# No Split
# Scale
from sklearn.preprocessing import StandardScaler
sc_X = StandardScaler()
sc_y = StandardScaler()
X = sc_X.fit_transform(X)
y = np.ravel(sc_y.fit_transform(y.reshape(-1, 1)))

# Fit
from sklearn.svm import SVR
regressor = SVR(kernel = 'rbf')
regressor.fit(X, y)

# predictions
yhat = regressor.predict(6.5)
yhat = sc_y.inverse_transform(yhat)