Update knn.json

icfaust · web-flow · commit fdd32d1bf9d8 · 2024-10-16T15:51:08.000+02:00
diff --git a/configs/regular/bf16/knn.json b/configs/regular/bf16/knn.json
@@ -22,7 +22,7 @@
                 "estimator_params": { "algorithm": "brute", "metric": "minkowski", "p": [1, 2] }
             },
             "data": [
-		        { "source": "make_classification", "split_kwargs": { "train_size": 50000, "test_size": 1000 },   "generation_kwargs": {  "n_samples": 51000,  "n_features": 100, "n_classes": 2,  "n_informative": "[SPECIAL_VALUE]0.5" } }
+		        { "source": "make_classification", "split_kwargs": { "train_size": 5000000, "test_size": 1000 },   "generation_kwargs": {  "n_samples": 5001000,  "n_features": 100, "n_classes": 2,  "n_informative": "[SPECIAL_VALUE]0.5" } }
             ]
         },
         "synthetic regression data": {
@@ -31,7 +31,7 @@
                 "estimator_params": { "algorithm": "brute", "metric": "minkowski", "p": [1, 2] }
             },
             "data": [
-		        { "source": "make_regression", "split_kwargs": { "train_size": 50000, "test_size": 1000 },   "generation_kwargs": {  "n_samples": 51000,  "n_features": 100, "noise":1.5 } }
+		        { "source": "make_regression", "split_kwargs": { "train_size": 5000000, "test_size": 1000 },   "generation_kwargs": {  "n_samples": 5001000,  "n_features": 100, "noise":1.5 } }
             ]
         }
     },

Original file line number	Diff line number	Diff line change
`@@ -22,7 +22,7 @@`
`22`	`22`	`"estimator_params": { "algorithm": "brute", "metric": "minkowski", "p": [1, 2] }`
`23`	`23`	`},`
`24`	`24`	`"data": [`
`25`		`- { "source": "make_classification", "split_kwargs": { "train_size": 50000, "test_size": 1000 }, "generation_kwargs": { "n_samples": 51000, "n_features": 100, "n_classes": 2, "n_informative": "[SPECIAL_VALUE]0.5" } }`
	`25`	`+ { "source": "make_classification", "split_kwargs": { "train_size": 5000000, "test_size": 1000 }, "generation_kwargs": { "n_samples": 5001000, "n_features": 100, "n_classes": 2, "n_informative": "[SPECIAL_VALUE]0.5" } }`
`26`	`26`	`]`
`27`	`27`	`},`
`28`	`28`	`"synthetic regression data": {`
`@@ -31,7 +31,7 @@`
`31`	`31`	`"estimator_params": { "algorithm": "brute", "metric": "minkowski", "p": [1, 2] }`
`32`	`32`	`},`
`33`	`33`	`"data": [`
`34`		`- { "source": "make_regression", "split_kwargs": { "train_size": 50000, "test_size": 1000 }, "generation_kwargs": { "n_samples": 51000, "n_features": 100, "noise":1.5 } }`
	`34`	`+ { "source": "make_regression", "split_kwargs": { "train_size": 5000000, "test_size": 1000 }, "generation_kwargs": { "n_samples": 5001000, "n_features": 100, "noise":1.5 } }`
`35`	`35`	`]`
`36`	`36`	`}`
`37`	`37`	`},`