def iris():
X, y = load_iris(return_X_y=True)
#clf = LogisticRegression(random_state=0, solver='lbfgs',
# multi_class='multinomial').fit(X, y)
clf = load_model()
print("Hello, Solar System!")
return str(clf.predict(X[:2, :]))
def iris():
model = load_model()
X, y = load_iris(
return_X_y=True) # just to have some data to use when predicting
result = model.predict(X[:2, :])
return str(result)
def iris():
X, y = load_iris(return_X_y=True)
clf = load_model()
return str(clf.predict(X[:2, :]))