8000 MNT Clean up examples · scikit-learn/scikit-learn@cfd50c2 · GitHub
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DimitriPapadopoulosDimitriPapadopoulos
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MNT Clean up examples
* chmod -x * remove Python shebang from examples: #!/usr/bin/python * only UTF-8-encoded files contain "-# -*- coding: utf-8 -*-"
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‎examples/applications/plot_cyclical_feature_engineering.py

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"""
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Time-related feature engineering

‎examples/applications/plot_digits_denoising.py

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Image denoising using kernel PCA

‎examples/classification/plot_classifier_comparison.py

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Classifier comparison

‎examples/cluster/plot_cluster_iris.py

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K-means Clustering

‎examples/cluster/plot_color_quantization.py

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Color Quantization using K-Means

‎examples/cluster/plot_dbscan.py

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Demo of DBSCAN clustering algorithm

‎examples/cluster/plot_digits_agglomeration.py

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Feature agglomeration

‎examples/cluster/plot_face_compress.py

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Vector Quantization Example

‎examples/compose/plot_compare_reduction.py

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Selecting dimensionality reduction with Pipeline and GridSearchCV

‎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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Effect of transforming the targets in regression model

‎examples/datasets/plot_digits_last_image.py

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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)

‎examples/decomposition/plot_pca_iris.py

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PCA example with Iris Data-set

‎examples/gaussian_process/plot_gpc_isoprobability.py

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Iso-probability lines for Gaussian Processes classification (GPC)

‎examples/linear_model/plot_iris_logistic.py

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Logistic Regression 3-class Classifier

‎examples/linear_model/plot_lasso_lars.py

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Lasso path using LARS

‎examples/linear_model/plot_logistic.py

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Logistic function

‎examples/linear_model/plot_logistic_path.py

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Regularization path of L1- Logistic Regression

‎examples/linear_model/plot_multi_task_lasso_support.py

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Joint feature selection with multi-task Lasso

‎examples/linear_model/plot_ols.py

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Linear Regression Example

‎examples/linear_model/plot_ols_3d.py

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Sparsity Example: Fitting only features 1 and 2

‎examples/linear_model/plot_ols_ridge_variance.py

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Ordinary Least Squares and Ridge Regression Variance

‎examples/linear_model/plot_tweedie_regression_insurance_claims.py

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Tweedie regression on insurance claims

‎examples/manifold/plot_manifold_sphere.py

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Manifold Learning methods on a severed sphere

‎examples/model_selection/grid_search_text_feature_extraction.py

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Sample pipeline for text feature extraction and evaluation

‎examples/model_selection/plot_grid_search_stats.py

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Statistical comparison of models using grid search

‎examples/preprocessing/plot_all_scaling.py

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Compare the effect of different scalers on data with outliers

‎examples/preprocessing/plot_discretization_classification.py

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======================

‎examples/preprocessing/plot_scaling_importance.py

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Importance of Feature Scaling

‎examples/svm/plot_rbf_parameters.py

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RBF SVM parameters
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``gamma_range`` steps will increase the resolution of the hyper-parameter heat
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import numpy as np

‎examples/svm/plot_svm_kernels.py

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SVM-Kernels

‎examples/svm/plot_svm_margin.py

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SVM Margins Example

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