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我想在我的Google Colab笔记本中使用Stanford CoreNLP。为此，我需要Java。有没有办法在这些机器上安装Java？

我目前拥有的是：

!pip install StanfordCoreNLP
from stanfordcorenlp import StanfordCoreNLP
nlp = StanfordCoreNLP('stanford-corenlp', lang='de', memory='4g')
...
nlp.close()

我得到错误：

FileNotFoundError: [Errno 2] No such file or directory: 'java': 'java'

我的代码基于sklearn网站上的示例：https ://scikit-learn.org/stable/auto_examples/model_selection/plot_nested_cross_validation_iris.html

我正在尝试在内部和外部简历中使用 GroupKFold。

from sklearn.datasets import load_iris\nfrom matplotlib import pyplot as plt\nfrom sklearn.svm import SVC\nfrom sklearn.model_selection import GridSearchCV, cross_val_score, KFold,GroupKFold\nimport numpy as np\n\n# Load the dataset\niris = load_iris()\nX_iris = iris.data\ny_iris = iris.target\n\n# Set up possible values of parameters to optimize over\np_grid = {"C": [1, 10, 100],\n          "gamma": [.01, .1]}\n\n# We will use a Support Vector Classifier with "rbf" kernel\nsvm = SVC(kernel="rbf")\n\n# Choose cross-validation techniques for the inner and outer loops,\n# independently of the dataset.\n# E.g "GroupKFold", …