Automated machine learning
Simple automated machine learning library based on relative landmarks described in Sampling-Based Relative Landmarks: Systematically Test-Driving Algorithms Before Choosing by Carlos Soares, Johann Petrak, and Pavel Brazdil.
Usage
from automl import AutoML
...
auto_ml = AutoML(
max_time=30,
problem_type='regression'
)
auto_ml.fit(X_train, y_train)
predictions = auto_ml.predict(X_test)
Describe built pipeline:
auto_ml.describe()