recording changes, but this does not work anymore

quietlight

Mar 3, 2024, 2:03 AM

ETOIK7VEDSRQX6JISLV7WWAW2O7UTBWV6MHTRKVTHARXOD77MX2QC

Dependencies

• [2] QPBH7QWC added MLBaste for confusion matrix, f1, roc, must still remove freq tables
• [3] NMQCXLNG catch up commit, about to do some work on prediction loop
• [4] NV7FXZ5Q first commit
• [5] E3Y55MPR added perceptual colour maps and changed get_image_from_sample
• [6] ZGLDIQ4G rolled back reduced and bifurcated training set used to test models before going away
• [7] RBXUHIO2 made somn small changes and reverted them mostly
• [8] 3FAESP6N catch up with changes, mainly construct primary dataset
• [9] 4BTZNCRM catch up commit before starting work

Change contents

• edit in src/Train.jl at line 6
  [3.335676]

  [3.335676]
  + import MLBase
• replacement in src/Train.jl at line 29
  [2.126]→[2.126:187](∅→∅)
  − train("K1-9_original_set", 20, glob_pattern, true, 0.90, 64)
  [2.126]

  [3.0]
  + train("K1-9_original_set", 2, glob_pattern, true, 0.90, 64)
• replacement in src/Train.jl at line 52
  [3.336948]→[2.188:251](∅→∅)
  − images = glob(glob_pattern) #|> shuffle! |> x -> x[1:1000]
  [3.336948]

  [3.337010]
  + images = glob(glob_pattern) |> shuffle! |> x -> x[1:10000]
• replacement in src/Train.jl at line 85
  [3.338053]→[3.338053:338077](∅→∅)
  − label_to_index,
  [3.338053]

  [3.338077]
  + label_to_index
• replacement in src/Train.jl at line 257
  [3.343261]→[2.252:287](∅→∅)
  − function evaluate(m, d, c=classes)
  [3.343261]

  [3.343285]
  + function evaluate(m, d, c)
• replacement in src/Train.jl at line 260
  [3.343312]→[3.343312:343342](∅→∅)
  − pred = []

  − actual = []
  [3.343312]

  [3.343342]
  + pred = Int64[]

  + actual = Int64[]
• replacement in src/Train.jl at line 273
  [2.416]→[2.416:440](∅→∅)
  − r=roc(actual, pred)
  [2.416]

  [2.440]
  + r=MLBase.roc(actual, pred)
• replacement in src/Train.jl at line 305
  [3.344368]→[2.482:532](∅→∅)
  − @time eval, vcm, vroc = evaluate(model, test)
  [3.344368]

  [2.532]
  + @time eval, vcm, vroc = evaluate(model, test, classes)
• replacement in src/Train.jl at line 317
  [3.344691]→[2.692:786](∅→∅)
  − @time metric_train, train_confusion_matrix, train_roc = evaluate(model, train_sample)
  [3.344691]

  [3.344774]
  + @time metric_train, train_confusion_matrix, train_roc = evaluate(model, train_sample, classes)
• replacement in src/Train.jl at line 324
  [3.344896]→[2.879:962](∅→∅)
  − @time metric_test, test_confusion_matrix, test_roc = evaluate(model, test)
  [3.344896]

  [3.344969]
  + @time metric_test, test_confusion_matrix, test_roc = evaluate(model, test, classes)