import pandas as pd
from pygam import LogisticGAM
from sklearn.datasets import load_breast_cancer
#load the breast cancer data set
data = load_breast_cancer()
# keep first 6 features only
df = pd.DataFrame(data.data, columns=data.feature_names) [['mean radius', 'mean texture', 'mean perimeter', 'mean area', 'mean smoothness', 'mean compactness']]
target_df = pd.Series(data.target)
df.describe()
X = df[['mean radius', 'mean texture', 'mean perimeter', 'mean area', 'mean smoothness', 'mean compactness']]
#Fit a model with the default parameters
gam = LogisticGAM().fit(X,y)
gam.accuracy(X,y)
XX = generate_X_grid(gam)
错误:
NameError
<ipython-input-17-xxx
---> 1 XX = generate_X_grid(gam)
NameError: name 'generate_X_grid' is not defined