Pushing the docs to dev/ for branch: main, commit 76511995f7804727c6f0494ca05e6e3f4d4f5430

Author: sklearn-ci

dev/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip

@@ -74,23 +74,20 @@
     enet.coef_[enet.coef_ != 0],
     markerfmt="x",
     label="Elastic net coefficients",
-    use_line_collection=True,
 )
 plt.setp([m, s], color="#2ca02c")
 m, s, _ = plt.stem(
     np.where(lasso.coef_)[0],
     lasso.coef_[lasso.coef_ != 0],
     markerfmt="x",
     label="Lasso coefficients",
-    use_line_collection=True,
 )
 plt.setp([m, s], color="#ff7f0e")
 plt.stem(
     np.where(coef)[0],
     coef[coef != 0],
     label="true coefficients",
     markerfmt="bx",
-    use_line_collection=True,
 )
 
 plt.legend(loc="best")

dev/_downloads/3d58721191491072eecc520f0a45cdb3/plot_lasso_and_elasticnet.py

@@ -87,7 +87,7 @@
       },
       "outputs": [],
       "source": [
-        "m, s, _ = plt.stem(\n    np.where(enet.coef_)[0],\n    enet.coef_[enet.coef_ != 0],\n    markerfmt=\"x\",\n    label=\"Elastic net coefficients\",\n    use_line_collection=True,\n)\nplt.setp([m, s], color=\"#2ca02c\")\nm, s, _ = plt.stem(\n    np.where(lasso.coef_)[0],\n    lasso.coef_[lasso.coef_ != 0],\n    markerfmt=\"x\",\n    label=\"Lasso coefficients\",\n    use_line_collection=True,\n)\nplt.setp([m, s], color=\"#ff7f0e\")\nplt.stem(\n    np.where(coef)[0],\n    coef[coef != 0],\n    label=\"true coefficients\",\n    markerfmt=\"bx\",\n    use_line_collection=True,\n)\n\nplt.legend(loc=\"best\")\nplt.title(\n    \"Lasso $R^2$: %.3f, Elastic Net $R^2$: %.3f\" % (r2_score_lasso, r2_score_enet)\n)\nplt.show()"
+        "m, s, _ = plt.stem(\n    np.where(enet.coef_)[0],\n    enet.coef_[enet.coef_ != 0],\n    markerfmt=\"x\",\n    label=\"Elastic net coefficients\",\n)\nplt.setp([m, s], color=\"#2ca02c\")\nm, s, _ = plt.stem(\n    np.where(lasso.coef_)[0],\n    lasso.coef_[lasso.coef_ != 0],\n    markerfmt=\"x\",\n    label=\"Lasso coefficients\",\n)\nplt.setp([m, s], color=\"#ff7f0e\")\nplt.stem(\n    np.where(coef)[0],\n    coef[coef != 0],\n    label=\"true coefficients\",\n    markerfmt=\"bx\",\n)\n\nplt.legend(loc=\"best\")\nplt.title(\n    \"Lasso $R^2$: %.3f, Elastic Net $R^2$: %.3f\" % (r2_score_lasso, r2_score_enet)\n)\nplt.show()"
       ]
     }
   ],