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NEW QUESTION: 1
次のように定義された6つのデータポイントを含むPython NumPy配列を評価しています。
データ= [10、20、30、40、50、60]
Python Scikit-learn機械学習ライブラリのk-foldアルゴリズムの埋め込みを使用して、次の出力を生成する必要があります。
train: [10 40 50 60], test: [20 30]
train: [20 30 40 60], test: [10 50]
train: [10 20 30 50], test: [40 60]
出力を生成するには、相互検証を実装する必要があります。
どのようにコードセグメントを完成させるべきですか？回答するには、回答領域のダイアログボックスで適切なコードセグメントを選択します。
注：それぞれの正しい選択には1ポイントの価値があります。

Answer:
Explanation:

ボックス1：k倍
ボックス2：3
K-Foldsクロスバリデーターは、トレイン/テストインデックスを提供して、トレイン/テストセットのデータを分割します。データセットをk個の連続したフォールドに分割します（デフォルトではシャッフルしません）。
パラメータn_splits（int、default = 3）は、折り畳みの数です。少なくとも2でなければなりません。
ボックス3：データ
Example: Example:
>>>
>>> from sklearn.model_selection import KFold
>>> X = np.array([[1, 2], [3, 4], [1, 2], [3, 4]])
>>> y = np.array([1, 2, 3, 4])
>>> kf = KFold(n_splits=2)
>>> kf.get_n_splits(X)
2
>>> print(kf)
KFold(n_splits=2, random_state=None, shuffle=False)
>>> for train_index, test_index in kf.split(X):
print("TRAIN:", train_index, "TEST:", test_index)
X_train, X_test = X[train_index], X[test_index]
y_train, y_test = y[train_index], y[test_index]
TRAIN: [2 3] TEST: [0 1]
TRAIN: [0 1] TEST: [2 3]
参照：
https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.KFold.html

NEW QUESTION: 2
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, white others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
Your company has an Azure subscription that contains the following unused resources:
* 20 user accounts in Azure Active Directory (Azure AD)
* Five groups in Azure AD
* 10 public !P addresses
* 10 network interfaces
You need to reduce the Azure costs for the company. Solution: You remove the unused public IP addresses.
Does this meet the goal?
A. No
B. Yes
Answer: A

NEW QUESTION: 3
You need to Add the custom domain name* to Office 36S K> support the planned changes as quickly as possible.
What should you create to verify the domain names successfully?
A. three alias (CNAME) record
B. three text (TXT) record
C. one text (TXT) record
D. one alias (CNAME) record
Answer: B

NEW QUESTION: 4
Sie müssen lokale Versanddaten nach Azure migrieren.
Was solltest du verwenden?
A. Azure Migrate
B. Azure Database Migration service
C. Azure Cosmos DB Data Migration tool (dt.exe)
D. AzCopy
Answer: B
Explanation:
Explanation
Migrate from on-premises or cloud implementations of MongoDB to Azure Cosmos DB with minimal
downtime by using Azure Database Migration Service. Perform resilient migrations of MongoDB data at scale
and with high reliability.
Scenario: Data migration from on-premises to Azure must minimize costs and downtime.
The application uses MongoDB JSON document storage database for all container and transport information.
References:
https://azure.microsoft.com/en-us/updates/mongodb-to-azure-cosmos-db-online-and-offline-migrations-are-now-