Introduktion till ensemblemetoder

Ensemblemetoder i Python

Román de las Heras

Data Scientist, Appodeal

Välja den bästa modellen

Individuella modeller

Ensemblemetoder i Python

Undersökningar

Enkät

Enkätresultat

Ensemblemetoder i Python

Förkunskaper

  • Supervised Learning with scikit-learn
  • Machine Learning with Tree-Based Models in Python
  • Linear Classifiers in Python

scikit-learn-logotyp

Ensemblemetoder i Python

Tekniker

scikit-learn-logotyp

  • scikit-learn
  • numpy
  • pandas
  • seaborn

mlxtend-logotyp

from sklearn.ensemble import MetaEstimator

# Base estimators
est1 = Model1()
est2 = Model2()
estN = ModelN()

# Meta estimator
est_combined = MetaEstimator(
   estimators=[est1, est2, ..., estN],
   # Additional parameters
)

# Train and test
est_combined.fit(X_train, y_train)

pred = est_combined.predict(X_test)
Ensemblemetoder i Python

Nu kör vi en övning!

Ensemblemetoder i Python

Preparing Video For Download...