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## Run the command "python main.py --seed 000" with different values of the seed unifromly spread in [0, 1000] | ||
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# for seed in $(seq 10 12) | ||
for seed in $(seq 1000 3000) | ||
do | ||
python main.py --seed $seed | ||
done | ||
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#%% | ||
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import numpy as np | ||
import matplotlib.pyplot as plt | ||
import pandas as pd | ||
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## Load data from test_score.csv | ||
df = pd.read_csv('test_scores.csv', sep=',', header=0) | ||
df | ||
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# df[""] | ||
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## Compute the mean accross the ind colum | ||
df_mean = df.loc[400:600, 'ind'].mean() | ||
df_mean |
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