Update app.py with appropriate import of sklearn datasets
Browse files
app.py
CHANGED
@@ -1,5 +1,5 @@
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import numpy as np
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from sklearn
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import matplotlib.pyplot as plt
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from sklearn import svm, linear_model
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@@ -17,7 +17,7 @@ def auc_analysis(selected_data, n_folds, cls_name):
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default_base = {"n_folds": 5}
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# Load and prepare iris data
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iris = load_iris()
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X_iris, y_iris, target_names_iris = iris.data, iris.target, iris.target_names
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X_iris, y_iris, target_names_iris = X_iris[y_iris != 2], y_iris[y_iris != 2], target_names_iris[0:-1]
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n_samples_iris, n_features_iris = X_iris.shape
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import numpy as np
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from sklearn import datasets
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import matplotlib.pyplot as plt
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from sklearn import svm, linear_model
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default_base = {"n_folds": 5}
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# Load and prepare iris data
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iris = datasets.load_iris()
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X_iris, y_iris, target_names_iris = iris.data, iris.target, iris.target_names
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X_iris, y_iris, target_names_iris = X_iris[y_iris != 2], y_iris[y_iris != 2], target_names_iris[0:-1]
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n_samples_iris, n_features_iris = X_iris.shape
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