diff --git a/01-DataPreprocessing.slides.html b/01-DataPreprocessing.slides.html index f110ff8..7a7922f 100644 --- a/01-DataPreprocessing.slides.html +++ b/01-DataPreprocessing.slides.html @@ -7631,7 +7631,6 @@
Considering (volume, variety, velocity, veracity)
, we focus on the (*, structured, batch, *)
scenario
Relational data are usually collected in tabular format
[CV] END max_features=sqrt, min_samples_split=5, n_estimators=50; total time= 1.1s +[CV] END max_features=sqrt, min_samples_split=5, n_estimators=50; total time= 1.0s
[CV] END max_features=1.0, min_samples_split=5, n_estimators=100; total time= 6.7s +[CV] END max_features=1.0, min_samples_split=5, n_estimators=100; total time= 6.8s
[CV] END max_features=1.0, min_samples_split=2, n_estimators=100; total time= 7.4s +[CV] END max_features=1.0, min_samples_split=2, n_estimators=100; total time= 7.5s
[CV] END max_features=1.0, min_samples_split=2, n_estimators=100; total time= 7.2s +[CV] END max_features=1.0, min_samples_split=2, n_estimators=100; total time= 7.3s
<matplotlib.collections.PathCollection at 0x7f2a882a8940>+
<matplotlib.collections.PathCollection at 0x7fc2534b4880>
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[flaml.automl.logger: 04-10 14:00:08] {1691} INFO - Evaluation method: cv +[flaml.automl.logger: 04-10 13:59:42] {1691} INFO - Evaluation method: cv
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[flaml.automl.logger: 04-10 14:00:08] {1901} INFO - List of ML learners in AutoML Run: ['lgbm', 'rf', 'xgboost', 'extra_tree', 'xgb_limitdepth', 'lrl1'] +[flaml.automl.logger: 04-10 13:59:42] {1901} INFO - List of ML learners in AutoML Run: ['lgbm', 'rf', 'xgboost', 'extra_tree', 'xgb_limitdepth', 'lrl1']
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[flaml.automl.logger: 04-10 14:01:09] {2628} INFO - retrain lgbm for 0.7s +[flaml.automl.logger: 04-10 14:00:43] {2628} INFO - retrain lgbm for 0.7s
[flaml.automl.logger: 04-10 14:01:09] {2631} INFO - retrained model: LGBMClassifier(colsample_bytree=0.6782006405163307, +[flaml.automl.logger: 04-10 14:00:43] {2631} INFO - retrained model: LGBMClassifier(colsample_bytree=0.6782006405163307, learning_rate=0.08222714104485472, max_bin=511, min_child_samples=5, n_estimators=1, n_jobs=-1, num_leaves=254, reg_alpha=0.003934614746573571, reg_lambda=0.003560646472734122, @@ -11238,14 +11238,14 @@AutoML with auto-sklearn
-[flaml.automl.logger: 04-10 14:01:09] {1931} INFO - fit succeeded +[flaml.automl.logger: 04-10 14:00:43] {1931} INFO - fit succeeded
[flaml.automl.logger: 04-10 14:01:09] {1932} INFO - Time taken to find the best model: 46.398579597473145 +[flaml.automl.logger: 04-10 14:00:43] {1932} INFO - Time taken to find the best model: 46.53488326072693