feature-selection

The transformer should create computations over windows of past values of the features, and populate them at time t, t being the time of the forecast.

It uses pandas rolling, outputs several comptutations, mean, max, std, etc, and pandas shift to move the computations to the right row.

tmp = (data[variables]
       .rolling(window='3H').mean()  # Average the last 3 hr values.
       .

Just reviewing the docs and found this under the AutoML User Guide:

We should figure out a way to deal with this kind of thing. I think a couple of options here are:

1. Modifying the cell to only show the first few keys or so of the output.
2. Modifying the output cell so that

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

`
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()