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NEW QUESTION: 1
A customer asks the clerk for a paintbrush and a bucket of whitewash for a total price of B dollars. If the paintbrush costs 200 cents less than twice the price of a bucket of whitewash, what is the price of half a bucket of whitewash in dollars?
A. (2B + 200)/3.
B. (B + 200)/2.
C. (B + 2)/6.
D. (B + 2)/6.
E. (B + 2)/3.
Answer: D
Explanation:
Explanation/Reference:
Explanation:
Define W as the price of the bucket of whitewash and P as the price of a paintbrush.
You can write the following equations: P + W = B and P = 2W - 2.
Notice that 200 cents are translated into 2 dollars.
From the equations we can conclude that W = (B + 2)/3.
Therefore the price of half a bucket is (B + 2)/6.

NEW QUESTION: 2
Kim is configuring key rollover settings for users in the organization. She has already specified the existing key strength and age that will trigger a user key rollover. What is another trigger Kim can set to initiate user key rollover?
A. The creation date of the existing key.
B. The certifier used to create the original key.
C. The IBM Notes client version authenticating with the server.
D. The location of the stored key set.
Answer: A

NEW QUESTION: 3
Azure Machine Learning Serviceを使用して、ニューラルネットワーク分類モデルのハイパーパラメーター探索を自動化しています。
次の要件に従ってランダムサンプリングを使用してハイパーパラメーターを自動的に調整するには、ハイパーパラメーター空間を定義する必要があります。
*学習率は、平均値が10、標準偏差が3の正規分布から選択する必要があります。
*バッチサイズは16、32、64でなければなりません。
*維持確率は、0.05から0.1の範囲の均一な分布から選択された値でなければなりません。
Azure Machine Learning ServiceのPython APIのparam_samplingメソッドを使用する必要があります。
コードセグメントをどのように完成させる必要がありますか？ 回答するには、回答エリアで適切なオプションを選択します。
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:

Explanation:
In random sampling, hyperparameter values are randomly selected from the defined search space. Random sampling allows the search space to include both discrete and continuous hyperparameters.
Example:
from azureml.train.hyperdrive import RandomParameterSampling
param_sampling = RandomParameterSampling( {
"learning_rate": normal(10, 3),
"keep_probability": uniform(0.05, 0.1),
"batch_size": choice(16, 32, 64)
}
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/service/how-to-tune-hyperparameters