From b829e1165f908b29985f33f0f3d138992175a39d Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Jaime=20C=C3=A9spedes=20Sisniega?= Date: Thu, 11 Jan 2024 13:14:54 +0100 Subject: [PATCH] Reduce num_permutations to 5000 in MNIST example --- .../examples/data_drift/MMD_advance.ipynb | 118 +++++++++--------- 1 file changed, 59 insertions(+), 59 deletions(-) diff --git a/docs/source/examples/data_drift/MMD_advance.ipynb b/docs/source/examples/data_drift/MMD_advance.ipynb index 13ff607..d0411c4 100644 --- a/docs/source/examples/data_drift/MMD_advance.ipynb +++ b/docs/source/examples/data_drift/MMD_advance.ipynb @@ -26,8 +26,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-01-11T11:34:40.011810100Z", - "start_time": "2024-01-11T11:34:36.743290407Z" + "end_time": "2024-01-11T12:11:27.190003539Z", + "start_time": "2024-01-11T12:11:24.486631710Z" } } }, @@ -74,8 +74,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-01-11T11:34:40.021761150Z", - "start_time": "2024-01-11T11:34:40.017200533Z" + "end_time": "2024-01-11T12:11:27.201164801Z", + "start_time": "2024-01-11T12:11:27.194660314Z" } } }, @@ -91,8 +91,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-01-11T11:34:40.030373666Z", - "start_time": "2024-01-11T11:34:40.023382102Z" + "end_time": "2024-01-11T12:11:27.204171132Z", + "start_time": "2024-01-11T12:11:27.200247002Z" } } }, @@ -146,8 +146,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-01-11T11:34:40.146880215Z", - "start_time": "2024-01-11T11:34:40.033384587Z" + "end_time": "2024-01-11T12:11:27.298234991Z", + "start_time": "2024-01-11T12:11:27.207184913Z" } } }, @@ -175,8 +175,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-01-11T11:34:40.149256751Z", - "start_time": "2024-01-11T11:34:40.136218976Z" + "end_time": "2024-01-11T12:11:27.308048934Z", + "start_time": "2024-01-11T12:11:27.303033226Z" } } }, @@ -204,8 +204,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-01-11T11:34:40.578155001Z", - "start_time": "2024-01-11T11:34:40.144087929Z" + "end_time": "2024-01-11T12:11:27.675361304Z", + "start_time": "2024-01-11T12:11:27.308579790Z" } } }, @@ -257,8 +257,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-01-11T11:34:40.580129803Z", - "start_time": "2024-01-11T11:34:40.572139922Z" + "end_time": "2024-01-11T12:11:27.694101545Z", + "start_time": "2024-01-11T12:11:27.678254049Z" } } }, @@ -314,8 +314,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-01-11T11:34:40.585320501Z", - "start_time": "2024-01-11T11:34:40.579512897Z" + "end_time": "2024-01-11T12:11:27.743681357Z", + "start_time": "2024-01-11T12:11:27.696006404Z" } } }, @@ -352,8 +352,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-01-11T11:34:40.595246219Z", - "start_time": "2024-01-11T11:34:40.587466129Z" + "end_time": "2024-01-11T12:11:27.746891182Z", + "start_time": "2024-01-11T12:11:27.707600392Z" } } }, @@ -380,8 +380,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-01-11T11:34:40.670477596Z", - "start_time": "2024-01-11T11:34:40.594708257Z" + "end_time": "2024-01-11T12:11:27.807608813Z", + "start_time": "2024-01-11T12:11:27.712371862Z" } } }, @@ -416,8 +416,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-01-11T11:34:40.683214935Z", - "start_time": "2024-01-11T11:34:40.612777462Z" + "end_time": "2024-01-11T12:11:27.809894840Z", + "start_time": "2024-01-11T12:11:27.722285823Z" } } }, @@ -481,8 +481,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-01-11T11:35:08.689806180Z", - "start_time": "2024-01-11T11:34:40.617111147Z" + "end_time": "2024-01-11T12:11:55.233638387Z", + "start_time": "2024-01-11T12:11:27.730052383Z" } } }, @@ -530,8 +530,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-01-11T11:35:08.937400876Z", - "start_time": "2024-01-11T11:35:08.694194492Z" + "end_time": "2024-01-11T12:11:55.482128863Z", + "start_time": "2024-01-11T12:11:55.240142970Z" } }, "execution_count": 13 @@ -550,8 +550,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-01-11T11:35:09.009553933Z", - "start_time": "2024-01-11T11:35:08.939512067Z" + "end_time": "2024-01-11T12:11:55.520802224Z", + "start_time": "2024-01-11T12:11:55.483331376Z" } } }, @@ -591,8 +591,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-01-11T11:35:09.011334048Z", - "start_time": "2024-01-11T11:35:08.977119334Z" + "end_time": "2024-01-11T12:11:55.522939725Z", + "start_time": "2024-01-11T12:11:55.503427858Z" } } }, @@ -630,8 +630,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-01-11T11:35:09.012693789Z", - "start_time": "2024-01-11T11:35:08.986220052Z" + "end_time": "2024-01-11T12:11:55.525919738Z", + "start_time": "2024-01-11T12:11:55.509350850Z" } } }, @@ -674,8 +674,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-01-11T11:35:10.644510357Z", - "start_time": "2024-01-11T11:35:08.989477587Z" + "end_time": "2024-01-11T12:11:57.175940413Z", + "start_time": "2024-01-11T12:11:55.520734583Z" } } }, @@ -698,7 +698,7 @@ "application/vnd.jupyter.widget-view+json": { "version_major": 2, "version_minor": 0, - "model_id": "822e8d33c1224200b2bff349da39ba27" + "model_id": "f92caa6a42064ed2aeb68b799b84a787" } }, "metadata": {}, @@ -710,7 +710,7 @@ "application/vnd.jupyter.widget-view+json": { "version_major": 2, "version_minor": 0, - "model_id": "0fb7ae765b064003b5b5cefefc76bd20" + "model_id": "6caf77e05cc24d7389fe41970d1799c2" } }, "metadata": {}, @@ -722,7 +722,7 @@ "application/vnd.jupyter.widget-view+json": { "version_major": 2, "version_minor": 0, - "model_id": "63259b9d9c2f489c9873d8ac22c6bd99" + "model_id": "50a6a272d00a4c079b25170931eecbe1" } }, "metadata": {}, @@ -734,7 +734,7 @@ "application/vnd.jupyter.widget-view+json": { "version_major": 2, "version_minor": 0, - "model_id": "b6dd0b5da1364c2e9d833c7cddfcb4c7" + "model_id": "e0d8deb95e3747cbb84988f783c23bdb" } }, "metadata": {}, @@ -755,8 +755,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-01-11T11:35:13.688721713Z", - "start_time": "2024-01-11T11:35:10.656235233Z" + "end_time": "2024-01-11T12:11:59.984605304Z", + "start_time": "2024-01-11T12:11:57.188805864Z" } }, "execution_count": 18 @@ -785,8 +785,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-01-11T11:35:13.691424244Z", - "start_time": "2024-01-11T11:35:13.688434858Z" + "end_time": "2024-01-11T12:11:59.992123319Z", + "start_time": "2024-01-11T12:11:59.984251508Z" } } }, @@ -809,8 +809,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-01-11T11:35:13.694401931Z", - "start_time": "2024-01-11T11:35:13.688956544Z" + "end_time": "2024-01-11T12:12:00.033638391Z", + "start_time": "2024-01-11T12:11:59.990322683Z" } } }, @@ -850,8 +850,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-01-11T11:35:13.699365738Z", - "start_time": "2024-01-11T11:35:13.689263493Z" + "end_time": "2024-01-11T12:12:00.035404497Z", + "start_time": "2024-01-11T12:12:00.031699218Z" } }, "execution_count": 21 @@ -861,7 +861,7 @@ "execution_count": 22, "outputs": [], "source": [ - "num_permutations = 10000\n", + "num_permutations = 5000\n", "\n", "detector = MMD(\n", " kernel=partial(\n", @@ -884,8 +884,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-01-11T11:35:13.749609574Z", - "start_time": "2024-01-11T11:35:13.698900374Z" + "end_time": "2024-01-11T12:12:00.036510155Z", + "start_time": "2024-01-11T12:12:00.032004806Z" } } }, @@ -925,8 +925,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-01-11T11:35:14.007408946Z", - "start_time": "2024-01-11T11:35:13.717524198Z" + "end_time": "2024-01-11T12:12:00.346512585Z", + "start_time": "2024-01-11T12:12:00.032177716Z" } }, "execution_count": 23 @@ -949,11 +949,11 @@ "output_type": "stream", "text": [ "Original (unmodified):\n", - " MMD statistic=0.001, p-value=0.022, drift=False\n", + " MMD statistic=0.001, p-value=0.024, drift=False\n", "Gaussian Blur:\n", - " MMD statistic=0.0055, p-value=0.0001, drift=True\n", + " MMD statistic=0.0055, p-value=0.0002, drift=True\n", "Elastic Transform:\n", - " MMD statistic=0.0026, p-value=0.0002, drift=True\n" + " MMD statistic=0.0026, p-value=0.0004, drift=True\n" ] } ], @@ -975,8 +975,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-01-11T11:39:18.315468870Z", - "start_time": "2024-01-11T11:35:14.010963478Z" + "end_time": "2024-01-11T12:14:00.284504938Z", + "start_time": "2024-01-11T12:12:00.349601932Z" } } }, @@ -998,7 +998,7 @@ { "data": { "text/plain": "
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