Datasets:

wlaminack
/

trainingnonlinear2

A float64 0 1	B float64 0 1	C float64 0 1	D float64 0 1	E float64 0 1	X float64 -7.49 7.49
0.058029	0.477571	0.677031	0.940997	0.653153	-4.126411
0.547299	0.93774	0.675729	0.725388	0.382767	4.187276
0.393399	0.332911	0.25422	0.460885	0.910439	5.918744
0.289645	0.519199	0.768375	0.480927	0.062554	6.002001
0.485609	0.575202	0.717246	0.0885	0.15678	6.176799
0.746037	0.375124	0.746384	0.487843	0.01488	6.541314
0.331139	0.103198	0.146034	0.368273	0.68748	1.43611
0.789687	0.556617	0.170349	0.651884	0.483153	6.44826
0.202188	0.034424	0.5517	0.161436	0.802996	-4.217571
0.732824	0.306009	0.082176	0.74323	0.143974	1.451835
0.639338	0.122874	0.671795	0.702452	0.934277	6.176942
0.726871	0.304369	0.861791	0.161942	0.058008	0.723058
0.789828	0.947614	0.58747	0.467786	0.334684	3.295321
0.540059	0.92894	0.44854	0.30624	0.785153	6.310007
0.157428	0.726681	0.69615	0.050748	0.47323	-3.605901
0.604868	0.032979	0.767956	0.464192	0.296507	2.834997
0.938429	0.207271	0.838651	0.665358	0.928611	-4.074981
0.60581	0.75968	0.827903	0.51381	0.497596	6.958846
0.010663	0.047507	0.784858	0.780398	0.671404	-5.180443
0.113225	0.102183	0.307962	0.735059	0.174417	-3.127418
0.773261	0.775848	0.608048	0.796323	0.588018	5.458899
0.852287	0.804893	0.17697	0.902794	0.111531	-6.825321
0.479602	0.229355	0.439756	0.559797	0.137159	4.338058
0.201113	0.712814	0.234899	0.353051	0.559796	6.249063
0.563547	0.661043	0.171264	0.54973	0.811547	6.980289
0.346335	0.126274	0.04324	0.300301	0.077097	-4.145951
0.839816	0.369683	0.774758	0.123524	0.443994	-0.089056
0.153014	0.802765	0.272803	0.795094	0.67776	0.02255
0.268855	0.332634	0.895367	0.998431	0.109797	-6.77621
0.768203	0.844214	0.569989	0.161003	0.587827	2.475003
0.929013	0.633922	0.006937	0.366153	0.047806	-6.234692
0.796959	0.872334	0.991416	0.189845	0.003876	-6.722537
0.982001	0.922343	0.424699	0.923607	0.913661	-5.252244
0.457834	0.202848	0.257897	0.219608	0.546516	6.264343
0.679215	0.231811	0.346127	0.444567	0.932037	6.744924
0.572786	0.252571	0.59822	0.577826	0.555666	4.724244
0.132217	0.022018	0.366267	0.66307	0.447955	-3.585235
0.664122	0.917737	0.557143	0.484975	0.359412	6.678979
0.942633	0.359445	0.15196	0.115219	0.078451	-6.890164
0.931235	0.781074	0.337447	0.47912	0.366411	3.427017
0.214274	0.795713	0.886534	0.11027	0.131393	-6.553395
0.667929	0.651325	0.184601	0.749402	0.675861	6.61661
0.805966	0.875006	0.769647	0.143733	0.804216	-4.788358
0.639683	0.569364	0.952642	0.301309	0.655635	4.747038
0.881013	0.574814	0.365589	0.774714	0.67261	5.722819
0.561795	0.075718	0.425531	0.064265	0.647996	-1.7339
0.605568	0.610424	0.106672	0.15474	0.841506	3.288937
0.854254	0.539164	0.771297	0.490827	0.855383	7.03623
0.835315	0.89664	0.042601	0.181195	0.237159	-6.278311
0.721112	0.439766	0.702536	0.882906	0.043374	5.791784
0.44211	0.265537	0.493857	0.215889	0.571578	6.656126
0.448807	0.458323	0.106385	0.278838	0.391311	6.625536
0.83212	0.022812	0.398472	0.949312	0.826739	-6.738994
0.288801	0.485767	0.475036	0.969555	0.252006	4.607225
0.24537	0.317781	0.040419	0.798121	0.383482	-3.084969
0.884174	0.995827	0.841286	0.959482	0.341565	1.335599
0.379613	0.682285	0.76812	0.367116	0.279856	6.525035
0.308352	0.145461	0.088608	0.036604	0.848499	-6.615102
0.117507	0.656473	0.267491	0.267448	0.956839	4.378033
0.054875	0.841161	0.297171	0.84455	0.401505	-6.422609
0.07857	0.450259	0.439612	0.499537	0.888915	7.282523
0.076665	0.85519	0.07336	0.064119	0.004779	-1.490083
0.179996	0.441804	0.409735	0.250403	0.006521	6.703895
0.917857	0.711992	0.764154	0.284263	0.997181	0.895368
0.332315	0.629008	0.908967	0.8598	0.288517	0.47152
0.559943	0.457926	0.833481	0.668913	0.45314	6.752792
0.819009	0.897635	0.715721	0.270258	0.426826	-0.708841
0.070097	0.450284	0.039126	0.125117	0.193806	-6.958543
0.434354	0.888224	0.879813	0.700808	0.632365	0.622755
0.843375	0.721021	0.038575	0.54433	0.073789	-2.366628
0.235445	0.503648	0.516763	0.845406	0.660495	7.045269
0.873962	0.177434	0.77182	0.722692	0.107508	-1.499178
0.122191	0.948587	0.799381	0.46154	0.273692	-4.940186
0.228704	0.244675	0.807941	0.90949	0.506113	-3.165243
0.342033	0.634254	0.219235	0.909676	0.301535	3.488316
0.703805	0.549274	0.750963	0.636079	0.564548	6.331598
0.682127	0.778236	0.528917	0.82657	0.369676	6.412753
0.358645	0.878648	0.652849	0.426736	0.952404	7.3145
0.914646	0.978254	0.025231	0.444536	0.041333	-4.221283
0.514307	0.126857	0.931337	0.8862	0.213549	-6.600052
0.816004	0.155309	0.685848	0.163509	0.0211	-1.327344
0.728374	0.767151	0.124683	0.7638	0.230998	0.872847
0.751861	0.445646	0.694362	0.014182	0.062404	0.277526
0.284463	0.6162	0.953748	0.083223	0.449647	-5.106994
0.054646	0.644386	0.55187	0.60811	0.899529	6.141967
0.524449	0.372412	0.478175	0.601803	0.271206	1.5394
0.209315	0.84258	0.460626	0.617671	0.764903	6.679087
0.030862	0.932882	0.108084	0.642853	0.238765	-6.172499
0.033372	0.756267	0.362176	0.869965	0.112886	-5.428987
0.888471	0.776002	0.313289	0.355477	0.471649	3.919743
0.084041	0.56492	0.9618	0.052713	0.445615	-5.792192
0.890872	0.954955	0.053338	0.028799	0.660289	4.820407
0.314482	0.622645	0.26028	0.010605	0.496016	0.165634
0.4314	0.594088	0.118052	0.747029	0.108874	6.231116
0.354919	0.98712	0.385996	0.912542	0.412993	-5.181808
0.001053	0.962289	0.006223	0.214851	0.745243	5.132321
0.125155	0.502569	0.767559	0.750523	0.104812	4.20855
0.739504	0.244884	0.449694	0.812578	0.307429	6.196374
0.63249	0.688323	0.920968	0.984295	0.544338	-5.998981
0.166804	0.542571	0.65833	0.894098	0.756851	3.620547

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wlaminack/nonlineartesting2

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 7np.sin(9r2)+np.random.random()*(array1[4]-.5) f=np.apply_along_axis(basic, 1, a)

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Size of downloaded dataset files:

575 MB

Size of the auto-converted Parquet files:

287 MB

Number of rows:

5,000,000