for testing and deploying your application
for finding and fixing issues
for empowering human code reviews
# Author: Simon Blanke
# Email: [email protected]
# License: MIT License
from sklearn.datasets import load_iris
from sklearn.model_selection import cross_val_score
from sklearn.tree import DecisionTreeClassifier
from hyperactive import Hyperactive
from hyperactive.memory import delete_model, delete_model_dataset
data = load_iris()
X, y = data.data, data.target
def model(para, X_train, y_train):
model = DecisionTreeClassifier(criterion=para["criterion"])
scores = cross_val_score(model, X_train, y_train, cv=2)
return scores.mean()
search_config = {model: {"criterion": ["gini"]}}
def test_delete_model():
delete_model(model)
opt = Hyperactive(X, y)
opt.search(search_config)
def test_delete_model_dataset():
delete_model_dataset(model, X, y)
SimonBlanke /
Hyperactive
