfolio['avg_own_rank'] / 1000) * (Contest_Size / 10) + ((portfolio['salary'] - (50000 - portfolio['Own'])) / 100) - ((50000 - portfolio['salary']) / 100)
449
  portfolio['dupes_calc'] = portfolio['dupes_calc'] * dupes_multiplier * (portfolio['Own'] / (100 + (Contest_Size / 1000))) * portfolio['top_x_presence']
450
 
451
  # Round and handle negative values
 
496
  )
497
 
498
  # Calculate dupes formula
499
+ portfolio['dupes_calc'] = (portfolio['avg_own_rank'] / 1000) * (Contest_Size / 10) + ((portfolio['salary'] - (50000 - portfolio['Own'])) / 50) - ((50000 - portfolio['salary']) / 50)
500
  portfolio['dupes_calc'] = portfolio['dupes_calc'] * dupes_multiplier * (portfolio['Own'] / (100 + (Contest_Size / 1000))) * portfolio['top_x_presence']
501
 
502
  # Round and handle negative values
 
549
  )
550
 
551
  # Calculate dupes formula
552
+ portfolio['dupes_calc'] = (portfolio['avg_own_rank'] / 1000) * (Contest_Size / 10) + ((portfolio['salary'] - (50000 - portfolio['Own'])) / 50) - ((50000 - portfolio['salary']) / 50)
553
  portfolio['dupes_calc'] = portfolio['dupes_calc'] * dupes_multiplier * (portfolio['Own'] / (100 + (Contest_Size / 1000))) * portfolio['top_x_presence']
554
 
555
  # Round and handle negative values
 
579
  lambda row: sum(1 for player in row if player in top_x_ownership_keys), axis=1
580
  )
581
 
582
+ portfolio['dupes_calc'] = (portfolio['avg_own_rank'] / 1000) * (Contest_Size / 10) + ((portfolio['salary'] - (50000 - portfolio['Own'])) / 100) - ((50000 - portfolio['salary']) / 100)
583
  portfolio['dupes_calc'] = portfolio['dupes_calc'] * dupes_multiplier * (portfolio['Own'] / (100 + (Contest_Size / 1000))) * portfolio['top_x_presence']
584
  # Round and handle negative values
585
  portfolio['Dupes'] = np.where(