feature-selection

As a developer, If I want to add content to our notebook-based documentation, I typically modify the notebooks locally and then push changes up and open a PR.

The problem is that we don't want to check-in notebooks with cell outputs into our repo because it makes it harder to analyze the diff during PR reviews and it makes the notebooks larger.

This makes developing the notebooks a pain be

Hello, when I ran your code got "TypeError: unhashable type: 'slice' ".Can you help me analyze the problem?thanks

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import pandas as pd
from sklearn.linear_model import LogisticRegression
from feature_selection_ga import FeatureSelectionGA
data = pd.read_excel("D:\Project_CAD\实验6\data\train_data_1\train_1.xlsx")
x, y = data.iloc[:, :53], data.iloc[:, 56]
model = LogisticRegression()