[PR] generation param in DeltaThreshold callback

[rodrigo-arenas]

This PR adds the parameter generations to the DeltaThreshold callback.

Now it compares the maximum and minimum values of a metric from the last generations, instead of just the current and previous ones. The default value is 2, so the behavior remains the same as in previous versions.

This is an implementation of the described in issue #64

[codecov[bot]]

Codecov Report

Merging #67 (a8a706d) into master (e9dfb5c) will not change coverage. The diff coverage is 100.00%.

@@            Coverage Diff            @@
##            master       #67   +/-   ##
=========================================
  Coverage   100.00%   100.00%           
=========================================
  Files           19        19           
  Lines          726       725    -1     
=========================================
- Hits           726       725    -1     

Impacted Files	Coverage Δ
sklearn_genetic/callbacks/early_stoppers.py	100.00% <100.00%> (ø)

---

Continue to review full report at Codecov.

Legend - Click here to learn more Δ = absolute <relative> (impact), ø = not affected, ? = missing data Powered by Codecov. Last update e9dfb5c...a8a706d. Read the comment docs.

[shadi2018]

Hello I have the results in the console . would you please tell me how i can delect NaN 3= max-depth ,Balanced_accuracy_bayer= 0.890 gen nevals fitness fitness_std fitness_max fitness_min 0 5 nan nan nan nan 1 7 0.980865 0.00113267 0.982649 0.979315
INFO: ThresholdStopping callback met its criteria INFO: Stopping the algorithm cv_results :::::: GAFeatureSelectionCV(cv=StratifiedKFold(n_splits=4, random_state=0, shuffle=True), estimator=RandomForestClassifier(class_weight='balanced_subsample', max_depth=4), generations=10, mutation_probability=0.01, population_size=5, return_train_score=True, scoring=make_scorer(my_score_loss_func)) [[205 0] [ 5 7]] balanced_accuracy_sklearn: 4_GESA549NR3C1_RFC:: 0.7917 balanced_accuracy_bayer: 4_GES__A549NR3C1___RFC:: 0.9881