for testing and deploying your application
for finding and fixing issues
for empowering human code reviews
from sklearn.model_selection import cross_val_score
from sklearn.ensemble import GradientBoostingRegressor
from hyperactive import BaseExperiment
class SklearnExperiment(BaseExperiment):
def __init__(self, estimator, X, y, cv=4):
super().__init__()
self.estimator = estimator
self.X = X
self.y = y
self.cv = cv
def _score(self, **params):
model = self.estimator(**params)
scores = cross_val_score(model, self.X, self.y, cv=self.cv)
return scores.mean()
class GradientBoostingExperiment(BaseExperiment):
def __init__(self, X, y, cv=4):
self.estimator = GradientBoostingRegressor # The user could also predefine the estimator
SimonBlanke /
Hyperactive
