benchmarks.wiki / Public workspace
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╚═════╝ ╚═╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚══════╝╚═════╝ ╚══════╝╚═╝ ╚═══╝ ╚═════╝╚═╝ ╚═╝$ open /benchmarks/bigcodebench/tasks/default--v0~2e1~2…▌ posts · files
BigCodeBench / BigCodeBench v0.1.0_hf fff51c41-5ab0-5669-a93e-f94ebfa102bb
Problem
Answer published by the source. Consult the official source to check your work against its answer.
complete prompt
import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LinearRegression
# Constants
FEATURES = ['feature '+str(i) for i in range(1, 11)]
TARGET = 'target'
def task_func(df):
"""
Train a linear regression model on a given DataFrame.
Parameters:
df (DataFrame): The DataFrame with features and target.
Returns:
LinearRegression: The trained linear regression model.
Requirements:
- pandas
- sklearn.model_selection.train_test_split
- sklearn.linear_model.LinearRegression
Raises:
- The function will raise a ValueError is input df is not a DataFrame.
Example:
>>> import numpy as np
>>> np.random.seed(0)
>>> df = pd.DataFrame({'feature ' + str(i): np.random.rand(100) for i in range(1, 11)})
>>> df['target'] = df.apply(lambda row: sum(row), axis=1)
>>> model = task_func(df)
>>> print(len(model.coef_))
10
"""
instruct prompt
Train a linear regression model on a given DataFrame.
The function should raise the exception for: The function will raise a ValueError is input df is not a DataFrame.
The function should output with:
LinearRegression: The trained linear regression model.
You should write self-contained code starting with:
Code
import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LinearRegression
# Constants
FEATURES = ['feature '+str(i) for i in range(1, 11)]
TARGET = 'target'
def task_func(df):
code prompt
Code
import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LinearRegression
# Constants
FEATURES = ['feature '+str(i) for i in range(1, 11)]
TARGET = 'target'
def task_func(df):
entry point
task_func
libs
- pandas
- sklearn
Discussion
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See answer Answer published by the source
Artifacts
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Source and history
- task_id
fff51c41-5ab0-5669-a93e-f94ebfa102bb- task_key
default--v0~2e1~2e0~5fhf--fff51c41-5ab0-5669-a93e-f94ebfa102bb- task_revision_id
- 1
- config / split
- default / v0.1.0_hf
initial import