8000 MNT Clean up examples · scikit-learn/scikit-learn@696a125 · GitHub
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DimitriPapadopoulosDimitriPapadopoulos
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MNT Clean up examples
* chmod -x * remove Python shebang from examples: #!/usr/bin/python
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‎examples/classification/plot_classifier_comparison.py

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#!/usr/bin/python
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# -*- coding: utf-8 -*-
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"""
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=====================
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Classifier comparison

‎examples/cluster/plot_cluster_iris.py

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#!/usr/bin/python
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# -*- coding: utf-8 -*-
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"""
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K-means Clustering

‎examples/cluster/plot_digits_agglomeration.py

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Feature agglomeration

‎examples/cluster/plot_face_compress.py

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# -*- coding: utf-8 -*-
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Vector Quantization Example

‎examples/compose/plot_compare_reduction.py

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#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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"""
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=================================================================

‎examples/compose/plot_digits_pipe.py

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Pipelining: chaining a PCA and a logistic regression

‎examples/compose/plot_transformed_target.py

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# -*- coding: utf-8 -*-
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Effect of transforming the targets in regression model

‎examples/datasets/plot_digits_last_image.py

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# -*- coding: utf-8 -*-
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The Digit Dataset

‎examples/datasets/plot_iris_dataset.py

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The Iris Dataset

‎examples/decomposition/plot_pca_3d.py

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Principal components analysis (PCA)

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