質問編集履歴
4
誤字修正
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# サンプルデータの追加
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fetch_california_housing = fetch_california_housing()
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X, y = fetch_california_housing
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X, y = fetch_california_housing.data, fetch_california_housing.target
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X_train, X_val, y_train, y_val = train_test_split(X, y, test_size=0.2, random_state=42)
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3
コメント文を修正
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import pandas as pd
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import time
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# サンプル
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# サンプルデータの追加
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fetch_california_housing = fetch_california_housing()
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X, y = fetch_california_housing .data, fetch_california_housing ston.target
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2
ボストンデータが利用できないため、変更
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```Python
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import lightgbm as lgb
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from sklearn.datasets import loa
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from sklearn.datasets import fetch_california_housing
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from sklearn.model_selection import GridSearchCV
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from sklearn.metrics import mean_squared_error
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from sklearn.model_selection import train_test_split
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import time
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# サンプルとしてロードボストンのデータとします。
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fetch_california_housing = fetch_california_housing()
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X, y =
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X, y = fetch_california_housing .data, fetch_california_housing ston.target
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X_train, X_val, y_train, y_val = train_test_split(X, y, test_size=0.2, random_state=42)
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1
import文の追加。サンプルデータの追加。
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### 該当のソースコード
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```Python
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import lightgbm as lgb
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from sklearn.datasets import load_boston
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from sklearn.model_selection import GridSearchCV
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from sklearn.metrics import mean_squared_error
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from sklearn.model_selection import train_test_split
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import numpy as np
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import pandas as pd
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import time
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#
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# サンプルとしてロードボストンのデータとします。
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boston = load_boston()
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X, y = boston.data, boston.target
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X_train, X_val, y_train, y_val = train_test_split(X, y, test_size=0.2, random_state=42)
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