make_pipeline (original) (raw)
Time-related feature engineering
Time-related feature engineering
Plot classification probability
Plot classification probability
Classifier comparison
A demo of K-Means clustering on the handwritten digits data
A demo of K-Means clustering on the handwritten digits data
Principal Component Regression vs Partial Least Squares Regression
Principal Component Regression vs Partial Least Squares Regression
Feature transformations with ensembles of trees
Feature transformations with ensembles of trees
Categorical Feature Support in Gradient Boosting
Categorical Feature Support in Gradient Boosting
Combine predictors using stacking
Combine predictors using stacking
Visualizing the probabilistic predictions of a VotingClassifier
Visualizing the probabilistic predictions of a VotingClassifier
Univariate Feature Selection
Pipeline ANOVA SVM
Model-based and sequential feature selection
Model-based and sequential feature selection
Imputing missing values with variants of IterativeImputer
Imputing missing values with variants of IterativeImputer
Imputing missing values before building an estimator
Imputing missing values before building an estimator
Common pitfalls in the interpretation of coefficients of linear models
Common pitfalls in the interpretation of coefficients of linear models
Partial Dependence and Individual Conditional Expectation Plots
Partial Dependence and Individual Conditional Expectation Plots
Scalable learning with polynomial kernel approximation
Scalable learning with polynomial kernel approximation
Comparing Linear Bayesian Regressors
Comparing Linear Bayesian Regressors
Lasso model selection via information criteria
Lasso model selection via information criteria
Lasso model selection: AIC-BIC / cross-validation
Lasso model selection: AIC-BIC / cross-validation
Regularization path of L1- Logistic Regression
Regularization path of L1- Logistic Regression
Poisson regression and non-normal loss
Poisson regression and non-normal loss
Polynomial and Spline interpolation
Polynomial and Spline interpolation
Robust linear estimator fitting
Robust linear estimator fitting
One-Class SVM versus One-Class SVM using Stochastic Gradient Descent
One-Class SVM versus One-Class SVM using Stochastic Gradient Descent
Tweedie regression on insurance claims
Tweedie regression on insurance claims
Manifold learning on handwritten digits: Locally Linear Embedding, Isomap…
Manifold learning on handwritten digits: Locally Linear Embedding, Isomap...
Comparing anomaly detection algorithms for outlier detection on toy datasets
Comparing anomaly detection algorithms for outlier detection on toy datasets
Visualizations with Display Objects
Visualizations with Display Objects
Displaying estimators and complex pipelines
Displaying estimators and complex pipelines
Evaluation of outlier detection estimators
Evaluation of outlier detection estimators
Advanced Plotting With Partial Dependence
Advanced Plotting With Partial Dependence
Displaying Pipelines
Introducing the set_output API
Introducing the set_output API
Post-tuning the decision threshold for cost-sensitive learning
Post-tuning the decision threshold for cost-sensitive learning
Detection error tradeoff (DET) curve
Detection error tradeoff (DET) curve
Precision-Recall
Post-hoc tuning the cut-off point of decision function
Post-hoc tuning the cut-off point of decision function
Approximate nearest neighbors in TSNE
Approximate nearest neighbors in TSNE
Dimensionality Reduction with Neighborhood Components Analysis
Dimensionality Reduction with Neighborhood Components Analysis
Varying regularization in Multi-layer Perceptron
Varying regularization in Multi-layer Perceptron
Feature discretization
Importance of Feature Scaling
Comparing Target Encoder with Other Encoders
Comparing Target Encoder with Other Encoders
Target Encoder’s Internal Cross fitting
Target Encoder's Internal Cross fitting
Release Highlights for scikit-learn 0.22
Release Highlights for scikit-learn 0.22
Release Highlights for scikit-learn 0.23
Release Highlights for scikit-learn 0.23
Release Highlights for scikit-learn 0.24
Release Highlights for scikit-learn 0.24
Release Highlights for scikit-learn 1.0
Release Highlights for scikit-learn 1.0
Release Highlights for scikit-learn 1.1
Release Highlights for scikit-learn 1.1
Release Highlights for scikit-learn 1.2
Release Highlights for scikit-learn 1.2
Release Highlights for scikit-learn 1.7
Release Highlights for scikit-learn 1.7
Release Highlights for scikit-learn 1.8
Release Highlights for scikit-learn 1.8
Clustering text documents using k-means
Clustering text documents using k-means