diff --git a/docs/source/examples/example_codecarbon.ipynb b/docs/source/examples/example_codecarbon.ipynb index f425a0db..074074e3 100644 --- a/docs/source/examples/example_codecarbon.ipynb +++ b/docs/source/examples/example_codecarbon.ipynb @@ -59,7 +59,7 @@ "[codecarbon]\n", "offline_mode = False\n", "measure_power_secs = 25\n", - "tracking_mode = machine \n", + "tracking_mode = process\n", "log_level = error\n", "save_to_file = True\n", "output_dir = output/CodeCarbon\n", @@ -245,17 +245,17 @@ " 5\n", " 2\n", " linear\n", - " 2023-05-19 13:42:41\n", - " created\n", - " None\n", - " None\n", - " None\n", - " None\n", - " None\n", - " None\n", - " None\n", - " None\n", - " None\n", + " 2023-05-26 10:54:27\n", + " done\n", + " 2023-05-26 10:54:27\n", + " example_notebook\n", + " Worklaptop\n", + " Pipeline(steps=[('standardscaler', StandardSca...\n", + " 0.971667\n", + " 0.971667\n", + " 0.966667\n", + " 0.966667\n", + " 2023-05-26 10:54:34\n", " None\n", " \n", " \n", @@ -265,17 +265,17 @@ " 5\n", " 4\n", " linear\n", - " 2023-05-19 13:42:41\n", - " created\n", - " None\n", - " None\n", - " None\n", - " None\n", - " None\n", - " None\n", - " None\n", - " None\n", - " None\n", + " 2023-05-26 10:54:27\n", + " done\n", + " 2023-05-26 10:54:34\n", + " example_notebook\n", + " Worklaptop\n", + " Pipeline(steps=[('standardscaler', StandardSca...\n", + " 0.971667\n", + " 0.971667\n", + " 0.966667\n", + " 0.966667\n", + " 2023-05-26 10:54:39\n", " None\n", " \n", " \n", @@ -285,17 +285,17 @@ " 5\n", " 6\n", " linear\n", - " 2023-05-19 13:42:41\n", - " created\n", - " None\n", - " None\n", - " None\n", - " None\n", - " None\n", - " None\n", - " None\n", - " None\n", - " None\n", + " 2023-05-26 10:54:27\n", + " done\n", + " 2023-05-26 10:54:39\n", + " example_notebook\n", + " Worklaptop\n", + " Pipeline(steps=[('standardscaler', StandardSca...\n", + " 0.971667\n", + " 0.971667\n", + " 0.966667\n", + " 0.966667\n", + " 2023-05-26 10:54:44\n", " None\n", " \n", " \n", @@ -305,17 +305,17 @@ " 5\n", " 2\n", " poly\n", - " 2023-05-19 13:42:41\n", - " created\n", - " None\n", - " None\n", - " None\n", - " None\n", - " None\n", - " None\n", - " None\n", - " None\n", - " None\n", + " 2023-05-26 10:54:27\n", + " done\n", + " 2023-05-26 10:54:45\n", + " example_notebook\n", + " Worklaptop\n", + " Pipeline(steps=[('standardscaler', StandardSca...\n", + " 0.936667\n", + " 0.936667\n", + " 0.933333\n", + " 0.933333\n", + " 2023-05-26 10:54:50\n", " None\n", " \n", " \n", @@ -325,17 +325,17 @@ " 5\n", " 4\n", " poly\n", - " 2023-05-19 13:42:41\n", - " created\n", - " None\n", - " None\n", - " None\n", - " None\n", - " None\n", - " None\n", - " None\n", - " None\n", - " None\n", + " 2023-05-26 10:54:27\n", + " done\n", + " 2023-05-26 10:54:50\n", + " example_notebook\n", + " Worklaptop\n", + " Pipeline(steps=[('standardscaler', StandardSca...\n", + " 0.936667\n", + " 0.936667\n", + " 0.933333\n", + " 0.933333\n", + " 2023-05-26 10:54:55\n", " None\n", " \n", " \n", @@ -345,17 +345,17 @@ " 5\n", " 6\n", " poly\n", - " 2023-05-19 13:42:41\n", - " created\n", - " None\n", - " None\n", - " None\n", - " None\n", - " None\n", - " None\n", - " None\n", - " None\n", - " None\n", + " 2023-05-26 10:54:27\n", + " done\n", + " 2023-05-26 10:54:55\n", + " example_notebook\n", + " Worklaptop\n", + " Pipeline(steps=[('standardscaler', StandardSca...\n", + " 0.936667\n", + " 0.936667\n", + " 0.933333\n", + " 0.933333\n", + " 2023-05-26 10:55:00\n", " None\n", " \n", " \n", @@ -365,17 +365,17 @@ " 5\n", " 2\n", " rbf\n", - " 2023-05-19 13:42:41\n", - " created\n", - " None\n", - " None\n", - " None\n", - " None\n", - " None\n", - " None\n", - " None\n", - " None\n", - " None\n", + " 2023-05-26 10:54:27\n", + " done\n", + " 2023-05-26 10:55:00\n", + " example_notebook\n", + " Worklaptop\n", + " Pipeline(steps=[('standardscaler', StandardSca...\n", + " 0.975000\n", + " 0.975000\n", + " 0.966667\n", + " 0.966667\n", + " 2023-05-26 10:55:06\n", " None\n", " \n", " \n", @@ -385,17 +385,17 @@ " 5\n", " 4\n", " rbf\n", - " 2023-05-19 13:42:41\n", - " created\n", - " None\n", - " None\n", - " None\n", - " None\n", - " None\n", - " None\n", - " None\n", - " None\n", - " None\n", + " 2023-05-26 10:54:27\n", + " done\n", + " 2023-05-26 10:55:06\n", + " example_notebook\n", + " Worklaptop\n", + " Pipeline(steps=[('standardscaler', StandardSca...\n", + " 0.975000\n", + " 0.975000\n", + " 0.966667\n", + " 0.966667\n", + " 2023-05-26 10:55:11\n", " None\n", " \n", " \n", @@ -405,17 +405,17 @@ " 5\n", " 6\n", " rbf\n", - " 2023-05-19 13:42:41\n", - " created\n", - " None\n", - " None\n", - " None\n", - " None\n", - " None\n", - " None\n", - " None\n", - " None\n", - " None\n", + " 2023-05-26 10:54:27\n", + " done\n", + " 2023-05-26 10:55:11\n", + " example_notebook\n", + " Worklaptop\n", + " Pipeline(steps=[('standardscaler', StandardSca...\n", + " 0.975000\n", + " 0.975000\n", + " 0.966667\n", + " 0.966667\n", + " 2023-05-26 10:55:16\n", " None\n", " \n", " \n", @@ -425,17 +425,17 @@ " 5\n", " 2\n", " sigmoid\n", - " 2023-05-19 13:42:41\n", - " created\n", - " None\n", - " None\n", - " None\n", - " None\n", - " None\n", - " None\n", - " None\n", - " None\n", - " None\n", + " 2023-05-26 10:54:27\n", + " done\n", + " 2023-05-26 10:55:16\n", + " example_notebook\n", + " Worklaptop\n", + " Pipeline(steps=[('standardscaler', StandardSca...\n", + " 0.896667\n", + " 0.896667\n", + " 0.893333\n", + " 0.893333\n", + " 2023-05-26 10:55:22\n", " None\n", " \n", " \n", @@ -445,17 +445,17 @@ " 5\n", " 4\n", " sigmoid\n", - " 2023-05-19 13:42:41\n", - " created\n", - " None\n", - " None\n", - " None\n", - " None\n", - " None\n", - " None\n", - " None\n", - " None\n", - " None\n", + " 2023-05-26 10:54:27\n", + " done\n", + " 2023-05-26 10:55:22\n", + " example_notebook\n", + " Worklaptop\n", + " Pipeline(steps=[('standardscaler', StandardSca...\n", + " 0.896667\n", + " 0.896667\n", + " 0.893333\n", + " 0.893333\n", + " 2023-05-26 10:55:27\n", " None\n", " \n", " \n", @@ -465,17 +465,17 @@ " 5\n", " 6\n", " sigmoid\n", - " 2023-05-19 13:42:41\n", - " created\n", - " None\n", - " None\n", - " None\n", - " None\n", - " None\n", - " None\n", - " None\n", - " None\n", - " None\n", + " 2023-05-26 10:54:27\n", + " done\n", + " 2023-05-26 10:55:27\n", + " example_notebook\n", + " Worklaptop\n", + " Pipeline(steps=[('standardscaler', StandardSca...\n", + " 0.896667\n", + " 0.896667\n", + " 0.893333\n", + " 0.893333\n", + " 2023-05-26 10:55:32\n", " None\n", " \n", " \n", @@ -484,46 +484,60 @@ ], "text/plain": [ " ID dataset cross_validation_splits seed kernel creation_date \\\n", - "0 1 iris 5 2 linear 2023-05-19 13:42:41 \n", - "1 2 iris 5 4 linear 2023-05-19 13:42:41 \n", - "2 3 iris 5 6 linear 2023-05-19 13:42:41 \n", - "3 4 iris 5 2 poly 2023-05-19 13:42:41 \n", - "4 5 iris 5 4 poly 2023-05-19 13:42:41 \n", - "5 6 iris 5 6 poly 2023-05-19 13:42:41 \n", - "6 7 iris 5 2 rbf 2023-05-19 13:42:41 \n", - "7 8 iris 5 4 rbf 2023-05-19 13:42:41 \n", - "8 9 iris 5 6 rbf 2023-05-19 13:42:41 \n", - "9 10 iris 5 2 sigmoid 2023-05-19 13:42:41 \n", - "10 11 iris 5 4 sigmoid 2023-05-19 13:42:41 \n", - "11 12 iris 5 6 sigmoid 2023-05-19 13:42:41 \n", + "0 1 iris 5 2 linear 2023-05-26 10:54:27 \n", + "1 2 iris 5 4 linear 2023-05-26 10:54:27 \n", + "2 3 iris 5 6 linear 2023-05-26 10:54:27 \n", + "3 4 iris 5 2 poly 2023-05-26 10:54:27 \n", + "4 5 iris 5 4 poly 2023-05-26 10:54:27 \n", + "5 6 iris 5 6 poly 2023-05-26 10:54:27 \n", + "6 7 iris 5 2 rbf 2023-05-26 10:54:27 \n", + "7 8 iris 5 4 rbf 2023-05-26 10:54:27 \n", + "8 9 iris 5 6 rbf 2023-05-26 10:54:27 \n", + "9 10 iris 5 2 sigmoid 2023-05-26 10:54:27 \n", + "10 11 iris 5 4 sigmoid 2023-05-26 10:54:27 \n", + "11 12 iris 5 6 sigmoid 2023-05-26 10:54:27 \n", "\n", - " status start_date name machine pipeline train_f1 train_accuracy test_f1 \\\n", - "0 created None None None None None None None \n", - "1 created None None None None None None None \n", - "2 created None None None None None None None \n", - "3 created None None None None None None None \n", - "4 created None None None None None None None \n", - "5 created None None None None None None None \n", - "6 created None None None None None None None \n", - "7 created None None None None None None None \n", - "8 created None None None None None None None \n", - "9 created None None None None None None None \n", - "10 created None None None None None None None \n", - "11 created None None None None None None None \n", + " status start_date name machine \\\n", + "0 done 2023-05-26 10:54:27 example_notebook Worklaptop \n", + "1 done 2023-05-26 10:54:34 example_notebook Worklaptop \n", + "2 done 2023-05-26 10:54:39 example_notebook Worklaptop \n", + "3 done 2023-05-26 10:54:45 example_notebook Worklaptop \n", + "4 done 2023-05-26 10:54:50 example_notebook Worklaptop \n", + "5 done 2023-05-26 10:54:55 example_notebook Worklaptop \n", + "6 done 2023-05-26 10:55:00 example_notebook Worklaptop \n", + "7 done 2023-05-26 10:55:06 example_notebook Worklaptop \n", + "8 done 2023-05-26 10:55:11 example_notebook Worklaptop \n", + "9 done 2023-05-26 10:55:16 example_notebook Worklaptop \n", + "10 done 2023-05-26 10:55:22 example_notebook Worklaptop \n", + "11 done 2023-05-26 10:55:27 example_notebook Worklaptop \n", "\n", - " test_accuracy end_date error \n", - "0 None None None \n", - "1 None None None \n", - "2 None None None \n", - "3 None None None \n", - "4 None None None \n", - "5 None None None \n", - "6 None None None \n", - "7 None None None \n", - "8 None None None \n", - "9 None None None \n", - "10 None None None \n", - "11 None None None " + " pipeline train_f1 \\\n", + "0 Pipeline(steps=[('standardscaler', StandardSca... 0.971667 \n", + "1 Pipeline(steps=[('standardscaler', StandardSca... 0.971667 \n", + "2 Pipeline(steps=[('standardscaler', StandardSca... 0.971667 \n", + "3 Pipeline(steps=[('standardscaler', StandardSca... 0.936667 \n", + "4 Pipeline(steps=[('standardscaler', StandardSca... 0.936667 \n", + "5 Pipeline(steps=[('standardscaler', StandardSca... 0.936667 \n", + "6 Pipeline(steps=[('standardscaler', StandardSca... 0.975000 \n", + "7 Pipeline(steps=[('standardscaler', StandardSca... 0.975000 \n", + "8 Pipeline(steps=[('standardscaler', StandardSca... 0.975000 \n", + "9 Pipeline(steps=[('standardscaler', StandardSca... 0.896667 \n", + "10 Pipeline(steps=[('standardscaler', StandardSca... 0.896667 \n", + "11 Pipeline(steps=[('standardscaler', StandardSca... 0.896667 \n", + "\n", + " train_accuracy test_f1 test_accuracy end_date error \n", + "0 0.971667 0.966667 0.966667 2023-05-26 10:54:34 None \n", + "1 0.971667 0.966667 0.966667 2023-05-26 10:54:39 None \n", + "2 0.971667 0.966667 0.966667 2023-05-26 10:54:44 None \n", + "3 0.936667 0.933333 0.933333 2023-05-26 10:54:50 None \n", + "4 0.936667 0.933333 0.933333 2023-05-26 10:54:55 None \n", + "5 0.936667 0.933333 0.933333 2023-05-26 10:55:00 None \n", + "6 0.975000 0.966667 0.966667 2023-05-26 10:55:06 None \n", + "7 0.975000 0.966667 0.966667 2023-05-26 10:55:11 None \n", + "8 0.975000 0.966667 0.966667 2023-05-26 10:55:16 None \n", + "9 0.896667 0.893333 0.893333 2023-05-26 10:55:22 None \n", + "10 0.896667 0.893333 0.893333 2023-05-26 10:55:27 None \n", + "11 0.896667 0.893333 0.893333 2023-05-26 10:55:32 None " ] }, "execution_count": 4, @@ -611,9 +625,9 @@ " 5\n", " 2\n", " linear\n", - " 2023-05-19 13:42:41\n", + " 2023-05-26 10:54:27\n", " done\n", - " 2023-05-19 13:42:41\n", + " 2023-05-26 10:54:27\n", " example_notebook\n", " Worklaptop\n", " Pipeline(steps=[('standardscaler', StandardSca...\n", @@ -621,7 +635,7 @@ " 0.971667\n", " 0.966667\n", " 0.966667\n", - " 2023-05-19 13:42:47\n", + " 2023-05-26 10:54:34\n", " None\n", " \n", " \n", @@ -631,9 +645,9 @@ " 5\n", " 4\n", " linear\n", - " 2023-05-19 13:42:41\n", + " 2023-05-26 10:54:27\n", " done\n", - " 2023-05-19 13:42:47\n", + " 2023-05-26 10:54:34\n", " example_notebook\n", " Worklaptop\n", " Pipeline(steps=[('standardscaler', StandardSca...\n", @@ -641,7 +655,7 @@ " 0.971667\n", " 0.966667\n", " 0.966667\n", - " 2023-05-19 13:42:52\n", + " 2023-05-26 10:54:39\n", " None\n", " \n", " \n", @@ -651,9 +665,9 @@ " 5\n", " 6\n", " linear\n", - " 2023-05-19 13:42:41\n", + " 2023-05-26 10:54:27\n", " done\n", - " 2023-05-19 13:42:52\n", + " 2023-05-26 10:54:39\n", " example_notebook\n", " Worklaptop\n", " Pipeline(steps=[('standardscaler', StandardSca...\n", @@ -661,7 +675,7 @@ " 0.971667\n", " 0.966667\n", " 0.966667\n", - " 2023-05-19 13:42:57\n", + " 2023-05-26 10:54:44\n", " None\n", " \n", " \n", @@ -671,9 +685,9 @@ " 5\n", " 2\n", " poly\n", - " 2023-05-19 13:42:41\n", + " 2023-05-26 10:54:27\n", " done\n", - " 2023-05-19 13:42:58\n", + " 2023-05-26 10:54:45\n", " example_notebook\n", " Worklaptop\n", " Pipeline(steps=[('standardscaler', StandardSca...\n", @@ -681,7 +695,7 @@ " 0.936667\n", " 0.933333\n", " 0.933333\n", - " 2023-05-19 13:43:03\n", + " 2023-05-26 10:54:50\n", " None\n", " \n", " \n", @@ -691,9 +705,9 @@ " 5\n", " 4\n", " poly\n", - " 2023-05-19 13:42:41\n", + " 2023-05-26 10:54:27\n", " done\n", - " 2023-05-19 13:43:03\n", + " 2023-05-26 10:54:50\n", " example_notebook\n", " Worklaptop\n", " Pipeline(steps=[('standardscaler', StandardSca...\n", @@ -701,7 +715,7 @@ " 0.936667\n", " 0.933333\n", " 0.933333\n", - " 2023-05-19 13:43:09\n", + " 2023-05-26 10:54:55\n", " None\n", " \n", " \n", @@ -711,9 +725,9 @@ " 5\n", " 6\n", " poly\n", - " 2023-05-19 13:42:41\n", + " 2023-05-26 10:54:27\n", " done\n", - " 2023-05-19 13:43:09\n", + " 2023-05-26 10:54:55\n", " example_notebook\n", " Worklaptop\n", " Pipeline(steps=[('standardscaler', StandardSca...\n", @@ -721,7 +735,7 @@ " 0.936667\n", " 0.933333\n", " 0.933333\n", - " 2023-05-19 13:43:14\n", + " 2023-05-26 10:55:00\n", " None\n", " \n", " \n", @@ -731,9 +745,9 @@ " 5\n", " 2\n", " rbf\n", - " 2023-05-19 13:42:41\n", + " 2023-05-26 10:54:27\n", " done\n", - " 2023-05-19 13:43:14\n", + " 2023-05-26 10:55:00\n", " example_notebook\n", " Worklaptop\n", " Pipeline(steps=[('standardscaler', StandardSca...\n", @@ -741,7 +755,7 @@ " 0.975000\n", " 0.966667\n", " 0.966667\n", - " 2023-05-19 13:43:19\n", + " 2023-05-26 10:55:06\n", " None\n", " \n", " \n", @@ -751,9 +765,9 @@ " 5\n", " 4\n", " rbf\n", - " 2023-05-19 13:42:41\n", + " 2023-05-26 10:54:27\n", " done\n", - " 2023-05-19 13:43:19\n", + " 2023-05-26 10:55:06\n", " example_notebook\n", " Worklaptop\n", " Pipeline(steps=[('standardscaler', StandardSca...\n", @@ -761,7 +775,7 @@ " 0.975000\n", " 0.966667\n", " 0.966667\n", - " 2023-05-19 13:43:25\n", + " 2023-05-26 10:55:11\n", " None\n", " \n", " \n", @@ -771,9 +785,9 @@ " 5\n", " 6\n", " rbf\n", - " 2023-05-19 13:42:41\n", + " 2023-05-26 10:54:27\n", " done\n", - " 2023-05-19 13:43:25\n", + " 2023-05-26 10:55:11\n", " example_notebook\n", " Worklaptop\n", " Pipeline(steps=[('standardscaler', StandardSca...\n", @@ -781,7 +795,7 @@ " 0.975000\n", " 0.966667\n", " 0.966667\n", - " 2023-05-19 13:43:30\n", + " 2023-05-26 10:55:16\n", " None\n", " \n", " \n", @@ -791,9 +805,9 @@ " 5\n", " 2\n", " sigmoid\n", - " 2023-05-19 13:42:41\n", + " 2023-05-26 10:54:27\n", " done\n", - " 2023-05-19 13:43:30\n", + " 2023-05-26 10:55:16\n", " example_notebook\n", " Worklaptop\n", " Pipeline(steps=[('standardscaler', StandardSca...\n", @@ -801,7 +815,7 @@ " 0.896667\n", " 0.893333\n", " 0.893333\n", - " 2023-05-19 13:43:36\n", + " 2023-05-26 10:55:22\n", " None\n", " \n", " \n", @@ -811,9 +825,9 @@ " 5\n", " 4\n", " sigmoid\n", - " 2023-05-19 13:42:41\n", + " 2023-05-26 10:54:27\n", " done\n", - " 2023-05-19 13:43:36\n", + " 2023-05-26 10:55:22\n", " example_notebook\n", " Worklaptop\n", " Pipeline(steps=[('standardscaler', StandardSca...\n", @@ -821,7 +835,7 @@ " 0.896667\n", " 0.893333\n", " 0.893333\n", - " 2023-05-19 13:43:41\n", + " 2023-05-26 10:55:27\n", " None\n", " \n", " \n", @@ -831,9 +845,9 @@ " 5\n", " 6\n", " sigmoid\n", - " 2023-05-19 13:42:41\n", + " 2023-05-26 10:54:27\n", " done\n", - " 2023-05-19 13:43:41\n", + " 2023-05-26 10:55:27\n", " example_notebook\n", " Worklaptop\n", " Pipeline(steps=[('standardscaler', StandardSca...\n", @@ -841,7 +855,7 @@ " 0.896667\n", " 0.893333\n", " 0.893333\n", - " 2023-05-19 13:43:46\n", + " 2023-05-26 10:55:32\n", " None\n", " \n", " \n", @@ -850,32 +864,32 @@ ], "text/plain": [ " ID dataset cross_validation_splits seed kernel creation_date \\\n", - "0 1 iris 5 2 linear 2023-05-19 13:42:41 \n", - "1 2 iris 5 4 linear 2023-05-19 13:42:41 \n", - "2 3 iris 5 6 linear 2023-05-19 13:42:41 \n", - "3 4 iris 5 2 poly 2023-05-19 13:42:41 \n", - "4 5 iris 5 4 poly 2023-05-19 13:42:41 \n", - "5 6 iris 5 6 poly 2023-05-19 13:42:41 \n", - "6 7 iris 5 2 rbf 2023-05-19 13:42:41 \n", - "7 8 iris 5 4 rbf 2023-05-19 13:42:41 \n", - "8 9 iris 5 6 rbf 2023-05-19 13:42:41 \n", - "9 10 iris 5 2 sigmoid 2023-05-19 13:42:41 \n", - "10 11 iris 5 4 sigmoid 2023-05-19 13:42:41 \n", - "11 12 iris 5 6 sigmoid 2023-05-19 13:42:41 \n", + "0 1 iris 5 2 linear 2023-05-26 10:54:27 \n", + "1 2 iris 5 4 linear 2023-05-26 10:54:27 \n", + "2 3 iris 5 6 linear 2023-05-26 10:54:27 \n", + "3 4 iris 5 2 poly 2023-05-26 10:54:27 \n", + "4 5 iris 5 4 poly 2023-05-26 10:54:27 \n", + "5 6 iris 5 6 poly 2023-05-26 10:54:27 \n", + "6 7 iris 5 2 rbf 2023-05-26 10:54:27 \n", + "7 8 iris 5 4 rbf 2023-05-26 10:54:27 \n", + "8 9 iris 5 6 rbf 2023-05-26 10:54:27 \n", + "9 10 iris 5 2 sigmoid 2023-05-26 10:54:27 \n", + "10 11 iris 5 4 sigmoid 2023-05-26 10:54:27 \n", + "11 12 iris 5 6 sigmoid 2023-05-26 10:54:27 \n", "\n", " status start_date name machine \\\n", - "0 done 2023-05-19 13:42:41 example_notebook Worklaptop \n", - "1 done 2023-05-19 13:42:47 example_notebook Worklaptop \n", - "2 done 2023-05-19 13:42:52 example_notebook Worklaptop \n", - "3 done 2023-05-19 13:42:58 example_notebook Worklaptop \n", - "4 done 2023-05-19 13:43:03 example_notebook Worklaptop \n", - "5 done 2023-05-19 13:43:09 example_notebook Worklaptop \n", - "6 done 2023-05-19 13:43:14 example_notebook Worklaptop \n", - "7 done 2023-05-19 13:43:19 example_notebook Worklaptop \n", - "8 done 2023-05-19 13:43:25 example_notebook Worklaptop \n", - "9 done 2023-05-19 13:43:30 example_notebook Worklaptop \n", - "10 done 2023-05-19 13:43:36 example_notebook Worklaptop \n", - "11 done 2023-05-19 13:43:41 example_notebook Worklaptop \n", + "0 done 2023-05-26 10:54:27 example_notebook Worklaptop \n", + "1 done 2023-05-26 10:54:34 example_notebook Worklaptop \n", + "2 done 2023-05-26 10:54:39 example_notebook Worklaptop \n", + "3 done 2023-05-26 10:54:45 example_notebook Worklaptop \n", + "4 done 2023-05-26 10:54:50 example_notebook Worklaptop \n", + "5 done 2023-05-26 10:54:55 example_notebook Worklaptop \n", + "6 done 2023-05-26 10:55:00 example_notebook Worklaptop \n", + "7 done 2023-05-26 10:55:06 example_notebook Worklaptop \n", + "8 done 2023-05-26 10:55:11 example_notebook Worklaptop \n", + "9 done 2023-05-26 10:55:16 example_notebook Worklaptop \n", + "10 done 2023-05-26 10:55:22 example_notebook Worklaptop \n", + "11 done 2023-05-26 10:55:27 example_notebook Worklaptop \n", "\n", " pipeline train_f1 \\\n", "0 Pipeline(steps=[('standardscaler', StandardSca... 0.971667 \n", @@ -892,18 +906,18 @@ "11 Pipeline(steps=[('standardscaler', StandardSca... 0.896667 \n", "\n", " train_accuracy test_f1 test_accuracy end_date error \n", - "0 0.971667 0.966667 0.966667 2023-05-19 13:42:47 None \n", - "1 0.971667 0.966667 0.966667 2023-05-19 13:42:52 None \n", - "2 0.971667 0.966667 0.966667 2023-05-19 13:42:57 None \n", - "3 0.936667 0.933333 0.933333 2023-05-19 13:43:03 None \n", - "4 0.936667 0.933333 0.933333 2023-05-19 13:43:09 None \n", - "5 0.936667 0.933333 0.933333 2023-05-19 13:43:14 None \n", - "6 0.975000 0.966667 0.966667 2023-05-19 13:43:19 None \n", - "7 0.975000 0.966667 0.966667 2023-05-19 13:43:25 None \n", - "8 0.975000 0.966667 0.966667 2023-05-19 13:43:30 None \n", - "9 0.896667 0.893333 0.893333 2023-05-19 13:43:36 None \n", - "10 0.896667 0.893333 0.893333 2023-05-19 13:43:41 None \n", - "11 0.896667 0.893333 0.893333 2023-05-19 13:43:46 None " + "0 0.971667 0.966667 0.966667 2023-05-26 10:54:34 None \n", + "1 0.971667 0.966667 0.966667 2023-05-26 10:54:39 None \n", + "2 0.971667 0.966667 0.966667 2023-05-26 10:54:44 None \n", + "3 0.936667 0.933333 0.933333 2023-05-26 10:54:50 None \n", + "4 0.936667 0.933333 0.933333 2023-05-26 10:54:55 None \n", + "5 0.936667 0.933333 0.933333 2023-05-26 10:55:00 None \n", + "6 0.975000 0.966667 0.966667 2023-05-26 10:55:06 None \n", + "7 0.975000 0.966667 0.966667 2023-05-26 10:55:11 None \n", + "8 0.975000 0.966667 0.966667 2023-05-26 10:55:16 None \n", + "9 0.896667 0.893333 0.893333 2023-05-26 10:55:22 None \n", + "10 0.896667 0.893333 0.893333 2023-05-26 10:55:27 None \n", + "11 0.896667 0.893333 0.893333 2023-05-26 10:55:32 None " ] }, "execution_count": 5, @@ -1091,11 +1105,11 @@ " 0\n", " 1\n", " 1\n", - " 2023-05-19T13:42:47\n", + " 2023-05-26T10:54:34\n", " codecarbon\n", - " 1ae0a452-1f31-4cb5-bba7-5025fc24a310\n", - " 0.127287\n", - " 4.295425e-07\n", + " 2932a75d-b837-46b2-96be-ddd7b653ad5c\n", + " 0.148896\n", + " 4.171140e-07\n", " 0.000003\n", " 42.5\n", " 0.0\n", @@ -1104,10 +1118,10 @@ " 12th Gen Intel(R) Core(TM) i7-1260P\n", " None\n", " None\n", - " 9.491\n", - " 51.2993\n", + " 9.6491\n", + " 52.4112\n", " 15.474876\n", - " machine\n", + " process\n", " N\n", " 0\n", " \n", @@ -1115,11 +1129,11 @@ " 1\n", " 2\n", " 2\n", - " 2023-05-19T13:42:52\n", + " 2023-05-26T10:54:39\n", " codecarbon\n", - " 5a788fe6-68ad-464c-9c93-00b9dab3d120\n", - " 0.129615\n", - " 4.349387e-07\n", + " 3852b792-2b03-4d54-b353-d135ab30dcae\n", + " 0.153603\n", + " 4.391955e-07\n", " 0.000003\n", " 42.5\n", " 0.0\n", @@ -1128,10 +1142,10 @@ " 12th Gen Intel(R) Core(TM) i7-1260P\n", " None\n", " None\n", - " 9.491\n", - " 51.2993\n", + " 9.6491\n", + " 52.4112\n", " 15.474876\n", - " machine\n", + " process\n", " N\n", " 0\n", " \n", @@ -1139,11 +1153,11 @@ " 2\n", " 3\n", " 3\n", - " 2023-05-19T13:42:58\n", + " 2023-05-26T10:54:44\n", " codecarbon\n", - " aa70d017-5702-4061-866a-85065d7705aa\n", - " 0.140740\n", - " 4.802010e-07\n", + " 7b1162f6-257e-439c-8e7a-dc9878840f16\n", + " 0.137040\n", + " 3.913845e-07\n", " 0.000003\n", " 42.5\n", " 0.0\n", @@ -1152,10 +1166,10 @@ " 12th Gen Intel(R) Core(TM) i7-1260P\n", " None\n", " None\n", - " 9.491\n", - " 51.2993\n", + " 9.6491\n", + " 52.4112\n", " 15.474876\n", - " machine\n", + " process\n", " N\n", " 0\n", " \n", @@ -1163,11 +1177,11 @@ " 3\n", " 4\n", " 4\n", - " 2023-05-19T13:43:03\n", + " 2023-05-26T10:54:50\n", " codecarbon\n", - " a6d17fbc-371b-4b37-ad40-849a0b4dc6a0\n", - " 0.145664\n", - " 5.013958e-07\n", + " f6a64911-5f3d-422a-b702-b119f0f74363\n", + " 0.124181\n", + " 3.385132e-07\n", " 0.000003\n", " 42.5\n", " 0.0\n", @@ -1176,10 +1190,10 @@ " 12th Gen Intel(R) Core(TM) i7-1260P\n", " None\n", " None\n", - " 9.491\n", - " 51.2993\n", + " 9.6491\n", + " 52.4112\n", " 15.474876\n", - " machine\n", + " process\n", " N\n", " 0\n", " \n", @@ -1187,11 +1201,11 @@ " 4\n", " 5\n", " 5\n", - " 2023-05-19T13:43:09\n", + " 2023-05-26T10:54:55\n", " codecarbon\n", - " d5034158-5942-4547-9e97-b1c1d3561268\n", - " 0.134184\n", - " 4.522562e-07\n", + " 01a7061c-9d39-405a-a37a-c74601a8844d\n", + " 0.146363\n", + " 4.161777e-07\n", " 0.000003\n", " 42.5\n", " 0.0\n", @@ -1200,10 +1214,10 @@ " 12th Gen Intel(R) Core(TM) i7-1260P\n", " None\n", " None\n", - " 9.491\n", - " 51.2993\n", + " 9.6491\n", + " 52.4112\n", " 15.474876\n", - " machine\n", + " process\n", " N\n", " 0\n", " \n", @@ -1211,11 +1225,11 @@ " 5\n", " 6\n", " 6\n", - " 2023-05-19T13:43:14\n", + " 2023-05-26T10:55:00\n", " codecarbon\n", - " f702637b-58de-4a33-a2a4-9738c6ef03c1\n", - " 0.147449\n", - " 5.055414e-07\n", + " fc9783ee-499d-4bc7-9add-bdbd71687601\n", + " 0.156363\n", + " 4.395515e-07\n", " 0.000003\n", " 42.5\n", " 0.0\n", @@ -1224,10 +1238,10 @@ " 12th Gen Intel(R) Core(TM) i7-1260P\n", " None\n", " None\n", - " 9.491\n", - " 51.2993\n", + " 9.6491\n", + " 52.4112\n", " 15.474876\n", - " machine\n", + " process\n", " N\n", " 0\n", " \n", @@ -1235,11 +1249,11 @@ " 6\n", " 7\n", " 7\n", - " 2023-05-19T13:43:19\n", + " 2023-05-26T10:55:06\n", " codecarbon\n", - " 7ce9765d-456e-4e5c-883f-49be5c40d272\n", - " 0.155971\n", - " 5.126985e-07\n", + " 7a7f228e-3bd7-4ffd-9ba8-573a3cc93c23\n", + " 0.151444\n", + " 4.174322e-07\n", " 0.000003\n", " 42.5\n", " 0.0\n", @@ -1248,10 +1262,10 @@ " 12th Gen Intel(R) Core(TM) i7-1260P\n", " None\n", " None\n", - " 9.491\n", - " 51.2993\n", + " 9.6491\n", + " 52.4112\n", " 15.474876\n", - " machine\n", + " process\n", " N\n", " 0\n", " \n", @@ -1259,11 +1273,11 @@ " 7\n", " 8\n", " 8\n", - " 2023-05-19T13:43:25\n", + " 2023-05-26T10:55:11\n", " codecarbon\n", - " 9b8e9f73-33b6-45fc-9e04-28bcc773f25b\n", - " 0.146029\n", - " 4.946110e-07\n", + " 7c4c29d2-7138-43eb-9fa2-7c50f6418f33\n", + " 0.158668\n", + " 4.486187e-07\n", " 0.000003\n", " 42.5\n", " 0.0\n", @@ -1272,10 +1286,10 @@ " 12th Gen Intel(R) Core(TM) i7-1260P\n", " None\n", " None\n", - " 9.491\n", - " 51.2993\n", + " 9.6491\n", + " 52.4112\n", " 15.474876\n", - " machine\n", + " process\n", " N\n", " 0\n", " \n", @@ -1283,11 +1297,11 @@ " 8\n", " 9\n", " 9\n", - " 2023-05-19T13:43:30\n", + " 2023-05-26T10:55:16\n", " codecarbon\n", - " c480badd-95cb-4c30-93a5-1b6e3ef28bd5\n", - " 0.149087\n", - " 5.102916e-07\n", + " 37b7f29a-0900-4d50-a580-0233b7fff7f0\n", + " 0.164625\n", + " 4.833391e-07\n", " 0.000003\n", " 42.5\n", " 0.0\n", @@ -1296,10 +1310,10 @@ " 12th Gen Intel(R) Core(TM) i7-1260P\n", " None\n", " None\n", - " 9.491\n", - " 51.2993\n", + " 9.6491\n", + " 52.4112\n", " 15.474876\n", - " machine\n", + " process\n", " N\n", " 0\n", " \n", @@ -1307,11 +1321,11 @@ " 9\n", " 10\n", " 10\n", - " 2023-05-19T13:43:36\n", + " 2023-05-26T10:55:22\n", " codecarbon\n", - " 31780cb9-158c-4022-96b9-d28ff462dc4e\n", - " 0.138644\n", - " 4.637840e-07\n", + " f6bddcd4-c740-47fd-887a-90f47ce8bc3a\n", + " 0.158521\n", + " 4.742527e-07\n", " 0.000003\n", " 42.5\n", " 0.0\n", @@ -1320,10 +1334,10 @@ " 12th Gen Intel(R) Core(TM) i7-1260P\n", " None\n", " None\n", - " 9.491\n", - " 51.2993\n", + " 9.6491\n", + " 52.4112\n", " 15.474876\n", - " machine\n", + " process\n", " N\n", " 0\n", " \n", @@ -1331,11 +1345,11 @@ " 10\n", " 11\n", " 11\n", - " 2023-05-19T13:43:41\n", + " 2023-05-26T10:55:27\n", " codecarbon\n", - " 61242c83-fd66-4288-b57c-f7fe2fcd97c5\n", - " 0.132500\n", - " 4.592207e-07\n", + " da18c41a-b289-4229-8783-e577e5d5be09\n", + " 0.185377\n", + " 5.610469e-07\n", " 0.000003\n", " 42.5\n", " 0.0\n", @@ -1344,10 +1358,10 @@ " 12th Gen Intel(R) Core(TM) i7-1260P\n", " None\n", " None\n", - " 9.491\n", - " 51.2993\n", + " 9.6491\n", + " 52.4112\n", " 15.474876\n", - " machine\n", + " process\n", " N\n", " 0\n", " \n", @@ -1355,11 +1369,11 @@ " 11\n", " 12\n", " 12\n", - " 2023-05-19T13:43:46\n", + " 2023-05-26T10:55:32\n", " codecarbon\n", - " 01f77e15-4c8f-48a9-ae1e-e7c840c36bcb\n", - " 0.142779\n", - " 4.881456e-07\n", + " 40819cdd-ac2e-46b8-9bd4-91f276702769\n", + " 0.116770\n", + " 3.190361e-07\n", " 0.000003\n", " 42.5\n", " 0.0\n", @@ -1368,10 +1382,10 @@ " 12th Gen Intel(R) Core(TM) i7-1260P\n", " None\n", " None\n", - " 9.491\n", - " 51.2993\n", + " 9.6491\n", + " 52.4112\n", " 15.474876\n", - " machine\n", + " process\n", " N\n", " 0\n", " \n", @@ -1382,32 +1396,32 @@ ], "text/plain": [ " ID experiment_id codecarbon_timestamp project_name \\\n", - "0 1 1 2023-05-19T13:42:47 codecarbon \n", - "1 2 2 2023-05-19T13:42:52 codecarbon \n", - "2 3 3 2023-05-19T13:42:58 codecarbon \n", - "3 4 4 2023-05-19T13:43:03 codecarbon \n", - "4 5 5 2023-05-19T13:43:09 codecarbon \n", - "5 6 6 2023-05-19T13:43:14 codecarbon \n", - "6 7 7 2023-05-19T13:43:19 codecarbon \n", - "7 8 8 2023-05-19T13:43:25 codecarbon \n", - "8 9 9 2023-05-19T13:43:30 codecarbon \n", - "9 10 10 2023-05-19T13:43:36 codecarbon \n", - "10 11 11 2023-05-19T13:43:41 codecarbon \n", - "11 12 12 2023-05-19T13:43:46 codecarbon \n", + "0 1 1 2023-05-26T10:54:34 codecarbon \n", + "1 2 2 2023-05-26T10:54:39 codecarbon \n", + "2 3 3 2023-05-26T10:54:44 codecarbon \n", + "3 4 4 2023-05-26T10:54:50 codecarbon \n", + "4 5 5 2023-05-26T10:54:55 codecarbon \n", + "5 6 6 2023-05-26T10:55:00 codecarbon \n", + "6 7 7 2023-05-26T10:55:06 codecarbon \n", + "7 8 8 2023-05-26T10:55:11 codecarbon \n", + "8 9 9 2023-05-26T10:55:16 codecarbon \n", + "9 10 10 2023-05-26T10:55:22 codecarbon \n", + "10 11 11 2023-05-26T10:55:27 codecarbon \n", + "11 12 12 2023-05-26T10:55:32 codecarbon \n", "\n", " run_id duration emissions \\\n", - "0 1ae0a452-1f31-4cb5-bba7-5025fc24a310 0.127287 4.295425e-07 \n", - "1 5a788fe6-68ad-464c-9c93-00b9dab3d120 0.129615 4.349387e-07 \n", - "2 aa70d017-5702-4061-866a-85065d7705aa 0.140740 4.802010e-07 \n", - "3 a6d17fbc-371b-4b37-ad40-849a0b4dc6a0 0.145664 5.013958e-07 \n", - "4 d5034158-5942-4547-9e97-b1c1d3561268 0.134184 4.522562e-07 \n", - "5 f702637b-58de-4a33-a2a4-9738c6ef03c1 0.147449 5.055414e-07 \n", - "6 7ce9765d-456e-4e5c-883f-49be5c40d272 0.155971 5.126985e-07 \n", - "7 9b8e9f73-33b6-45fc-9e04-28bcc773f25b 0.146029 4.946110e-07 \n", - "8 c480badd-95cb-4c30-93a5-1b6e3ef28bd5 0.149087 5.102916e-07 \n", - "9 31780cb9-158c-4022-96b9-d28ff462dc4e 0.138644 4.637840e-07 \n", - "10 61242c83-fd66-4288-b57c-f7fe2fcd97c5 0.132500 4.592207e-07 \n", - "11 01f77e15-4c8f-48a9-ae1e-e7c840c36bcb 0.142779 4.881456e-07 \n", + "0 2932a75d-b837-46b2-96be-ddd7b653ad5c 0.148896 4.171140e-07 \n", + "1 3852b792-2b03-4d54-b353-d135ab30dcae 0.153603 4.391955e-07 \n", + "2 7b1162f6-257e-439c-8e7a-dc9878840f16 0.137040 3.913845e-07 \n", + "3 f6a64911-5f3d-422a-b702-b119f0f74363 0.124181 3.385132e-07 \n", + "4 01a7061c-9d39-405a-a37a-c74601a8844d 0.146363 4.161777e-07 \n", + "5 fc9783ee-499d-4bc7-9add-bdbd71687601 0.156363 4.395515e-07 \n", + "6 7a7f228e-3bd7-4ffd-9ba8-573a3cc93c23 0.151444 4.174322e-07 \n", + "7 7c4c29d2-7138-43eb-9fa2-7c50f6418f33 0.158668 4.486187e-07 \n", + "8 37b7f29a-0900-4d50-a580-0233b7fff7f0 0.164625 4.833391e-07 \n", + "9 f6bddcd4-c740-47fd-887a-90f47ce8bc3a 0.158521 4.742527e-07 \n", + "10 da18c41a-b289-4229-8783-e577e5d5be09 0.185377 5.610469e-07 \n", + "11 40819cdd-ac2e-46b8-9bd4-91f276702769 0.116770 3.190361e-07 \n", "\n", " emissions_rate cpu_power gpu_power ... cpu_count \\\n", "0 0.000003 42.5 0.0 ... 16.0 \n", @@ -1424,32 +1438,32 @@ "11 0.000003 42.5 0.0 ... 16.0 \n", "\n", " cpu_model gpu_count gpu_model longitude \\\n", - "0 12th Gen Intel(R) Core(TM) i7-1260P None None 9.491 \n", - "1 12th Gen Intel(R) Core(TM) i7-1260P None None 9.491 \n", - "2 12th Gen Intel(R) Core(TM) i7-1260P None None 9.491 \n", - "3 12th Gen Intel(R) Core(TM) i7-1260P None None 9.491 \n", - "4 12th Gen Intel(R) Core(TM) i7-1260P None None 9.491 \n", - "5 12th Gen Intel(R) Core(TM) i7-1260P None None 9.491 \n", - "6 12th Gen Intel(R) Core(TM) i7-1260P None None 9.491 \n", - "7 12th Gen Intel(R) Core(TM) i7-1260P None None 9.491 \n", - "8 12th Gen Intel(R) Core(TM) i7-1260P None None 9.491 \n", - "9 12th Gen Intel(R) Core(TM) i7-1260P None None 9.491 \n", - "10 12th Gen Intel(R) Core(TM) i7-1260P None None 9.491 \n", - "11 12th Gen Intel(R) Core(TM) i7-1260P None None 9.491 \n", + "0 12th Gen Intel(R) Core(TM) i7-1260P None None 9.6491 \n", + "1 12th Gen Intel(R) Core(TM) i7-1260P None None 9.6491 \n", + "2 12th Gen Intel(R) Core(TM) i7-1260P None None 9.6491 \n", + "3 12th Gen Intel(R) Core(TM) i7-1260P None None 9.6491 \n", + "4 12th Gen Intel(R) Core(TM) i7-1260P None None 9.6491 \n", + "5 12th Gen Intel(R) Core(TM) i7-1260P None None 9.6491 \n", + "6 12th Gen Intel(R) Core(TM) i7-1260P None None 9.6491 \n", + "7 12th Gen Intel(R) Core(TM) i7-1260P None None 9.6491 \n", + "8 12th Gen Intel(R) Core(TM) i7-1260P None None 9.6491 \n", + "9 12th Gen Intel(R) Core(TM) i7-1260P None None 9.6491 \n", + "10 12th Gen Intel(R) Core(TM) i7-1260P None None 9.6491 \n", + "11 12th Gen Intel(R) Core(TM) i7-1260P None None 9.6491 \n", "\n", " latitude ram_total_size tracking_mode on_cloud offline_mode \n", - "0 51.2993 15.474876 machine N 0 \n", - "1 51.2993 15.474876 machine N 0 \n", - "2 51.2993 15.474876 machine N 0 \n", - "3 51.2993 15.474876 machine N 0 \n", - "4 51.2993 15.474876 machine N 0 \n", - "5 51.2993 15.474876 machine N 0 \n", - "6 51.2993 15.474876 machine N 0 \n", - "7 51.2993 15.474876 machine N 0 \n", - "8 51.2993 15.474876 machine N 0 \n", - "9 51.2993 15.474876 machine N 0 \n", - "10 51.2993 15.474876 machine N 0 \n", - "11 51.2993 15.474876 machine N 0 \n", + "0 52.4112 15.474876 process N 0 \n", + "1 52.4112 15.474876 process N 0 \n", + "2 52.4112 15.474876 process N 0 \n", + "3 52.4112 15.474876 process N 0 \n", + "4 52.4112 15.474876 process N 0 \n", + "5 52.4112 15.474876 process N 0 \n", + "6 52.4112 15.474876 process N 0 \n", + "7 52.4112 15.474876 process N 0 \n", + "8 52.4112 15.474876 process N 0 \n", + "9 52.4112 15.474876 process N 0 \n", + "10 52.4112 15.474876 process N 0 \n", + "11 52.4112 15.474876 process N 0 \n", "\n", "[12 rows x 33 columns]" ]