scikit-yb

610 posts

scikit-yb

scikit-yb

@scikit_yb

Yellowbrick is a suite of visual diagnostic tools called “Visualizers” that extend the Scikit-Learn API to allow human steering of the model selection process.

가입일 Mayıs 2017
651 팔로잉1.1K 팔로워
scikit-yb
scikit-yb@scikit_yb·
@KhuyenTran16 thanks so much for the code sample and the 🔌! What projects are you using #Yellowbrick for? Also check out our feature dropping curve scikit-yb.org/en/latest/api/… to be used in parallel with the RCECV curve (scikit-yb.org/en/latest/api/…). #validate #ML #docs
Khuyen Tran@KhuyenTran16

To find the hyperparameter where the estimator is neither underfitting nor overfitting, use Yellowbrick's validation curve. Yellowbrick: buff.ly/3u0LrRE #Python #MachineLearning

English
0
1
3
94
scikit-yb
scikit-yb@scikit_yb·
*New WordCorrelationPlot Visualizer *New tests for using sklearn pipeline with visualizers *Updated missing values visualizer to handle multiple data types compatible with numpy and pandas. *Pairwise distance metrics in KElbowVisualizer !Release notes: #version-1-5" target="_blank" rel="nofollow noopener">scikit-yb.org/en/latest/chan…
English
1
1
3
0
John Grady
John Grady@NYRGrady·
@scikit_yb Used it for a field service report text clustering project. Used Token Freq. Dist., t-SNE Corpus Vis., Elbow Method, Silhouette Visualizer, and Intercluster Distance Map.
English
1
0
2
0

탐색

@westurner @radekosmulski @kaggle @mjcavaretta @KhuyenTran16 @LarryGray @RebeccaBilbro @PatrickDeziel