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wlaminack
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Nonlinearltestingdataset

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test · 1M rows

A float64 0 1	B float64 0 1	C float64 0 1	D float64 0 1	E float64 0 1	X float64 0 3.28
0.60493	0.494911	0.208963	0.49914	0.178938	0.443115
0.409474	0.048832	0.963408	0.399328	0.039862	1.270036
0.027106	0.611182	0.623538	0.122234	0.935242	1.781479
0.876104	0.79136	0.98381	0.087378	0.239233	1.872344
0.053816	0.14615	0.889565	0.89944	0.195095	1.867523
0.17905	0.541745	0.562213	0.328736	0.153612	0.509277
0.189223	0.875117	0.412614	0.600325	0.339825	0.921733
0.328353	0.257052	0.113173	0.828842	0.874724	1.044999
0.156248	0.214762	0.814473	0.274701	0.155691	1.178304
0.26763	0.360715	0.573894	0.149002	0.786083	1.316924
0.436363	0.963539	0.137809	0.825142	0.281648	1.567739
0.90232	0.976764	0.501177	0.141149	0.628463	2.039639
0.653651	0.837688	0.66172	0.977846	0.903265	1.226637
0.11935	0.230814	0.524576	0.003996	0.656741	1.591317
0.098977	0.435986	0.062745	0.704912	0.937859	1.732476
0.148701	0.905768	0.007127	0.777833	0.824762	2.316476
0.770155	0.688848	0.704522	0.062177	0.827058	1.164304
0.455456	0.012432	0.830594	0.065545	0.989853	2.447864
0.408461	0.442222	0.795003	0.106356	0.909785	1.419442
0.951198	0.208521	0.369399	0.247319	0.772199	1.44553
0.15612	0.422584	0.491936	0.064564	0.961786	1.869151
0.693879	0.039323	0.709158	0.219066	0.400416	1.473197
0.166164	0.025174	0.181392	0.128096	0.862035	2.071299
0.773873	0.724629	0.024309	0.33593	0.320426	1.143216
0.360879	0.995962	0.211298	0.670455	0.130695	1.186822
0.922502	0.46527	0.68955	0.733253	0.225558	0.827954
0.180117	0.135525	0.438461	0.707838	0.543237	0.847032
0.373473	0.132297	0.009266	0.45057	0.553049	1.182374
0.763388	0.1665	0.302304	0.087219	0.669511	1.458194
0.134193	0.00306	0.191151	0.633385	0.968535	2.140841
0.685135	0.171441	0.575441	0.373933	0.379364	0.813942
0.323213	0.843178	0.212779	0.716054	0.255983	1.035237
0.796524	0.573808	0.876204	0.478394	0.156212	0.8299
0.394506	0.321693	0.216002	0.901407	0.866632	0.980336
0.739966	0.69175	0.499148	0.511976	0.092904	0.296463
0.21683	0.455398	0.758709	0.142832	0.81352	1.145423
0.011008	0.045906	0.32726	0.715645	0.819519	2.014957
0.690155	0.587175	0.238923	0.613998	0.923671	1.284166
0.609196	0.512014	0.238896	0.487567	0.412448	0.319683
0.418409	0.575002	0.213728	0.396417	0.39551	0.695375
0.166233	0.240437	0.920634	0.205567	0.157834	1.364701
0.216496	0.06613	0.277652	0.431581	0.359837	1.123459
0.38275	0.685914	0.959983	0.510089	0.248235	0.872464
0.30513	0.35386	0.669793	0.341503	0.07125	0.404398
0.21056	0.155069	0.626428	0.443959	0.932368	1.59224
0.489983	0.023999	0.264016	0.770067	0.297145	1.060097
0.806814	0.070636	0.524701	0.314802	0.922762	1.720007
0.4256	0.775383	0.094575	0.078209	0.681586	1.810124
0.716136	0.530809	0.028729	0.697176	0.81194	1.492912
0.27247	0.326739	0.840791	0.801394	0.293807	0.946981
0.606181	0.870683	0.363375	0.8868	0.132883	1.007766
0.845801	0.233456	0.691577	0.876472	0.778074	1.331796
0.229648	0.21937	0.815877	0.927739	0.896252	1.311472
0.040836	0.424893	0.529314	0.439642	0.860993	1.427669
0.289413	0.394561	0.898677	0.118793	0.149972	1.147644
0.989377	0.490379	0.060605	0.185244	0.554269	1.544947
0.254529	0.773629	0.878573	0.063818	0.239941	1.361301
0.220207	0.41093	0.242004	0.078577	0.207635	1.177888
0.110473	0.250814	0.110244	0.096303	0.848986	2.127688
0.093837	0.757457	0.682222	0.235398	0.990558	1.966916
0.515925	0.005385	0.714772	0.202301	0.86671	1.320991
0.867526	0.768669	0.808279	0.209716	0.677744	1.50721
0.466866	0.169561	0.507987	0.392273	0.892564	0.449159
0.736484	0.291519	0.378136	0.150246	0.381518	1.015276
0.261233	0.177152	0.079483	0.281539	0.145422	1.137119
0.061378	0.752138	0.72855	0.094092	0.254185	1.512842
0.317062	0.158013	0.399403	0.044795	0.511755	1.588696
0.203649	0.154451	0.497311	0.123576	0.540898	1.303296
0.892829	0.013531	0.317093	0.12005	0.869901	1.839068
0.306062	0.013558	0.565768	0.182194	0.91223	1.333876
0.233591	0.130977	0.556128	0.415074	0.180836	0.712143
0.986582	0.938909	0.202645	0.705247	0.24933	1.619682
0.024087	0.462487	0.841548	0.3152	0.118055	1.221962
0.269896	0.710431	0.208619	0.924173	0.577179	1.512819
0.152479	0.183585	0.787411	0.120483	0.026532	1.321911
0.515815	0.874279	0.276577	0.64299	0.502503	0.95266
0.831879	0.760756	0.048674	0.570221	0.48724	1.537045
0.201002	0.317392	0.50819	0.107229	0.537265	0.851425
0.671592	0.609904	0.409629	0.840752	0.491809	0.799465
0.188489	0.307651	0.98235	0.164253	0.572506	1.780607
0.774874	0.585366	0.0532	0.142955	0.633315	1.47158
0.543752	0.815321	0.796928	0.920441	0.797447	1.579913
0.391844	0.742932	0.001383	0.777579	0.901258	1.678227
0.137426	0.717134	0.670312	0.87027	0.503786	1.145061
0.403408	0.334789	0.26852	0.404146	0.993939	1.106665
0.573055	0.968301	0.203696	0.796342	0.764322	1.771309
0.176836	0.670015	0.813016	0.557429	0.685469	1.304147
0.012914	0.120117	0.615688	0.691404	0.84274	1.93467
0.499681	0.939398	0.12666	0.865399	0.889043	1.404907
0.752705	0.398154	0.253939	0.047223	0.215906	1.082731
0.851994	0.453575	0.342615	0.416417	0.618983	1.024593
0.313218	0.297062	0.934321	0.289185	0.402879	1.282511
0.068316	0.542731	0.198389	0.297914	0.105954	1.029829
0.92886	0.566998	0.5675	0.556872	0.150876	0.676682
0.812191	0.126834	0.993543	0.620643	0.659427	1.629046
0.187768	0.769015	0.142155	0.082865	0.166367	1.43005
0.212149	0.648262	0.350546	0.30132	0.435845	0.749462
0.409615	0.36055	0.000235	0.295005	0.022222	0.954015
0.042789	0.269884	0.115587	0.976939	0.018473	1.797963
0.011407	0.407949	0.384959	0.355739	0.990908	1.454515

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def basic(array1): x=(array1[0]-.5) y=(array1[1]-.5) z=(array1[2]-.5) t=(array1[3]-.5) r2=xx+yy+zz+tt return 3*np.sin(r2)+np.random.random()*array1[4] f=np.apply_along_axis(basic, 1, a)

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115 MB

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57.4 MB

Number of rows:

1,000,000