wandb
library plot_classifier
that will plot several relevant plots:plotly
.wandb.sklearn.plot_learning_curve(model, X, y)
wandb.sklearn.plot_roc(y_true, y_probas, labels)
wandb.sklearn.plot_class_proportions(y_train, y_test, ['dog', 'cat', 'owl'])
wandb.sklearn.plot_precision_recall(y_true, y_probas, labels)
feature_importances_
attribute, like trees.wandb.sklearn.plot_feature_importances(model, ['width', 'height, 'length'])
wandb.sklearn.plot_calibration_curve(clf, X, y, 'RandomForestClassifier')
wandb.sklearn.plot_confusion_matrix(y_true, y_pred, labels)
wandb.sklearn.plot_summary_metrics(model, X_train, y_train, X_test, y_test)
wandb.sklearn.plot_elbow_curve(model, X_train)
wandb.sklearn.plot_silhouette(model, X_train, ['spam', 'not spam'])
wandb.sklearn.plot_outlier_candidates(model, X, y)
wandb.sklearn.plot_residuals(model, X, y)