diff --git "a/examples/Model use.lynxkite.json" "b/examples/Model use.lynxkite.json" new file mode 100644--- /dev/null +++ "b/examples/Model use.lynxkite.json" @@ -0,0 +1,3297 @@ +{ + "edges": [ + { + "id": "Import Parquet 1 Train/test split 1", + "source": "Import Parquet 1", + "sourceHandle": "output", + "target": "Train/test split 1", + "targetHandle": "bundle" + }, + { + "id": "Train/test split 1 Define model 1", + "source": "Train/test split 1", + "sourceHandle": "output", + "target": "Define model 1", + "targetHandle": "bundle" + }, + { + "id": "Define model 1 Train model 2", + "source": "Define model 1", + "sourceHandle": "output", + "target": "Train model 2", + "targetHandle": "bundle" + }, + { + "id": "Train model 2 Model inference 1", + "source": "Train model 2", + "sourceHandle": "output", + "target": "Model inference 1", + "targetHandle": "bundle" + }, + { + "id": "Train model 2 View loss 1", + "source": "Train model 2", + "sourceHandle": "output", + "target": "View loss 1", + "targetHandle": "bundle" + }, + { + "id": "Model inference 1 View tables 1", + "source": "Model inference 1", + "sourceHandle": "output", + "target": "View tables 1", + "targetHandle": "bundle" + }, + { + "id": "Model inference 1 View vectors 1", + "source": "Model inference 1", + "sourceHandle": "output", + "target": "View vectors 1", + "targetHandle": "bundle" + } + ], + "env": "LynxKite Graph Analytics", + "nodes": [ + { + "_data": { + "__execution_delay": 0.0, + "collapsed": null, + "display": null, + "error": null, + "input_metadata": [ + { + "dataframes": { + "df": { + "columns": [ + "x", + "y" + ] + } + }, + "other": {}, + "relations": [] + } + ], + "meta": { + "inputs": { + "bundle": { + "name": "bundle", + "position": "left", + "type": { + "type": "" + } + } + }, + "name": "Train/test split", + "outputs": { + "output": { + "name": "output", + "position": "right", + "type": { + "type": "None" + } + } + }, + "params": { + "table_name": { + "default": null, + "name": "table_name", + "type": { + "type": "" + } + }, + "test_ratio": { + "default": 0.1, + "name": "test_ratio", + "type": { + "type": "" + } + } + }, + "type": "basic" + }, + "params": { + "table_name": "df", + "test_ratio": 0.1 + }, + "status": "done", + "title": "Train/test split" + }, + "data": { + "__execution_delay": 0.0, + "collapsed": null, + "display": null, + "error": null, + "input_metadata": [ + { + "dataframes": { + "df": { + "columns": [ + "x", + "y" + ] + } + }, + "other": {}, + "relations": [] + } + ], + "meta": { + "inputs": { + "bundle": { + "name": "bundle", + "position": "left", + "type": { + "type": "" + } + } + }, + "name": "Train/test split", + "outputs": { + "output": { + "name": "output", + "position": "right", + "type": { + "type": "None" + } + } + }, + "params": { + "table_name": { + "default": null, + "name": "table_name", + "type": { + "type": "" + } + }, + "test_ratio": { + "default": 0.1, + "name": "test_ratio", + "type": { + "type": "" + } + } + }, + "type": "basic" + }, + "params": { + "table_name": "df", + "test_ratio": 0.1 + }, + "status": "done", + "title": "Train/test split" + }, + "dragHandle": ".bg-primary", + "height": 282.0, + "id": "Train/test split 1", + "position": { + "x": 345.0, + "y": 139.0 + }, + "type": "basic", + "width": 259.0 + }, + { + "_data": { + "__execution_delay": 0.0, + "collapsed": null, + "display": null, + "error": null, + "input_metadata": [], + "meta": { + "inputs": {}, + "name": "Import Parquet", + "outputs": { + "output": { + "name": "output", + "position": "right", + "type": { + "type": "None" + } + } + }, + "params": { + "filename": { + "default": null, + "name": "filename", + "type": { + "type": "" + } + } + }, + "type": "basic" + }, + "params": { + "filename": "uploads/plus-one-dataset.parquet" + }, + "status": "done", + "title": "Import Parquet" + }, + "data": { + "__execution_delay": 0.0, + "collapsed": null, + "display": null, + "error": null, + "input_metadata": [], + "meta": { + "inputs": {}, + "name": "Import Parquet", + "outputs": { + "output": { + "name": "output", + "position": "right", + "type": { + "type": "None" + } + } + }, + "params": { + "filename": { + "default": null, + "name": "filename", + "type": { + "type": "" + } + } + }, + "type": "basic" + }, + "params": { + "filename": "uploads/plus-one-dataset.parquet" + }, + "status": "done", + "title": "Import Parquet" + }, + "dragHandle": ".bg-primary", + "height": 403.0, + "id": "Import Parquet 1", + "position": { + "x": -166.0, + "y": 112.0 + }, + "type": "basic", + "width": 371.0 + }, + { + "_data": { + "__execution_delay": 0.0, + "collapsed": null, + "display": null, + "error": null, + "input_metadata": [ + { + "dataframes": { + "df": { + "columns": [ + "x", + "y" + ] + }, + "df_test": { + "columns": [ + "x", + "y" + ] + }, + "df_train": { + "columns": [ + "x", + "y" + ] + } + }, + "other": {}, + "relations": [] + } + ], + "meta": { + "inputs": { + "bundle": { + "name": "bundle", + "position": "left", + "type": { + "type": "" + } + } + }, + "name": "Define model", + "outputs": { + "output": { + "name": "output", + "position": "right", + "type": { + "type": "None" + } + } + }, + "params": { + "model_workspace": { + "default": null, + "name": "model_workspace", + "type": { + "type": "" + } + }, + "save_as": { + "default": "model", + "name": "save_as", + "type": { + "type": "" + } + } + }, + "type": "basic" + }, + "params": { + "model_workspace": "Model definition", + "save_as": "model" + }, + "status": "done", + "title": "Define model" + }, + "data": { + "__execution_delay": 0.0, + "collapsed": null, + "display": null, + "error": null, + "input_metadata": [ + { + "dataframes": { + "df": { + "columns": [ + "x", + "y" + ] + }, + "df_test": { + "columns": [ + "index", + "x", + "y" + ] + }, + "df_train": { + "columns": [ + "index", + "x", + "y" + ] + } + }, + "other": {}, + "relations": [] + } + ], + "meta": { + "inputs": { + "bundle": { + "name": "bundle", + "position": "left", + "type": { + "type": "" + } + } + }, + "name": "Define model", + "outputs": { + "output": { + "name": "output", + "position": "right", + "type": { + "type": "None" + } + } + }, + "params": { + "model_workspace": { + "default": null, + "name": "model_workspace", + "type": { + "type": "" + } + }, + "save_as": { + "default": "model", + "name": "save_as", + "type": { + "type": "" + } + } + }, + "type": "basic" + }, + "params": { + "model_workspace": "Model definition", + "save_as": "model" + }, + "status": "done", + "title": "Define model" + }, + "dragHandle": ".bg-primary", + "height": 537.0, + "id": "Define model 1", + "position": { + "x": 795.0, + "y": -45.0 + }, + "type": "basic", + "width": 498.0 + }, + { + "_data": { + "__execution_delay": 0.0, + "collapsed": null, + "display": null, + "error": null, + "input_metadata": [ + { + "dataframes": { + "df": { + "columns": [ + "x", + "y" + ] + }, + "df_test": { + "columns": [ + "x", + "y" + ] + }, + "df_train": { + "columns": [ + "x", + "y" + ] + } + }, + "other": { + "model": { + "model": { + "inputs": [ + "Input__tensor_1_output" + ], + "loss_inputs": [ + "Output_1_x", + "Input__tensor_3_output" + ], + "outputs": [ + "Output_1_x" + ], + "trained": false + }, + "type": "model" + } + }, + "relations": [] + } + ], + "meta": { + "inputs": { + "bundle": { + "name": "bundle", + "position": "left", + "type": { + "type": "" + } + } + }, + "name": "Train model", + "outputs": { + "output": { + "name": "output", + "position": "right", + "type": { + "type": "None" + } + } + }, + "params": { + "epochs": { + "default": 1.0, + "name": "epochs", + "type": { + "type": "" + } + }, + "input_mapping": { + "default": null, + "name": "input_mapping", + "type": { + "type": "" + } + }, + "model_name": { + "default": "model", + "name": "model_name", + "type": { + "type": "" + } + } + }, + "type": "basic" + }, + "params": { + "epochs": "501", + "input_mapping": "{\"map\":{\"Input__tensor_1_output\":{\"df\":\"df_train\",\"column\":\"x\"},\"Input__tensor_3_output\":{\"df\":\"df_train\",\"column\":\"y\"}}}", + "model_name": "model" + }, + "status": "done", + "title": "Train model" + }, + "data": { + "__execution_delay": 0.0, + "collapsed": null, + "display": null, + "error": null, + "input_metadata": [ + { + "dataframes": { + "df": { + "columns": [ + "x", + "y" + ] + }, + "df_test": { + "columns": [ + "index", + "x", + "y" + ] + }, + "df_train": { + "columns": [ + "index", + "x", + "y" + ] + } + }, + "other": { + "model": { + "model": { + "inputs": [ + "Input__tensor_1_output" + ], + "loss_inputs": [ + "Input__tensor_3_output", + "Output_1_x" + ], + "outputs": [ + "Output_1_x" + ], + "trained": false + }, + "type": "model" + } + }, + "relations": [] + } + ], + "meta": { + "inputs": { + "bundle": { + "name": "bundle", + "position": "left", + "type": { + "type": "" + } + } + }, + "name": "Train model", + "outputs": { + "output": { + "name": "output", + "position": "right", + "type": { + "type": "None" + } + } + }, + "params": { + "epochs": { + "default": 1.0, + "name": "epochs", + "type": { + "type": "" + } + }, + "input_mapping": { + "default": null, + "name": "input_mapping", + "type": { + "type": "" + } + }, + "model_name": { + "default": "model", + "name": "model_name", + "type": { + "type": "" + } + } + }, + "type": "basic" + }, + "params": { + "epochs": "151", + "input_mapping": "{\"map\":{\"Input__tensor_1_output\":{\"df\":\"df_train\",\"column\":\"x\"},\"Input__tensor_3_output\":{\"df\":\"df_train\",\"column\":\"y\"}}}", + "model_name": "model" + }, + "status": "done", + "title": "Train model" + }, + "dragHandle": ".bg-primary", + "height": 604.0, + "id": "Train model 2", + "position": { + "x": 1399.5245787239226, + "y": -19.196202428593544 + }, + "type": "basic", + "width": 586.0 + }, + { + "_data": { + "__execution_delay": 0.0, + "collapsed": null, + "display": null, + "error": null, + "input_metadata": [ + { + "dataframes": { + "df": { + "columns": [ + "x", + "y" + ] + }, + "df_test": { + "columns": [ + "x", + "y" + ] + }, + "df_train": { + "columns": [ + "x", + "y" + ] + }, + "training": { + "columns": [ + "training_loss" + ] + } + }, + "other": { + "model": { + "model": { + "inputs": [ + "Input__tensor_1_output" + ], + "loss_inputs": [ + "Output_1_x", + "Input__tensor_3_output" + ], + "outputs": [ + "Output_1_x" + ], + "trained": true + }, + "type": "model" + } + }, + "relations": [] + } + ], + "meta": { + "inputs": { + "bundle": { + "name": "bundle", + "position": "left", + "type": { + "type": "" + } + } + }, + "name": "Model inference", + "outputs": { + "output": { + "name": "output", + "position": "right", + "type": { + "type": "None" + } + } + }, + "params": { + "input_mapping": { + "default": null, + "name": "input_mapping", + "type": { + "type": "" + } + }, + "model_name": { + "default": "model", + "name": "model_name", + "type": { + "type": "" + } + }, + "output_mapping": { + "default": null, + "name": "output_mapping", + "type": { + "type": "" + } + } + }, + "type": "basic" + }, + "params": { + "input_mapping": "{\"map\":{\"Input__tensor_1_output\":{\"df\":\"df_test\",\"column\":\"x\"}}}", + "model_name": "model", + "output_mapping": "{\"map\":{\"Output_1_x\":{\"df\":\"df_test\",\"column\":\"pred\"}}}" + }, + "status": "done", + "title": "Model inference" + }, + "data": { + "__execution_delay": 0.0, + "collapsed": null, + "display": null, + "error": null, + "input_metadata": [ + { + "dataframes": { + "df": { + "columns": [ + "x", + "y" + ] + }, + "df_test": { + "columns": [ + "index", + "x", + "y" + ] + }, + "df_train": { + "columns": [ + "index", + "x", + "y" + ] + }, + "training": { + "columns": [ + "training_loss" + ] + } + }, + "other": { + "model": { + "model": { + "inputs": [ + "Input__tensor_1_output" + ], + "loss_inputs": [ + "Input__tensor_3_output", + "Output_1_x" + ], + "outputs": [ + "Output_1_x" + ], + "trained": true + }, + "type": "model" + } + }, + "relations": [] + } + ], + "meta": { + "inputs": { + "bundle": { + "name": "bundle", + "position": "left", + "type": { + "type": "" + } + } + }, + "name": "Model inference", + "outputs": { + "output": { + "name": "output", + "position": "right", + "type": { + "type": "None" + } + } + }, + "params": { + "input_mapping": { + "default": null, + "name": "input_mapping", + "type": { + "type": "" + } + }, + "model_name": { + "default": "model", + "name": "model_name", + "type": { + "type": "" + } + }, + "output_mapping": { + "default": null, + "name": "output_mapping", + "type": { + "type": "" + } + } + }, + "type": "basic" + }, + "params": { + "input_mapping": "{\"map\":{\"Input__tensor_1_output\":{\"df\":\"df_test\",\"column\":\"x\"}}}", + "model_name": "model", + "output_mapping": "{\"map\":{\"Output_1_x\":{\"df\":\"df_test\",\"column\":\"pred\"}}}" + }, + "status": "done", + "title": "Model inference" + }, + "dragHandle": ".bg-primary", + "height": 650.0, + "id": "Model inference 1", + "position": { + "x": 2181.718373860645, + "y": -69.44701793295484 + }, + "type": "basic", + "width": 529.0 + }, + { + "_data": { + "__execution_delay": null, + "collapsed": false, + "display": { + "series": [ + { + "data": [ + 5.194248676300049, + 4.732226848602295, + 4.301504611968994, + 3.9289824962615967, + 3.6416826248168945, + 3.4493889808654785, + 3.339247703552246, + 3.2848846912384033, + 3.2611656188964844, + 3.251643180847168, + 3.2479231357574463, + 3.2463886737823486, + 3.245635986328125, + 3.245159149169922, + 3.2447798252105713, + 3.2444353103637695, + 3.2441060543060303, + 3.2437832355499268, + 3.243464469909668, + 3.243149518966675, + 3.2428362369537354, + 3.242525339126587, + 3.2422165870666504, + 3.241910457611084, + 3.2416069507598877, + 3.2413055896759033, + 3.2410058975219727, + 3.240708112716675, + 3.2404117584228516, + 3.2401177883148193, + 3.239825487136841, + 3.239534616470337, + 3.239245653152466, + 3.2389581203460693, + 3.238672971725464, + 3.238389015197754, + 3.2381069660186768, + 3.237826108932495, + 3.2375471591949463, + 3.237269878387451, + 3.2369940280914307, + 3.236720085144043, + 3.2364470958709717, + 3.236175775527954, + 3.2359063625335693, + 3.2356388568878174, + 3.235372304916382, + 3.235107183456421, + 3.2348432540893555, + 3.234581232070923, + 3.2343204021453857, + 3.2340610027313232, + 3.233802556991577, + 3.233546257019043, + 3.233290910720825, + 3.233036518096924, + 3.2327840328216553, + 3.2325327396392822, + 3.232283115386963, + 3.232034921646118, + 3.2317872047424316, + 3.2315409183502197, + 3.2312965393066406, + 3.231052875518799, + 3.2308101654052734, + 3.2305691242218018, + 3.2303292751312256, + 3.230090379714966, + 3.2298526763916016, + 3.2296159267425537, + 3.2293803691864014, + 3.2291462421417236, + 3.228912591934204, + 3.2286808490753174, + 3.228449821472168, + 3.228219985961914, + 3.2279903888702393, + 3.2277631759643555, + 3.22753643989563, + 3.2273104190826416, + 3.2270853519439697, + 3.2268614768981934, + 3.226637363433838, + 3.2264153957366943, + 3.2261929512023926, + 3.2259714603424072, + 3.2257511615753174, + 3.2255313396453857, + 3.2253129482269287, + 3.225095272064209, + 3.224879264831543, + 3.224663734436035, + 3.2244486808776855, + 3.2242350578308105, + 3.224022388458252, + 3.223810911178589, + 3.223599672317505, + 3.2233896255493164, + 3.2231807708740234, + 3.2229726314544678, + 3.222764730453491, + 3.2225584983825684, + 3.2223527431488037, + 3.2221477031707764, + 3.2219433784484863, + 3.2217350006103516, + 3.2210605144500732, + 3.2179861068725586, + 3.1490979194641113, + 2.5611555576324463, + 2.1667709350585938, + 1.941397786140442, + 1.8211313486099243, + 1.7602094411849976, + 1.7300406694412231, + 1.7150671482086182, + 1.707504153251648, + 1.703554630279541, + 1.7013800144195557, + 1.7000809907913208, + 1.6992148160934448, + 1.6985713243484497, + 1.6980407238006592, + 1.6975696086883545, + 1.6971304416656494, + 1.69670832157135, + 1.696295976638794, + 1.6958922147750854, + 1.6954957246780396, + 1.6951044797897339, + 1.6947181224822998, + 1.694334626197815, + 1.6939517259597778, + 1.6935737133026123, + 1.6931995153427124, + 1.6928293704986572, + 1.6924631595611572, + 1.6921008825302124, + 1.6917426586151123, + 1.6913865804672241, + 1.6910340785980225, + 1.690685510635376, + 1.690340518951416, + 1.6899985074996948, + 1.689659595489502, + 1.6893242597579956, + 1.6889920234680176, + 1.6886632442474365, + 1.688332438468933, + 1.6879974603652954, + 1.6876615285873413, + 1.687328815460205, + 1.6869547367095947, + 1.6862459182739258, + 1.6816266775131226, + 1.5337661504745483, + 0.8366889357566833, + 0.46365517377853394, + 0.2645129859447479, + 0.16432315111160278, + 0.11595670133829117, + 0.09297489374876022, + 0.08202926814556122, + 0.07672866433858871, + 0.07407510280609131, + 0.07266353815793991, + 0.07183551043272018, + 0.07128453254699707, + 0.07086450606584549, + 0.07050899416208267, + 0.0701858326792717, + 0.06987988203763962, + 0.0695839673280716, + 0.06929467618465424, + 0.06901033222675323, + 0.0687265694141388, + 0.0684463381767273, + 0.06816895306110382, + 0.06789495050907135, + 0.0676238089799881, + 0.06735056638717651, + 0.06708052009344101, + 0.06681209057569504, + 0.06654231995344162, + 0.06627301871776581, + 0.06600192189216614, + 0.06573258340358734, + 0.06545879691839218, + 0.06518517434597015, + 0.06490959227085114, + 0.06463567167520523, + 0.0643647089600563, + 0.06409519165754318, + 0.06382837891578674, + 0.06356203556060791, + 0.06330081075429916, + 0.06304193288087845, + 0.06278356909751892, + 0.06252720952033997, + 0.06227334961295128, + 0.06202361360192299, + 0.0617777444422245, + 0.06153156980872154, + 0.061283886432647705, + 0.061029158532619476, + 0.06077418848872185, + 0.060523588210344315, + 0.06027815118432045, + 0.06003476679325104, + 0.059792377054691315, + 0.059549830853939056, + 0.05930154025554657, + 0.05905551835894585, + 0.05881192907691002, + 0.0585709884762764, + 0.05833115428686142, + 0.05809348449110985, + 0.0578579381108284, + 0.05762450024485588, + 0.05739405006170273, + 0.05716623365879059, + 0.056934017688035965, + 0.05670491233468056, + 0.05647972598671913, + 0.05625642091035843, + 0.05603497847914696, + 0.05581538379192352, + 0.05559813603758812, + 0.05538330227136612, + 0.055170174688100815, + 0.054959800094366074, + 0.05475304275751114, + 0.054547909647226334, + 0.05434436723589897, + 0.05414241552352905, + 0.053942013531923294, + 0.053743164986371994, + 0.05354584753513336, + 0.05335003510117531, + 0.05315623804926872, + 0.05296580120921135, + 0.052776746451854706, + 0.052589051425457, + 0.05240271985530853, + 0.05221769958734512, + 0.05203401669859886, + 0.05185163766145706, + 0.05167055502533913, + 0.05149075761437416, + 0.05131221190094948, + 0.051134925335645676, + 0.05095922574400902, + 0.05078546702861786, + 0.05061294883489609, + 0.05044237896800041, + 0.050274644047021866, + 0.05010804161429405, + 0.04994256794452667, + 0.049778200685977936, + 0.04961492121219635, + 0.049452755600214005, + 0.04929284378886223, + 0.04913467913866043, + 0.04897753894329071, + 0.04882141575217247, + 0.04866630584001541, + 0.04851251095533371, + 0.04836169257760048, + 0.04821375384926796, + 0.04806669428944588, + 0.04792052507400513, + 0.04777522012591362, + 0.04763077199459076, + 0.04748716205358505, + 0.047344379127025604, + 0.04720241203904152, + 0.04706142097711563, + 0.04692186415195465, + 0.04678306728601456, + 0.04664503037929535, + 0.04650787264108658, + 0.04637163504958153, + 0.046236440539360046, + 0.04610292613506317, + 0.04597007483243942, + 0.045837946236133575, + 0.04570755362510681, + 0.04557782784104347, + 0.04544825479388237, + 0.0453183650970459, + 0.045189570635557175, + 0.04506213217973709, + 0.04493529349565506, + 0.044809043407440186, + 0.044683389365673065, + 0.04455830156803131, + 0.04443386197090149, + 0.04431009292602539, + 0.04418685659766197, + 0.04406414180994034, + 0.043941959738731384, + 0.043820276856422424, + 0.04369909688830376, + 0.043578337877988815, + 0.04345747083425522, + 0.04333708435297012, + 0.04321715980768204, + 0.04309769719839096, + 0.0429786778986454, + 0.04286010563373566, + 0.04274197295308113, + 0.042624276131391525, + 0.042507000267505646, + 0.04239014536142349, + 0.04227370768785477, + 0.042157672345638275, + 0.042042046785354614, + 0.04192682355642319, + 0.0418119840323925, + 0.041697535663843155, + 0.04158347100019455, + 0.04146978259086609, + 0.041356466710567474, + 0.041243527084589005, + 0.041130952537059784, + 0.04101872816681862, + 0.040906865149736404, + 0.04079534858465195, + 0.04068418964743614, + 0.0405733622610569, + 0.040462885051965714, + 0.04035273939371109, + 0.04024292156100273, + 0.040133725851774216, + 0.040025271475315094, + 0.03991713374853134, + 0.03980930522084236, + 0.039701659232378006, + 0.039593927562236786, + 0.039486486464738846, + 0.03937936946749687, + 0.039272651076316833, + 0.039166223257780075, + 0.039060063660144806, + 0.038954153656959534, + 0.0388483963906765, + 0.038742903620004654, + 0.0386376827955246, + 0.03853272274136543, + 0.03842802718281746, + 0.03832358866930008, + 0.03821941092610359, + 0.0381154865026474, + 0.038011811673641205, + 0.0379084013402462, + 0.037805236876010895, + 0.03770232945680618, + 0.03759966045618057, + 0.037497248500585556, + 0.03739452734589577, + 0.03729122132062912, + 0.03718816488981247, + 0.03708536550402641, + 0.03698281571269035, + 0.03688051551580429, + 0.036778464913368225, + 0.03667666018009186, + 0.03657510131597519, + 0.03647379204630852, + 0.036372724920511246, + 0.03627190366387367, + 0.036171332001686096, + 0.036071084439754486, + 0.03597136586904526, + 0.03587188571691513, + 0.03577264025807381, + 0.035673633217811584, + 0.03557485342025757, + 0.03547630459070206, + 0.03537798300385475, + 0.035279903560876846, + 0.035182058811187744, + 0.03508443757891655, + 0.03498705103993416, + 0.034889888018369675, + 0.034792978316545486, + 0.03469628840684891, + 0.03459983691573143, + 0.034503620117902756, + 0.034407634288072586, + 0.03431188315153122, + 0.034216366708278656, + 0.0341210775077343, + 0.03402603417634964, + 0.033931225538253784, + 0.03383665531873703, + 0.03374231979250908, + 0.03364821895956993, + 0.033554356545209885, + 0.03346073254942894, + 0.03336735814809799, + 0.033274225890636444, + 0.0331813283264637, + 0.03308868035674095, + 0.03299626335501671, + 0.03290409594774246, + 0.032812174409627914, + 0.032720498740673065, + 0.032629065215587616, + 0.03253787383437157, + 0.03244693577289581, + 0.03235623985528946, + 0.032265804708004, + 0.03217560797929764, + 0.03208566829562187, + 0.03199596703052521, + 0.03190653398633003, + 0.031817350536584854, + 0.031728409230709076, + 0.03163974732160568, + 0.03155132010579109, + 0.03146316111087799, + 0.03137525916099548, + 0.03128761053085327, + 0.031200233846902847, + 0.03111310862004757, + 0.031026242300868034, + 0.030939649790525436, + 0.030853310599923134, + 0.030767245218157768, + 0.030681440606713295, + 0.03059590980410576, + 0.030510643497109413, + 0.03042564168572426, + 0.030340921133756638, + 0.03025646135210991, + 0.030172280967235565, + 0.03008836880326271, + 0.030004747211933136, + 0.029921378940343857, + 0.029838303104043007, + 0.029755493625998497, + 0.029672972857952118, + 0.029590733349323273, + 0.029508762061595917, + 0.029427088797092438, + 0.029345687478780746, + 0.029264571145176888, + 0.02918374352157116, + 0.029103199020028114, + 0.02902294509112835, + 0.028942979872226715, + 0.028863299638032913, + 0.02878391183912754, + 0.02870481088757515, + 0.028626007959246635, + 0.028547491878271103, + 0.028469275683164597, + 0.02839135006070137, + 0.02831372618675232, + 0.02823638916015625, + 0.028159350156784058, + 0.02808261476457119, + 0.0280061773955822, + 0.027930041775107384, + 0.027854204177856445, + 0.027778668329119682, + 0.027703437954187393, + 0.02762851119041443, + 0.02755388431251049, + 0.027479562908411026, + 0.027405548840761185, + 0.027331842109560966, + 0.027258435264229774, + 0.02718534506857395, + 0.027112558484077454, + 0.02704007923603058, + 0.026967914775013924, + 0.026896055787801743, + 0.02682451158761978, + 0.026753274723887444, + 0.026682356372475624, + 0.02661174349486828, + 0.0265414509922266, + 0.026471465826034546, + 0.02640179730951786, + 0.026332441717386246, + 0.0262634065002203, + 0.026194684207439423, + 0.026126278564333916, + 0.02605818584561348, + 0.025990411639213562, + 0.025922955945134163, + 0.025855818763375282, + 0.02578899636864662, + 0.025722496211528778, + 0.025656312704086304, + 0.02559044398367405, + 0.02552489936351776, + 0.02545967325568199, + 0.02539476379752159 + ], + "type": "line" + } + ], + "title": { + "text": "Training loss" + }, + "xAxis": { + "type": "category" + }, + "yAxis": { + "type": "value" + } + }, + "error": null, + "input_metadata": [ + { + "dataframes": { + "df": { + "columns": [ + "x", + "y" + ] + }, + "df_test": { + "columns": [ + "x", + "y" + ] + }, + "df_train": { + "columns": [ + "x", + "y" + ] + }, + "training": { + "columns": [ + "training_loss" + ] + } + }, + "other": { + "model": { + "model": { + "inputs": [ + "Input__tensor_1_output" + ], + "loss_inputs": [ + "Output_1_x", + "Input__tensor_3_output" + ], + "outputs": [ + "Output_1_x" + ], + "trained": true + }, + "type": "model" + } + }, + "relations": [] + } + ], + "meta": { + "inputs": { + "bundle": { + "name": "bundle", + "position": "left", + "type": { + "type": "" + } + } + }, + "name": "View loss", + "outputs": {}, + "params": {}, + "type": "visualization" + }, + "params": {}, + "status": "done", + "title": "View loss" + }, + "data": { + "__execution_delay": null, + "collapsed": false, + "display": { + "series": [ + { + "data": [ + 6.014081001281738, + 5.580916404724121, + 5.274184226989746, + 5.0237603187561035, + 4.804426670074463, + 4.605026721954346, + 4.419903755187988, + 4.246149063110352, + 4.082696914672852, + 3.9301321506500244, + 3.7902746200561523, + 3.6642696857452393, + 3.5418264865875244, + 3.3390703201293945, + 2.8697218894958496, + 2.3933401107788086, + 2.047636032104492, + 1.83914053440094, + 1.7334750890731812, + 1.6865350008010864, + 1.666785478591919, + 1.658176302909851, + 1.6540385484695435, + 1.651779055595398, + 1.650368094444275, + 1.6493637561798096, + 1.6485661268234253, + 1.6478790044784546, + 1.6472536325454712, + 1.6466654539108276, + 1.6461007595062256, + 1.6455528736114502, + 1.6450183391571045, + 1.6444944143295288, + 1.643980622291565, + 1.6434764862060547, + 1.6429831981658936, + 1.6424978971481323, + 1.64202082157135, + 1.6415510177612305, + 1.6410887241363525, + 1.6406346559524536, + 1.6401888132095337, + 1.639750361442566, + 1.6393187046051025, + 1.6388964653015137, + 1.6384804248809814, + 1.638070821762085, + 1.6376668214797974, + 1.6372689008712769, + 1.6368769407272339, + 1.6364902257919312, + 1.636109471321106, + 1.6357333660125732, + 1.6353627443313599, + 1.6349972486495972, + 1.6346369981765747, + 1.6342813968658447, + 1.6339303255081177, + 1.6335841417312622, + 1.6332424879074097, + 1.6329057216644287, + 1.6325738430023193, + 1.6322462558746338, + 1.6319226026535034, + 1.6316030025482178, + 1.6312874555587769, + 1.6309759616851807, + 1.6306681632995605, + 1.630364179611206, + 1.6300634145736694, + 1.629766821861267, + 1.629473328590393, + 1.6291834115982056, + 1.628896713256836, + 1.6286135911941528, + 1.628333568572998, + 1.628056526184082, + 1.6277827024459839, + 1.6275124549865723, + 1.6272450685501099, + 1.6269807815551758, + 1.6267189979553223, + 1.626460075378418, + 1.6262041330337524, + 1.625950813293457, + 1.6256998777389526, + 1.625451683998108, + 1.6252059936523438, + 1.6249629259109497, + 1.6247217655181885, + 1.6244832277297974, + 1.6242470741271973, + 1.6240129470825195, + 1.6237813234329224, + 1.6235517263412476, + 1.6233243942260742, + 1.6230992078781128, + 1.6228758096694946, + 1.622654676437378, + 1.6224353313446045, + 1.6220967769622803, + 1.6087429523468018, + 1.1195111274719238, + 0.6312010288238525, + 0.35807740688323975, + 0.21476756036281586, + 0.14402888715267181, + 0.11020153015851974, + 0.09413749724626541, + 0.08644001930952072, + 0.08266805112361908, + 0.08074231445789337, + 0.07968885451555252, + 0.07904941588640213, + 0.0786079540848732, + 0.0782623365521431, + 0.07796423882246017, + 0.07769070565700531, + 0.0774308443069458, + 0.0771794393658638, + 0.07693397998809814, + 0.07669319212436676, + 0.07645650207996368, + 0.07622353732585907, + 0.07599412649869919, + 0.0757681354880333, + 0.07554544508457184, + 0.07532599568367004, + 0.07510971277952194, + 0.07489652186632156, + 0.07468635588884354, + 0.07447917759418488, + 0.07427489757537842, + 0.07407346367835999, + 0.073874831199646, + 0.07367893308401108, + 0.07348571717739105, + 0.07329512387514114, + 0.07310713827610016, + 0.07292166352272034, + 0.07273866981267929, + 0.07255809754133224, + 0.072379931807518, + 0.07220420241355896, + 0.07203087955713272, + 0.07185979187488556, + 0.07169090956449509, + 0.07152417302131653, + 0.0713595449924469, + 0.07119700312614441 + ], + "type": "line" + } + ], + "title": { + "text": "Training loss" + }, + "xAxis": { + "type": "category" + }, + "yAxis": { + "type": "value" + } + }, + "error": null, + "input_metadata": [ + { + "dataframes": { + "df": { + "columns": [ + "x", + "y" + ] + }, + "df_test": { + "columns": [ + "index", + "x", + "y" + ] + }, + "df_train": { + "columns": [ + "index", + "x", + "y" + ] + }, + "training": { + "columns": [ + "training_loss" + ] + } + }, + "other": { + "model": { + "model": { + "inputs": [ + "Input__tensor_1_output" + ], + "loss_inputs": [ + "Input__tensor_3_output", + "Output_1_x" + ], + "outputs": [ + "Output_1_x" + ], + "trained": true + }, + "type": "model" + } + }, + "relations": [] + } + ], + "meta": { + "inputs": { + "bundle": { + "name": "bundle", + "position": "left", + "type": { + "type": "" + } + } + }, + "name": "View loss", + "outputs": {}, + "params": {}, + "type": "visualization" + }, + "params": {}, + "status": "done", + "title": "View loss" + }, + "dragHandle": ".bg-primary", + "height": 417.0, + "id": "View loss 1", + "position": { + "x": 2052.643815443704, + "y": 617.6466886696832 + }, + "type": "visualization", + "width": 721.0 + }, + { + "data": { + "__execution_delay": null, + "collapsed": null, + "display": { + "dataframes": { + "df": { + "columns": [ + "x", + "y" + ], + "data": [ + [ + "[0.52046251 0.45887971 0.72169858 0.29517919]", + "[1.52046251 1.45887971 1.72169852 1.29517913]" + ], + [ + "[0.85706753 0.61447072 0.41741937 0.85147089]", + "[1.85706758 1.61447072 1.41741943 1.85147095]" + ], + [ + "[0.11560339 0.57495481 0.76535827 0.0391947 ]", + "[1.11560345 1.57495475 1.76535821 1.0391947 ]" + ], + [ + "[0.19409031 0.68692201 0.60667384 0.57829887]", + "[1.19409037 1.68692207 1.60667384 1.57829881]" + ], + [ + "[0.76807946 0.98855817 0.08259124 0.01730657]", + "[1.76807952 1.98855817 1.0825913 1.01730657]" + ], + [ + "[0.67269951 0.10478973 0.5584439 0.83605725]", + "[1.67269945 1.10478973 1.5584439 1.83605719]" + ], + [ + "[0.18686318 0.49356437 0.51323432 0.75392658]", + "[1.18686318 1.49356437 1.51323438 1.75392652]" + ], + [ + "[0.18149549 0.30520517 0.30946714 0.16786289]", + "[1.18149543 1.30520511 1.30946708 1.16786289]" + ], + [ + "[4.27091718e-01 4.89909172e-01 6.92297399e-01 2.57611275e-04]", + "[1.42709172 1.48990917 1.69229746 1.00025761]" + ], + [ + "[0.32225502 0.16999388 0.05823922 0.9628762 ]", + "[1.32225502 1.16999388 1.05823922 1.9628762 ]" + ], + [ + "[0.50783676 0.04156506 0.21984279 0.8454656 ]", + "[1.50783682 1.04156506 1.21984279 1.84546566]" + ], + [ + "[0.98324287 0.99464184 0.14008355 0.47651017]", + "[1.98324287 1.99464178 1.14008355 1.47651017]" + ], + [ + "[0.11693293 0.49860179 0.55020827 0.88832849]", + "[1.11693287 1.49860179 1.55020833 1.88832855]" + ], + [ + "[0.48959708 0.48549271 0.32688856 0.356677 ]", + "[1.48959708 1.48549271 1.32688856 1.35667706]" + ], + [ + "[0.50272274 0.54912758 0.17663097 0.79070699]", + "[1.50272274 1.54912758 1.17663097 1.79070699]" + ], + [ + "[0.04508126 0.76880038 0.80721325 0.62542385]", + "[1.04508126 1.76880038 1.80721331 1.62542391]" + ], + [ + "[0.19908059 0.17570406 0.51475513 0.1893943 ]", + "[1.19908059 1.175704 1.51475513 1.18939424]" + ], + [ + "[0.40167677 0.25953674 0.9407078 0.76308483]", + "[1.40167677 1.25953674 1.9407078 1.76308489]" + ], + [ + "[0.2480728 0.21694398 0.63941365 0.57128876]", + "[1.24807286 1.21694398 1.6394136 1.57128882]" + ], + [ + "[0.24388778 0.07268471 0.68350857 0.73431659]", + "[1.24388778 1.07268476 1.68350863 1.73431659]" + ], + [ + "[0.62569475 0.9881897 0.83639616 0.9828859 ]", + "[1.62569475 1.9881897 1.83639622 1.98288584]" + ], + [ + "[0.56922203 0.98222166 0.76851749 0.28615737]", + "[1.56922197 1.9822216 1.76851749 1.28615737]" + ], + [ + "[0.88776821 0.51636773 0.30333066 0.32230979]", + "[1.88776827 1.51636767 1.30333066 1.32230973]" + ], + [ + "[0.90817457 0.89270043 0.38583666 0.66566533]", + "[1.90817451 1.89270043 1.3858366 1.66566539]" + ], + [ + "[0.48507756 0.80808765 0.77162558 0.47834778]", + "[1.48507762 1.80808759 1.77162552 1.47834778]" + ], + [ + "[0.68062544 0.98093534 0.14778823 0.53244978]", + "[1.68062544 1.98093534 1.14778829 1.53244972]" + ], + [ + "[0.31518555 0.49643308 0.11509258 0.95458382]", + "[1.31518555 1.49643302 1.11509252 1.95458388]" + ], + [ + "[0.79121011 0.54161114 0.69369799 0.1520769 ]", + "[1.79121017 1.54161119 1.69369793 1.15207696]" + ], + [ + "[0.79423058 0.07138705 0.061777 0.18766576]", + "[1.79423058 1.07138705 1.061777 1.1876657 ]" + ], + [ + "[0.23942459 0.90487361 0.69337189 0.65089428]", + "[1.23942459 1.90487361 1.69337189 1.65089428]" + ], + [ + "[0.94516498 0.08422136 0.5608117 0.07652664]", + "[1.94516492 1.08422136 1.56081176 1.07652664]" + ], + [ + "[0.26661873 0.45946234 0.13510543 0.81294441]", + "[1.26661873 1.4594624 1.13510537 1.81294441]" + ], + [ + "[0.30754459 0.77694583 0.09278506 0.38326019]", + "[1.30754459 1.77694583 1.09278512 1.38326025]" + ], + [ + "[0.27845025 0.32472342 0.82203609 0.77107543]", + "[1.27845025 1.32472348 1.82203603 1.77107549]" + ], + [ + "[0.4827103 0.10563457 0.98858833 0.82286644]", + "[1.48271036 1.10563457 1.98858833 1.82286644]" + ], + [ + "[0.98033333 0.97656083 0.38939917 0.81491041]", + "[1.98033333 1.97656083 1.38939917 1.81491041]" + ], + [ + "[0.74064726 0.4155122 0.09800029 0.49930882]", + "[1.74064732 1.4155122 1.09800029 1.49930882]" + ], + [ + "[0.78956431 0.87284744 0.06880784 0.03455889]", + "[1.78956437 1.87284744 1.06880784 1.03455889]" + ], + [ + "[0.94221359 0.57740951 0.98649532 0.40934443]", + "[1.94221354 1.57740951 1.98649526 1.40934443]" + ], + [ + "[0.00497234 0.39319336 0.57054168 0.75150961]", + "[1.00497234 1.39319336 1.57054162 1.75150967]" + ], + [ + "[0.44330525 0.09997386 0.89025736 0.90507984]", + "[1.44330525 1.09997392 1.89025736 1.90507984]" + ], + [ + "[0.72290605 0.96945059 0.68354797 0.15270454]", + "[1.72290611 1.96945059 1.68354797 1.15270448]" + ], + [ + "[0.75292218 0.81470108 0.49657214 0.56217098]", + "[1.75292218 1.81470108 1.49657214 1.56217098]" + ], + [ + "[0.33480108 0.59181517 0.76198453 0.98062384]", + "[1.33480108 1.59181523 1.76198459 1.98062384]" + ], + [ + "[0.52784437 0.54268694 0.12358981 0.72116476]", + "[1.52784443 1.54268694 1.12358975 1.7211647 ]" + ], + [ + "[0.73217702 0.65233225 0.44077861 0.33837909]", + "[1.73217702 1.65233231 1.44077861 1.33837914]" + ], + [ + "[0.34084332 0.73018837 0.54168713 0.91440833]", + "[1.34084332 1.73018837 1.54168713 1.91440833]" + ], + [ + "[0.60110539 0.3618983 0.32342511 0.98672163]", + "[1.60110545 1.3618983 1.32342505 1.98672163]" + ], + [ + "[0.77427191 0.21829212 0.12769502 0.74303615]", + "[1.77427197 1.21829212 1.12769508 1.74303615]" + ], + [ + "[0.08107251 0.2602725 0.18861133 0.44833237]", + "[1.08107257 1.2602725 1.18861127 1.44833231]" + ], + [ + "[0.59812403 0.78395379 0.0291847 0.81814629]", + "[1.59812403 1.78395379 1.0291847 1.81814623]" + ], + [ + "[0.93488538 0.73882395 0.37345302 0.0274905 ]", + "[1.93488538 1.73882389 1.37345302 1.0274905 ]" + ], + [ + "[0.30631393 0.48311198 0.87847513 0.67559886]", + "[1.30631399 1.48311198 1.87847519 1.67559886]" + ], + [ + "[0.18720162 0.74115586 0.98626411 0.30355608]", + "[1.18720162 1.74115586 1.98626411 1.30355608]" + ], + [ + "[0.85566247 0.83362883 0.48424995 0.25265992]", + "[1.85566247 1.83362889 1.48424995 1.25265992]" + ], + [ + "[0.95928186 0.84273899 0.71514636 0.38619852]", + "[1.95928192 1.84273899 1.7151463 1.38619852]" + ], + [ + "[0.32565445 0.90939188 0.07488042 0.13730896]", + "[1.32565451 1.90939188 1.07488036 1.13730896]" + ], + [ + "[0.9829582 0.59269661 0.40120947 0.95487177]", + "[1.9829582 1.59269667 1.40120947 1.95487177]" + ], + [ + "[0.79905868 0.89367443 0.75429088 0.3190186 ]", + "[1.79905868 1.89367437 1.75429082 1.3190186 ]" + ], + [ + "[0.54914117 0.03810108 0.87531954 0.73044223]", + "[1.54914117 1.03810108 1.87531948 1.73044229]" + ], + [ + "[0.67418337 0.79634351 0.23229051 0.71345252]", + "[1.67418337 1.79634356 1.23229051 1.71345258]" + ], + [ + "[0.87285906 0.48354989 0.39394957 0.59456545]", + "[1.872859 1.48354983 1.39394951 1.59456539]" + ], + [ + "[0.81788456 0.58174163 0.29376316 0.7971254 ]", + "[1.81788456 1.58174157 1.29376316 1.79712534]" + ], + [ + "[0.94559073 0.65736622 0.25761551 0.48553199]", + "[1.94559073 1.65736628 1.25761557 1.48553205]" + ], + [ + "[0.60075855 0.12234765 0.00614399 0.30560958]", + "[1.60075855 1.12234759 1.00614405 1.30560958]" + ], + [ + "[0.39147133 0.29854035 0.84663737 0.58175623]", + "[1.39147139 1.29854035 1.84663737 1.58175623]" + ], + [ + "[0.02162331 0.81861657 0.92468154 0.07808572]", + "[1.02162337 1.81861663 1.92468154 1.07808566]" + ], + [ + "[0.02235305 0.52774918 0.7331115 0.84358269]", + "[1.02235305 1.52774918 1.7331115 1.84358263]" + ], + [ + "[0.6080932 0.56563014 0.32107437 0.72599429]", + "[1.60809326 1.5656302 1.32107437 1.72599435]" + ], + [ + "[0.67447788 0.6125319 0.98007888 0.65968603]", + "[1.67447782 1.6125319 1.98007894 1.65968609]" + ], + [ + "[0.47963417 0.81818312 0.48720706 0.49339259]", + "[1.47963417 1.81818318 1.48720706 1.49339259]" + ], + [ + "[0.9630242 0.76359051 0.24853623 0.76881069]", + "[1.96302414 1.76359057 1.24853623 1.76881075]" + ], + [ + "[0.60609657 0.96257663 0.19292736 0.95702219]", + "[1.60609651 1.96257663 1.19292736 1.95702219]" + ], + [ + "[0.80654246 0.08253473 0.74478531 0.71257162]", + "[1.8065424 1.08253479 1.74478531 1.71257162]" + ], + [ + "[0.70167565 0.26930219 0.5660674 0.61194974]", + "[1.70167565 1.26930213 1.56606746 1.61194968]" + ], + [ + "[0.76933283 0.86241865 0.44114518 0.65644735]", + "[1.76933289 1.86241865 1.44114518 1.65644741]" + ], + [ + "[0.59492421 0.90274489 0.38069052 0.46101224]", + "[1.59492421 1.90274489 1.38069057 1.46101224]" + ], + [ + "[0.15064228 0.03198934 0.25754827 0.51484001]", + "[1.15064228 1.03198934 1.25754833 1.51484001]" + ], + [ + "[0.12024075 0.21342516 0.56858408 0.58644271]", + "[1.12024069 1.21342516 1.56858408 1.58644271]" + ], + [ + "[0.91730917 0.22574073 0.09591609 0.33056474]", + "[1.91730917 1.22574067 1.09591603 1.33056474]" + ], + [ + "[0.49691743 0.61873293 0.90698647 0.94486356]", + "[1.49691749 1.61873293 1.90698647 1.94486356]" + ], + [ + "[0.6032477 0.83361369 0.18538666 0.19108021]", + "[1.60324764 1.83361363 1.18538666 1.19108021]" + ], + [ + "[0.63235509 0.70352674 0.96188956 0.46240485]", + "[1.63235509 1.70352674 1.96188951 1.46240485]" + ], + [ + "[0.37959969 0.42820001 0.10690689 0.96353984]", + "[1.37959969 1.42820001 1.10690689 1.96353984]" + ], + [ + "[0.49607176 0.1922397 0.46640229 0.78321403]", + "[1.49607182 1.19223976 1.46640229 1.78321409]" + ], + [ + "[0.40234613 0.54987347 0.49542785 0.54153186]", + "[1.40234613 1.54987347 1.49542785 1.5415318 ]" + ], + [ + "[0.80893755 0.92237449 0.88346356 0.93164903]", + "[1.80893755 1.92237449 1.88346362 1.93164897]" + ], + [ + "[0.12858278 0.09930819 0.83222693 0.72485673]", + "[1.12858272 1.09930825 1.83222699 1.72485673]" + ], + [ + "[0.72470158 0.4940322 0.41027349 0.89364016]", + "[1.72470164 1.49403214 1.41027355 1.89364016]" + ], + [ + "[0.47856545 0.46267092 0.6376707 0.84747767]", + "[1.47856545 1.46267092 1.63767076 1.84747767]" + ], + [ + "[0.49584109 0.80599248 0.07096875 0.75872749]", + "[1.49584103 1.80599248 1.07096875 1.75872755]" + ], + [ + "[0.43500566 0.66041756 0.80293626 0.96224713]", + "[1.43500566 1.66041756 1.80293632 1.96224713]" + ], + [ + "[0.78397602 0.74223626 0.26603186 0.41664881]", + "[1.78397608 1.74223626 1.26603186 1.41664886]" + ], + [ + "[0.28942841 0.05601001 0.33039129 0.27781558]", + "[1.28942847 1.05601001 1.33039129 1.27781558]" + ], + [ + "[0.68094063 0.45189077 0.22661722 0.37354094]", + "[1.68094063 1.45189071 1.22661722 1.37354088]" + ], + [ + "[0.43681622 0.74680805 0.83598751 0.12414402]", + "[1.43681622 1.74680805 1.83598757 1.12414408]" + ], + [ + "[0.47870928 0.17129105 0.27300501 0.20634609]", + "[1.47870922 1.17129111 1.27300501 1.20634604]" + ], + [ + "[0.72795159 0.79317838 0.27832931 0.96576637]", + "[1.72795153 1.79317832 1.27832937 1.96576643]" + ], + [ + "[0.87608397 0.93200487 0.80169648 0.37758952]", + "[1.87608397 1.93200493 1.80169654 1.37758946]" + ], + [ + "[0.68891573 0.25576538 0.96339929 0.503833 ]", + "[1.68891573 1.25576544 1.96339929 1.50383306]" + ] + ] + }, + "df_test": { + "columns": [ + "index", + "x", + "y", + "pred" + ], + "data": [ + [ + 4, + "[0.76807946 0.98855817 0.08259124 0.01730657]", + "[1.76807952 1.98855817 1.0825913 1.01730657]", + "[2.398310661315918, 2.482480764389038, 2.3205058574676514, 2.4670262336730957]" + ], + [ + 99, + "[0.68891573 0.25576538 0.96339929 0.503833 ]", + "[1.68891573 1.25576544 1.96339929 1.50383306]", + "[2.6001150608062744, 2.58300518989563, 2.5226938724517822, 2.607975959777832]" + ], + [ + 26, + "[0.31518555 0.49643308 0.11509258 0.95458382]", + "[1.31518555 1.49643302 1.11509252 1.95458388]", + "[2.460686445236206, 2.5214929580688477, 2.4216299057006836, 2.554131507873535]" + ], + [ + 40, + "[0.44330525 0.09997386 0.89025736 0.90507984]", + "[1.44330525 1.09997392 1.89025736 1.90507984]", + "[2.5939838886260986, 2.5837721824645996, 2.534832715988159, 2.6243085861206055]" + ], + [ + 44, + "[0.52784437 0.54268694 0.12358981 0.72116476]", + "[1.52784443 1.54268694 1.12358975 1.7211647 ]", + "[2.467513084411621, 2.5237104892730713, 2.4233744144439697, 2.5531327724456787]" + ], + [ + 8, + "[4.27091718e-01 4.89909172e-01 6.92297399e-01 2.57611275e-04]", + "[1.42709172 1.48990917 1.69229746 1.00025761]", + "[2.1933858394622803, 2.382107734680176, 2.1187074184417725, 2.328011989593506]" + ], + [ + 42, + "[0.75292218 0.81470108 0.49657214 0.56217098]", + "[1.75292218 1.81470108 1.49657214 1.56217098]", + "[2.7627859115600586, 2.660106658935547, 2.6692981719970703, 2.703057289123535]" + ], + [ + 62, + "[0.81788456 0.58174163 0.29376316 0.7971254 ]", + "[1.81788456 1.58174157 1.29376316 1.79712534]", + "[2.7435245513916016, 2.656848907470703, 2.682042360305786, 2.725670099258423]" + ], + [ + 15, + "[0.04508126 0.76880038 0.80721325 0.62542385]", + "[1.04508126 1.76880038 1.80721331 1.62542391]", + "[2.5160605907440186, 2.536039352416992, 2.410257339477539, 2.5175909996032715]" + ], + [ + 66, + "[0.02162331 0.81861657 0.92468154 0.07808572]", + "[1.02162337 1.81861663 1.92468154 1.07808566]", + "[2.2642712593078613, 2.4094104766845703, 2.148714065551758, 2.3313822746276855]" + ] + ] + }, + "df_train": { + "columns": [ + "index", + "x", + "y" + ], + "data": [ + [ + 10, + "[0.50783676 0.04156506 0.21984279 0.8454656 ]", + "[1.50783682 1.04156506 1.21984279 1.84546566]" + ], + [ + 11, + "[0.98324287 0.99464184 0.14008355 0.47651017]", + "[1.98324287 1.99464178 1.14008355 1.47651017]" + ], + [ + 12, + "[0.11693293 0.49860179 0.55020827 0.88832849]", + "[1.11693287 1.49860179 1.55020833 1.88832855]" + ], + [ + 13, + "[0.48959708 0.48549271 0.32688856 0.356677 ]", + "[1.48959708 1.48549271 1.32688856 1.35667706]" + ], + [ + 14, + "[0.50272274 0.54912758 0.17663097 0.79070699]", + "[1.50272274 1.54912758 1.17663097 1.79070699]" + ], + [ + 15, + "[0.04508126 0.76880038 0.80721325 0.62542385]", + "[1.04508126 1.76880038 1.80721331 1.62542391]" + ], + [ + 16, + "[0.19908059 0.17570406 0.51475513 0.1893943 ]", + "[1.19908059 1.175704 1.51475513 1.18939424]" + ], + [ + 17, + "[0.40167677 0.25953674 0.9407078 0.76308483]", + "[1.40167677 1.25953674 1.9407078 1.76308489]" + ], + [ + 18, + "[0.2480728 0.21694398 0.63941365 0.57128876]", + "[1.24807286 1.21694398 1.6394136 1.57128882]" + ], + [ + 19, + "[0.24388778 0.07268471 0.68350857 0.73431659]", + "[1.24388778 1.07268476 1.68350863 1.73431659]" + ], + [ + 20, + "[0.62569475 0.9881897 0.83639616 0.9828859 ]", + "[1.62569475 1.9881897 1.83639622 1.98288584]" + ], + [ + 21, + "[0.56922203 0.98222166 0.76851749 0.28615737]", + "[1.56922197 1.9822216 1.76851749 1.28615737]" + ], + [ + 22, + "[0.88776821 0.51636773 0.30333066 0.32230979]", + "[1.88776827 1.51636767 1.30333066 1.32230973]" + ], + [ + 23, + "[0.90817457 0.89270043 0.38583666 0.66566533]", + "[1.90817451 1.89270043 1.3858366 1.66566539]" + ], + [ + 24, + "[0.48507756 0.80808765 0.77162558 0.47834778]", + "[1.48507762 1.80808759 1.77162552 1.47834778]" + ], + [ + 25, + "[0.68062544 0.98093534 0.14778823 0.53244978]", + "[1.68062544 1.98093534 1.14778829 1.53244972]" + ], + [ + 26, + "[0.31518555 0.49643308 0.11509258 0.95458382]", + "[1.31518555 1.49643302 1.11509252 1.95458388]" + ], + [ + 27, + "[0.79121011 0.54161114 0.69369799 0.1520769 ]", + "[1.79121017 1.54161119 1.69369793 1.15207696]" + ], + [ + 28, + "[0.79423058 0.07138705 0.061777 0.18766576]", + "[1.79423058 1.07138705 1.061777 1.1876657 ]" + ], + [ + 29, + "[0.23942459 0.90487361 0.69337189 0.65089428]", + "[1.23942459 1.90487361 1.69337189 1.65089428]" + ], + [ + 30, + "[0.94516498 0.08422136 0.5608117 0.07652664]", + "[1.94516492 1.08422136 1.56081176 1.07652664]" + ], + [ + 31, + "[0.26661873 0.45946234 0.13510543 0.81294441]", + "[1.26661873 1.4594624 1.13510537 1.81294441]" + ], + [ + 32, + "[0.30754459 0.77694583 0.09278506 0.38326019]", + "[1.30754459 1.77694583 1.09278512 1.38326025]" + ], + [ + 33, + "[0.27845025 0.32472342 0.82203609 0.77107543]", + "[1.27845025 1.32472348 1.82203603 1.77107549]" + ], + [ + 34, + "[0.4827103 0.10563457 0.98858833 0.82286644]", + "[1.48271036 1.10563457 1.98858833 1.82286644]" + ], + [ + 35, + "[0.98033333 0.97656083 0.38939917 0.81491041]", + "[1.98033333 1.97656083 1.38939917 1.81491041]" + ], + [ + 36, + "[0.74064726 0.4155122 0.09800029 0.49930882]", + "[1.74064732 1.4155122 1.09800029 1.49930882]" + ], + [ + 37, + "[0.78956431 0.87284744 0.06880784 0.03455889]", + "[1.78956437 1.87284744 1.06880784 1.03455889]" + ], + [ + 38, + "[0.94221359 0.57740951 0.98649532 0.40934443]", + "[1.94221354 1.57740951 1.98649526 1.40934443]" + ], + [ + 39, + "[0.00497234 0.39319336 0.57054168 0.75150961]", + "[1.00497234 1.39319336 1.57054162 1.75150967]" + ], + [ + 40, + "[0.44330525 0.09997386 0.89025736 0.90507984]", + "[1.44330525 1.09997392 1.89025736 1.90507984]" + ], + [ + 41, + "[0.72290605 0.96945059 0.68354797 0.15270454]", + "[1.72290611 1.96945059 1.68354797 1.15270448]" + ], + [ + 42, + "[0.75292218 0.81470108 0.49657214 0.56217098]", + "[1.75292218 1.81470108 1.49657214 1.56217098]" + ], + [ + 43, + "[0.33480108 0.59181517 0.76198453 0.98062384]", + "[1.33480108 1.59181523 1.76198459 1.98062384]" + ], + [ + 44, + "[0.52784437 0.54268694 0.12358981 0.72116476]", + "[1.52784443 1.54268694 1.12358975 1.7211647 ]" + ], + [ + 45, + "[0.73217702 0.65233225 0.44077861 0.33837909]", + "[1.73217702 1.65233231 1.44077861 1.33837914]" + ], + [ + 46, + "[0.34084332 0.73018837 0.54168713 0.91440833]", + "[1.34084332 1.73018837 1.54168713 1.91440833]" + ], + [ + 47, + "[0.60110539 0.3618983 0.32342511 0.98672163]", + "[1.60110545 1.3618983 1.32342505 1.98672163]" + ], + [ + 48, + "[0.77427191 0.21829212 0.12769502 0.74303615]", + "[1.77427197 1.21829212 1.12769508 1.74303615]" + ], + [ + 49, + "[0.08107251 0.2602725 0.18861133 0.44833237]", + "[1.08107257 1.2602725 1.18861127 1.44833231]" + ], + [ + 50, + "[0.59812403 0.78395379 0.0291847 0.81814629]", + "[1.59812403 1.78395379 1.0291847 1.81814623]" + ], + [ + 51, + "[0.93488538 0.73882395 0.37345302 0.0274905 ]", + "[1.93488538 1.73882389 1.37345302 1.0274905 ]" + ], + [ + 52, + "[0.30631393 0.48311198 0.87847513 0.67559886]", + "[1.30631399 1.48311198 1.87847519 1.67559886]" + ], + [ + 53, + "[0.18720162 0.74115586 0.98626411 0.30355608]", + "[1.18720162 1.74115586 1.98626411 1.30355608]" + ], + [ + 54, + "[0.85566247 0.83362883 0.48424995 0.25265992]", + "[1.85566247 1.83362889 1.48424995 1.25265992]" + ], + [ + 55, + "[0.95928186 0.84273899 0.71514636 0.38619852]", + "[1.95928192 1.84273899 1.7151463 1.38619852]" + ], + [ + 56, + "[0.32565445 0.90939188 0.07488042 0.13730896]", + "[1.32565451 1.90939188 1.07488036 1.13730896]" + ], + [ + 57, + "[0.9829582 0.59269661 0.40120947 0.95487177]", + "[1.9829582 1.59269667 1.40120947 1.95487177]" + ], + [ + 58, + "[0.79905868 0.89367443 0.75429088 0.3190186 ]", + "[1.79905868 1.89367437 1.75429082 1.3190186 ]" + ], + [ + 59, + "[0.54914117 0.03810108 0.87531954 0.73044223]", + "[1.54914117 1.03810108 1.87531948 1.73044229]" + ], + [ + 60, + "[0.67418337 0.79634351 0.23229051 0.71345252]", + "[1.67418337 1.79634356 1.23229051 1.71345258]" + ], + [ + 61, + "[0.87285906 0.48354989 0.39394957 0.59456545]", + "[1.872859 1.48354983 1.39394951 1.59456539]" + ], + [ + 62, + "[0.81788456 0.58174163 0.29376316 0.7971254 ]", + "[1.81788456 1.58174157 1.29376316 1.79712534]" + ], + [ + 63, + "[0.94559073 0.65736622 0.25761551 0.48553199]", + "[1.94559073 1.65736628 1.25761557 1.48553205]" + ], + [ + 64, + "[0.60075855 0.12234765 0.00614399 0.30560958]", + "[1.60075855 1.12234759 1.00614405 1.30560958]" + ], + [ + 65, + "[0.39147133 0.29854035 0.84663737 0.58175623]", + "[1.39147139 1.29854035 1.84663737 1.58175623]" + ], + [ + 66, + "[0.02162331 0.81861657 0.92468154 0.07808572]", + "[1.02162337 1.81861663 1.92468154 1.07808566]" + ], + [ + 67, + "[0.02235305 0.52774918 0.7331115 0.84358269]", + "[1.02235305 1.52774918 1.7331115 1.84358263]" + ], + [ + 68, + "[0.6080932 0.56563014 0.32107437 0.72599429]", + "[1.60809326 1.5656302 1.32107437 1.72599435]" + ], + [ + 69, + "[0.67447788 0.6125319 0.98007888 0.65968603]", + "[1.67447782 1.6125319 1.98007894 1.65968609]" + ], + [ + 70, + "[0.47963417 0.81818312 0.48720706 0.49339259]", + "[1.47963417 1.81818318 1.48720706 1.49339259]" + ], + [ + 71, + "[0.9630242 0.76359051 0.24853623 0.76881069]", + "[1.96302414 1.76359057 1.24853623 1.76881075]" + ], + [ + 72, + "[0.60609657 0.96257663 0.19292736 0.95702219]", + "[1.60609651 1.96257663 1.19292736 1.95702219]" + ], + [ + 73, + "[0.80654246 0.08253473 0.74478531 0.71257162]", + "[1.8065424 1.08253479 1.74478531 1.71257162]" + ], + [ + 74, + "[0.70167565 0.26930219 0.5660674 0.61194974]", + "[1.70167565 1.26930213 1.56606746 1.61194968]" + ], + [ + 75, + "[0.76933283 0.86241865 0.44114518 0.65644735]", + "[1.76933289 1.86241865 1.44114518 1.65644741]" + ], + [ + 76, + "[0.59492421 0.90274489 0.38069052 0.46101224]", + "[1.59492421 1.90274489 1.38069057 1.46101224]" + ], + [ + 77, + "[0.15064228 0.03198934 0.25754827 0.51484001]", + "[1.15064228 1.03198934 1.25754833 1.51484001]" + ], + [ + 78, + "[0.12024075 0.21342516 0.56858408 0.58644271]", + "[1.12024069 1.21342516 1.56858408 1.58644271]" + ], + [ + 79, + "[0.91730917 0.22574073 0.09591609 0.33056474]", + "[1.91730917 1.22574067 1.09591603 1.33056474]" + ], + [ + 80, + "[0.49691743 0.61873293 0.90698647 0.94486356]", + "[1.49691749 1.61873293 1.90698647 1.94486356]" + ], + [ + 81, + "[0.6032477 0.83361369 0.18538666 0.19108021]", + "[1.60324764 1.83361363 1.18538666 1.19108021]" + ], + [ + 82, + "[0.63235509 0.70352674 0.96188956 0.46240485]", + "[1.63235509 1.70352674 1.96188951 1.46240485]" + ], + [ + 83, + "[0.37959969 0.42820001 0.10690689 0.96353984]", + "[1.37959969 1.42820001 1.10690689 1.96353984]" + ], + [ + 84, + "[0.49607176 0.1922397 0.46640229 0.78321403]", + "[1.49607182 1.19223976 1.46640229 1.78321409]" + ], + [ + 85, + "[0.40234613 0.54987347 0.49542785 0.54153186]", + "[1.40234613 1.54987347 1.49542785 1.5415318 ]" + ], + [ + 86, + "[0.80893755 0.92237449 0.88346356 0.93164903]", + "[1.80893755 1.92237449 1.88346362 1.93164897]" + ], + [ + 87, + "[0.12858278 0.09930819 0.83222693 0.72485673]", + "[1.12858272 1.09930825 1.83222699 1.72485673]" + ], + [ + 88, + "[0.72470158 0.4940322 0.41027349 0.89364016]", + "[1.72470164 1.49403214 1.41027355 1.89364016]" + ], + [ + 89, + "[0.47856545 0.46267092 0.6376707 0.84747767]", + "[1.47856545 1.46267092 1.63767076 1.84747767]" + ], + [ + 90, + "[0.49584109 0.80599248 0.07096875 0.75872749]", + "[1.49584103 1.80599248 1.07096875 1.75872755]" + ], + [ + 91, + "[0.43500566 0.66041756 0.80293626 0.96224713]", + "[1.43500566 1.66041756 1.80293632 1.96224713]" + ], + [ + 92, + "[0.78397602 0.74223626 0.26603186 0.41664881]", + "[1.78397608 1.74223626 1.26603186 1.41664886]" + ], + [ + 93, + "[0.28942841 0.05601001 0.33039129 0.27781558]", + "[1.28942847 1.05601001 1.33039129 1.27781558]" + ], + [ + 94, + "[0.68094063 0.45189077 0.22661722 0.37354094]", + "[1.68094063 1.45189071 1.22661722 1.37354088]" + ], + [ + 95, + "[0.43681622 0.74680805 0.83598751 0.12414402]", + "[1.43681622 1.74680805 1.83598757 1.12414408]" + ], + [ + 96, + "[0.47870928 0.17129105 0.27300501 0.20634609]", + "[1.47870922 1.17129111 1.27300501 1.20634604]" + ], + [ + 97, + "[0.72795159 0.79317838 0.27832931 0.96576637]", + "[1.72795153 1.79317832 1.27832937 1.96576643]" + ], + [ + 98, + "[0.87608397 0.93200487 0.80169648 0.37758952]", + "[1.87608397 1.93200493 1.80169654 1.37758946]" + ], + [ + 99, + "[0.68891573 0.25576538 0.96339929 0.503833 ]", + "[1.68891573 1.25576544 1.96339929 1.50383306]" + ] + ] + }, + "training": { + "columns": [ + "training_loss" + ], + "data": [ + [ + 6.014081001281738 + ], + [ + 5.580916404724121 + ], + [ + 5.274184226989746 + ], + [ + 5.0237603187561035 + ], + [ + 4.804426670074463 + ], + [ + 4.605026721954346 + ], + [ + 4.419903755187988 + ], + [ + 4.246149063110352 + ], + [ + 4.082696914672852 + ], + [ + 3.9301321506500244 + ], + [ + 3.7902746200561523 + ], + [ + 3.6642696857452393 + ], + [ + 3.5418264865875244 + ], + [ + 3.3390703201293945 + ], + [ + 2.8697218894958496 + ], + [ + 2.3933401107788086 + ], + [ + 2.047636032104492 + ], + [ + 1.83914053440094 + ], + [ + 1.7334750890731812 + ], + [ + 1.6865350008010864 + ], + [ + 1.666785478591919 + ], + [ + 1.658176302909851 + ], + [ + 1.6540385484695435 + ], + [ + 1.651779055595398 + ], + [ + 1.650368094444275 + ], + [ + 1.6493637561798096 + ], + [ + 1.6485661268234253 + ], + [ + 1.6478790044784546 + ], + [ + 1.6472536325454712 + ], + [ + 1.6466654539108276 + ], + [ + 1.6461007595062256 + ], + [ + 1.6455528736114502 + ], + [ + 1.6450183391571045 + ], + [ + 1.6444944143295288 + ], + [ + 1.643980622291565 + ], + [ + 1.6434764862060547 + ], + [ + 1.6429831981658936 + ], + [ + 1.6424978971481323 + ], + [ + 1.64202082157135 + ], + [ + 1.6415510177612305 + ], + [ + 1.6410887241363525 + ], + [ + 1.6406346559524536 + ], + [ + 1.6401888132095337 + ], + [ + 1.639750361442566 + ], + [ + 1.6393187046051025 + ], + [ + 1.6388964653015137 + ], + [ + 1.6384804248809814 + ], + [ + 1.638070821762085 + ], + [ + 1.6376668214797974 + ], + [ + 1.6372689008712769 + ], + [ + 1.6368769407272339 + ], + [ + 1.6364902257919312 + ], + [ + 1.636109471321106 + ], + [ + 1.6357333660125732 + ], + [ + 1.6353627443313599 + ], + [ + 1.6349972486495972 + ], + [ + 1.6346369981765747 + ], + [ + 1.6342813968658447 + ], + [ + 1.6339303255081177 + ], + [ + 1.6335841417312622 + ], + [ + 1.6332424879074097 + ], + [ + 1.6329057216644287 + ], + [ + 1.6325738430023193 + ], + [ + 1.6322462558746338 + ], + [ + 1.6319226026535034 + ], + [ + 1.6316030025482178 + ], + [ + 1.6312874555587769 + ], + [ + 1.6309759616851807 + ], + [ + 1.6306681632995605 + ], + [ + 1.630364179611206 + ], + [ + 1.6300634145736694 + ], + [ + 1.629766821861267 + ], + [ + 1.629473328590393 + ], + [ + 1.6291834115982056 + ], + [ + 1.628896713256836 + ], + [ + 1.6286135911941528 + ], + [ + 1.628333568572998 + ], + [ + 1.628056526184082 + ], + [ + 1.6277827024459839 + ], + [ + 1.6275124549865723 + ], + [ + 1.6272450685501099 + ], + [ + 1.6269807815551758 + ], + [ + 1.6267189979553223 + ], + [ + 1.626460075378418 + ], + [ + 1.6262041330337524 + ], + [ + 1.625950813293457 + ], + [ + 1.6256998777389526 + ], + [ + 1.625451683998108 + ], + [ + 1.6252059936523438 + ], + [ + 1.6249629259109497 + ], + [ + 1.6247217655181885 + ], + [ + 1.6244832277297974 + ], + [ + 1.6242470741271973 + ], + [ + 1.6240129470825195 + ], + [ + 1.6237813234329224 + ], + [ + 1.6235517263412476 + ], + [ + 1.6233243942260742 + ], + [ + 1.6230992078781128 + ], + [ + 1.6228758096694946 + ], + [ + 1.622654676437378 + ] + ] + } + }, + "other": { + "model": "ModelConfig(model=Sequential(\n (0) - Identity(): Input__tensor_1_output -> START_Repeat_1_output\n (1) - Linear(4, 4, bias=True): START_Repeat_1_output -> Linear_1_output\n (2) - : Linear_1_output -> Activation_1_output\n (3) - Identity(): Activation_1_output -> START_Repeat_1_output\n (4) - Linear(4, 4, bias=True): START_Repeat_1_output -> Linear_1_output\n (5) - : Linear_1_output -> Activation_1_output\n (6) - Identity(): Activation_1_output -> END_Repeat_1_output\n (7) - Identity(): END_Repeat_1_output -> Output_1_x\n (8) - Identity(): Output_1_x -> Output_1_x\n), model_inputs=['Input__tensor_1_output'], model_outputs=['Output_1_x'], loss_inputs=['Input__tensor_3_output', 'Output_1_x'], loss=Sequential(\n (0) - . at 0x761ebc727740>: nothing -> Constant_vector_1_output\n (1) - : Input__tensor_3_output, Constant_vector_1_output -> Add_1_output\n (2) - : Output_1_x, Add_1_output -> MSE_loss_2_output\n (3) - Identity(): MSE_loss_2_output -> loss\n), optimizer_parameters={'lr': 0.1, 'type': }, optimizer=SGD (\nParameter Group 0\n dampening: 0\n differentiable: False\n foreach: None\n fused: None\n lr: 0.1\n maximize: False\n momentum: 0\n nesterov: False\n weight_decay: 0\n), source_workspace='Model definition', trained=True)" + }, + "relations": [] + }, + "error": null, + "input_metadata": [ + { + "dataframes": { + "df": { + "columns": [ + "x", + "y" + ] + }, + "df_test": { + "columns": [ + "index", + "pred", + "x", + "y" + ] + }, + "df_train": { + "columns": [ + "index", + "x", + "y" + ] + }, + "training": { + "columns": [ + "training_loss" + ] + } + }, + "other": { + "model": { + "model": { + "inputs": [ + "Input__tensor_1_output" + ], + "loss_inputs": [ + "Input__tensor_3_output", + "Output_1_x" + ], + "outputs": [ + "Output_1_x" + ], + "trained": true + }, + "type": "model" + } + }, + "relations": [] + } + ], + "meta": { + "inputs": { + "bundle": { + "name": "bundle", + "position": "left", + "type": { + "type": "" + } + } + }, + "name": "View tables", + "outputs": {}, + "params": { + "limit": { + "default": 100.0, + "name": "limit", + "type": { + "type": "" + } + } + }, + "type": "table_view" + }, + "params": { + "_tables_open": { + "df_test": true + }, + "limit": 100.0 + }, + "status": "done", + "title": "View tables" + }, + "dragHandle": ".bg-primary", + "height": 636.0, + "id": "View tables 1", + "position": { + "x": 3075.0, + "y": -90.0 + }, + "type": "table_view", + "width": 603.0 + }, + { + "data": { + "__execution_delay": 0.0, + "collapsed": null, + "display": { + "series": [ + { + "data": [ + [ + -1287.0316162109375, + -197.19064331054688, + "", + -10.191871643066406 + ], + [ + 1850.403076171875, + -1934.8701171875, + "", + -10.843463897705078 + ], + [ + -2139.6982421875, + 2140.9306640625, + "", + -9.693496704101562 + ], + [ + -829.4639892578125, + 1453.0125732421875, + "", + -12.964160919189453 + ], + [ + -2034.95068359375, + -2228.56005859375, + "", + -8.494583129882812 + ], + [ + 775.7841796875, + -987.1351318359375, + "", + -7.914520263671875 + ], + [ + -834.7413330078125, + -1010.576904296875, + "", + -11.352218627929688 + ], + [ + 1341.696044921875, + 327.52203369140625, + "", + -12.275350570678711 + ], + [ + 2031.8687744140625, + 1949.9718017578125, + "", + -11.710403442382812 + ], + [ + 506.062255859375, + 1029.9742431640625, + "", + -8.997444152832031 + ] + ], + "symbolSize": 15.811388300841896, + "type": "scatter" + } + ], + "title": { + "text": "UMAP projection of pred" + }, + "tooltip": { + "show": false + }, + "visualMap": { + "calculable": true, + "dimension": 3, + "inRange": { + "color": [ + "#440154", + "#482777", + "#3E4989", + "#31688E", + "#26828E", + "#1F9E89", + "#35B779", + "#6CCE59", + "#B4DE2C", + "#FDE725" + ] + }, + "max": -7.914520263671875, + "min": -12.964160919189453, + "right": 10, + "top": "center" + }, + "xAxis": [ + { + "type": "value" + } + ], + "yAxis": [ + { + "type": "value" + } + ] + }, + "error": null, + "input_metadata": [ + { + "dataframes": { + "df": { + "columns": [ + "x", + "y" + ] + }, + "df_test": { + "columns": [ + "index", + "pred", + "x", + "y" + ] + }, + "df_train": { + "columns": [ + "index", + "x", + "y" + ] + }, + "training": { + "columns": [ + "training_loss" + ] + } + }, + "other": { + "model": { + "model": { + "inputs": [ + "Input__tensor_1_output" + ], + "loss_inputs": [ + "Input__tensor_3_output", + "Output_1_x" + ], + "outputs": [ + "Output_1_x" + ], + "trained": true + }, + "type": "model" + } + }, + "relations": [] + } + ], + "meta": { + "inputs": { + "bundle": { + "name": "bundle", + "position": "left", + "type": { + "type": "" + } + } + }, + "name": "View vectors", + "outputs": {}, + "params": { + "label_column": { + "default": "", + "name": "label_column", + "type": { + "type": "" + } + }, + "table_name": { + "default": "nodes", + "name": "table_name", + "type": { + "type": "" + } + }, + "vector_column": { + "default": "", + "name": "vector_column", + "type": { + "type": "" + } + } + }, + "position": { + "x": 943.0, + "y": 315.0 + }, + "type": "visualization" + }, + "params": { + "label_column": "", + "table_name": "df_test", + "vector_column": "pred" + }, + "status": "done", + "title": "View vectors" + }, + "dragHandle": ".bg-primary", + "height": 668.0, + "id": "View vectors 1", + "position": { + "x": 3091.4609779299844, + "y": 659.497108066971 + }, + "type": "visualization", + "width": 613.0 + } + ] +}