Questions about data generation

[Yanboliu123]

I used the code given on the official website for testing, as follows:

import numpy as np
import torch
from sklearn.datasets import load_breast_cancer
from sklearn.model_selection import train_test_split
from tabpfn_extensions import TabPFNClassifier, TabPFNRegressor
from tabpfn_extensions import unsupervised

df = load_breast_cancer(return_X_y=False)
X, y = df["data"], df["target"]
attribute_names = df["feature_names"]

X_train, X_test, y_train, y_test = train_test_split(
X, y, test_size=0.5, random_state=42
)

clf = TabPFNClassifier(n_estimators=3, device='cuda')
reg = TabPFNRegressor(n_estimators=3, device='cuda')
model_unsupervised = unsupervised.TabPFNUnsupervisedModel(
tabpfn_clf=clf, tabpfn_reg=reg
)

feature_indices = [0, 1]

exp_synthetic = unsupervised.experiments.GenerateSyntheticDataExperiment(
task_type="unsupervised"
)

X_tensor = torch.tensor(X_train, dtype=torch.float32).reshape(-1, X_train.shape[1])
y_tensor = torch.tensor(y_train, dtype=torch.float32)

results = exp_synthetic.run(
tabpfn=model_unsupervised,
X=X_tensor,
y=y_tensor,
attribute_names=attribute_names,
temp=0.8,
n_samples=X_train.shape[0] * 3,
indices=feature_indices,
)

if results is None:
raise ValueError("Build failed, please check the library version or parameters!")

After I finished running it, I found that there was an error after running it, that is, there was no new data generated in the "results". I would like to ask you, if I want to save new data as a csv file, how do I do it?