scikit-learn-contrib
diff --git a/‎examples/plot_pruning.py
Lines changed: 1 addition & 1 deletion b/‎examples/plot_pruning.py
Lines changed: 1 addition & 1 deletion
diff --git a/‎pixi.lock
Lines changed: 34 additions & 35 deletions b/‎pixi.lock
Lines changed: 34 additions & 35 deletions
@@ -72,7 +72,7 @@ def _fastcan_pruning(
     ).fit(X)
     atoms = kmeans.cluster_centers_
     ids_fastcan = minibatch(
-        X.T, atoms.T, n_samples_to_select, batch_size=batch_size, tol=1e-6, verbose=0
+        X.T, atoms.T, n_samples_to_select, batch_size=batch_size, tol=1e-9, verbose=0
     )
     pruned_lr = LogisticRegression(max_iter=110).fit(X[ids_fastcan], y[ids_fastcan])
     return pruned_lr.coef_, pruned_lr.intercept_
Original file line number	Diff line number	Diff line change
`@@ -72,7 +72,7 @@ def _fastcan_pruning(`
`72`	`72`	`).fit(X)`
`73`	`73`	`atoms = kmeans.cluster_centers_`
`74`	`74`	`ids_fastcan = minibatch(`
`75`		`- X.T, atoms.T, n_samples_to_select, batch_size=batch_size, tol=1e-6, verbose=0`
	`75`	`+ X.T, atoms.T, n_samples_to_select, batch_size=batch_size, tol=1e-9, verbose=0`
`76`	`76`	`)`
`77`	`77`	`pruned_lr = LogisticRegression(max_iter=110).fit(X[ids_fastcan], y[ids_fastcan])`
`78`	`78`	`return pruned_lr.coef_, pruned_lr.intercept_`