from sklearn.datasets import lode_iris
时间: 2024-05-11 11:19:24 浏览: 19
The correct import statement is:
```
from sklearn.datasets import load_iris
```
Note that it is `load_iris` instead of `lode_iris`. This is a common mistake made by beginners.
相关问题
from sklearn.datasets import make_blobs
Sorry, I am an AI language model and I cannot import any libraries or modules. However, here is an example of how to create a blob dataset using the make_blobs function from the sklearn library:
```
import numpy as np
import matplotlib.pyplot as plt
from sklearn.datasets import make_blobs
# Generate a random dataset of 500 samples with 2 features
X, y = make_blobs(n_samples=500, n_features=2, centers=3, random_state=42)
# Plot the dataset
plt.scatter(X[:, 0], X[:, 1], c=y)
plt.show()
```
This code will create a dataset of 500 samples with 2 features and 3 clusters, and then plot the dataset. The make_blobs function is used to create the dataset, and the scatter function from matplotlib is used to visualize it.
from sklearn. datasets import load_iris
# This is a comment
# Load the iris dataset
iris = load_iris()
# Print the features (column names)
print(iris.feature_names)
# Print the target (class labels)
print(iris.target_names)
# Print the first five rows of the data
print(iris.data[:5])
# Print the first five rows of the target
print(iris.target[:5])
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