I have built a language model that I’m hoping will print out sql-looking text, so I am feeding it the following:
ss="""select *"""
s = [tok.spacy_tok(ss)]
t = np.array([[stoi[o] for o in p] for p in s])
' '.join(s[0])
predictions = learner.predict_array(t)
This gives me the following list:
[array([[ -0.27024, -8.19738, 0.62141, ..., -8.40918, -8.29776, -9.02088],
[ 0.73325, -9.69724, 1.94042, ..., -9.71638, -9.17598, -10.30418]], dtype=float32),
[array([[[-0.02815, 0.01443, -0.21755, ..., -0.2932 , -0.83243, -0.68881],
[-0.11399, 0.58334, 0.01465, ..., -0.42394, 0.0057 , -0.00011]]], dtype=float32),
array([[[ 0.17183, 0.06068, 0.87668, ..., 0.09799, 0.00023, -0.0269 ],
[-0.03981, -0.05539, -0.23291, ..., 0.01526, 0.95958, 0.20518]]], dtype=float32),
array([[[ 0.67286, -0.62926, -0.46802, 0.70781, -0.1038 , -0.56664, -0.75002, 0.59732, -0.71267, 0.67986,
0.29438, -0.32798, -0.11172, -0.10629, -0.22235, 0.02634, -0.12676, 0.00015, -0.2415 , -0.69331,
0.1373 , 0.6395 , 0.54709, -0.18545, 0.73523, -0.07354, 0.72034, -0.69605, -0.83535, -0.0378 ,
0.93838, 0.12184, -0.77273, -0.88967, 0.06678, -0.88061, -0.25478, -0.91705, 0.00156, -0.0026 ,
0.12699, -0.09595, 0.36363, -0.02742, -0.72856, -0.46303, 0.29309, 0.84334, 0.13666, -0.08954,
0.71309, -0.83131, 0.99123, -0.63005, 0.02297, -0.31556, 0.76686, -0.58607, 0.75435, -0.44936,
0.05017, -0.02792, 0.34902, -0.32274, 0.18679, -0.20664, 0.03724, -0.51263, 0.88026, 0.00346,
0.17272, -0.7053 , 0.03951, 0.00038, -0.38001, -0.42956, 0.67778, 0.5839 , -0.06674, -0.00792,
-0.34072, 0.27365, 0.58116, 0.00094, -0.06808, 0.90614, 0.5648 , 0.41149, 0.00279, -0.8009 ,
0.89737, 0.1683 , -0.47667, -0.60266, 0.00028, 0.00242, 0.50461, -0.00596, -0.39126, -0.00524,
0.17619, 0.11177, 0.56797, 0.04151, 0.00092, 0.81613, 0.00019, -0.68058, 0.00011, -0.13884,
0.2879 , 0.08336, 0.03764, -0.16683, -0.12263, 0.99375, 0.77305, -0.72881, -0.51032, -0.00854,
0.21516, 0.94627, -0.43949, 0.09651, 0.48232, -0.67047, 0.61994, -0.65298, 0.76164, 0.40813,
-0.21207, 0.02539, 0.30622, 0.94719, -0.47456, 0.05289, 0.68243, -0.65845, -0.22452, 0.46537,
0.17224, -0.37007, -0.01055, 0.31053, -0.08247, 0.17951, 0.66865, 0.00286, 0.10626, -0.58866,
-0.65322, -0.0006 , -0.01518, 0.42873, -0.09785, 0.62467, -0.47047, 0.91923, 0.79256, 0.5828 ,
0.62863, 0.03925, -0.69479, -0.55773, -0.19763, 0.03652, -0.17079, -0.85278, -0.46987, -0.81744,
0.00205, -0.03472, 0.22838, 0.57121, 0.11225, 0.15275, 0.75706, 0.02474, 0.10318, 0.83198,
-0.0023 , -0.44944, -0.45313, -0.00027, 0.53422, -0.0233 , 0.06128, -0.02725, -0.06369, 0.20423,
-0.85756, -0.33212, -0.06988, 0.14369, 0.78994, -0.04727, 0.02333, -0.31869, 0.10497, -0.94189,
-0.06164, 0.31728, 0.10503, 0.00242, -0.30187, 0.16965, -0.59538, 0.0048 , -0.22711, -0.16922,
0.00835, 0.55194, -0.99398, -0.02675, -0.12815, -0.02341, -0.52103, -0.10805, 0.19744, -0.64536,
-0.55582, -0.13832, -0.12886, 0.06639, 0.00281, -0.05265, 0.65211, 0.2119 , -0.80961, -0.48294,
0.09542, -0.85252, 0.20053, 0.03175, -0.97582, -0.23859, -0.25901, 0.77566, 0.04035, -0.73435,
0.02944, -0.06317, -0.57585, 0.00446, -0.79466, 0.3611 , 0.59581, -0.2554 , 0.59862, 0.04779,
0.16032, 0.03658, 0.03249, -0.00826, 0.5015 , -0.20112, -0.00579, 0.80953, 0.0095 , -0.30357,
-0.075 , 0.48389, 0.97771, -0.61917, -0.34016, -0.23435, 0.1816 , -0.61097, -0.00523, 0.81557,
-0.65464, -0.73878, 0.04386, 0.55917, -0.36094, 0.31521, -0.91728, 0.01842, 0.34646, -0.95734,
-0.39245, -0.07041, -0.58314, -0.00131, -0.01181, -0.901 , 0.03733, -0.68288, 0.71937, -0.55193,
0.05402, -0.99416, -0.5582 , -0.40096, 0.00934, 0.20287, -0.02709, 0.47579, -0.09131, 0.44647,
0.15844, -0.15828, 0.4887 , -0.27968, -0.01158, -0.40339, -0.88158, 0.48028, -0.31001, 0.01998,
0.008 , 0.75216, 0.44623, -0.97026, 0.95654, 0.93987, 0.81009, -0.60017, 0.00245, -0.75555,
-0.70842, -0.81023, 0.40101, -0.71133, 0.00094, -0.03572, 0.75106, 0.79254, 0.01317, 0.11687,
0.03002, 0.53937, 0.30929, -0.09701, -0.57614, 0.58046, 0.52487, 0.52834, -0.47754, 0.07432,
0.36766, 0.12985, -0.65396, 0.54573, -0.95443, 0.50693, 0.48865, 0.78406, 0.10212, 0.22122,
0.84579, -0.66749, -0.80173, -0.00079, -0.01478, 0.91735, -0.38039, -0.03046, -0.14163, 0.12755,
-0.02287, -0.2211 , -0.11576, -0.7463 , -0.24429, 0.12826, -0.80301, -0.57252, -0.06721, -0.99647,
-0.45914, -0.2207 , -0.62894, -0.52069, -0.09315, -0.15881, -0.34433, -0.32729, -0.8492 , 0.13056,
-0.38323, -0.02844, -0.01491, -0.08301, 0.01411, 0.99509, 0.0015 , 0.1794 , -0.21069, -0.00529,
-0.00715, -0.01159, 0.18546, 0.68294, 0.00909, -0.03601, 0.00338, 0.71442, 0.73567, 0.15405],
[-0.10745, -0.89728, -0.02773, 0.36846, 0.68909, -0.00238, -0.84575, 0.21863, -0.72444, -0.38227,
0.92325, 0.82073, -0.09403, -0.02757, 0.76086, 0.86858, -0.04909, -0.12215, -0.42108, -0.25846,
0.07183, 0.3582 , 0.28667, 0.19003, -0.0887 , -0.40156, 0.09809, 0.0253 , -0.66314, -0.00102,
-0.1837 , -0.06704, -0.07694, -0.00983, 0.0421 , 0.37194, -0.58079, -0.25971, -0.00935, -0.02574,
-0.00143, 0.0006 , 0.54139, -0.43277, -0.06122, 0.71352, -0.33764, 0.26673, 0.15375, -0.08849,
-0.79094, 0.37394, -0.15387, 0.41102, 0.03294, -0.37476, 0.34984, 0.57495, 0.81134, -0.23035,
0.00533, -0.7472 , 0.42648, -0.14137, 0.3784 , 0.63215, -0.03785, -0.75149, 0.53347, -0.77514,
0.55872, -0.3569 , 0.00124, 0.93715, -0.39832, -0.40543, 0.71075, 0.00698, -0.56825, -0.01117,
-0.05005, -0.01759, 0.25676, 0.44227, 0.26843, -0.04639, 0.81999, 0.03353, 0.00346, 0.23105,
0.38465, -0.15921, 0.94683, -0.00414, 0.00014, 0.0221 , -0.31495, -0.37511, 0.78355, -0.20104,
0.12596, 0.19275, -0.06768, -0.27088, 0.0865 , -0.84591, -0.09512, -0.92559, 0.10891, -0.02505,
0.35839, 0.82832, 0.72355, -0.23236, 0.3319 , 0.98149, -0.78959, 0.40203, -0.07513, 0.47152,
-0.84441, 0.11772, 0.00124, 0.83422, 0.27929, 0.86386, -0.20588, 0.26875, 0.85652, 0.74349,
-0.01994, 0.0347 , -0.12332, 0.00867, 0.13142, 0.54586, -0.18044, 0.79878, 0.46989, 0.8288 ,
0.11206, -0.63212, 0.07159, 0.07711, -0.19824, -0.01445, -0.01615, 0.0213 , 0.39786, -0.00181,
0.65992, -0.2276 , -0.75137, 0.76128, 0.20748, 0.00872, -0.04719, -0.84117, -0.20077, 0.18145,
-0.79947, 0.81305, -0.02757, -0.01545, -0.21821, 0.49826, -0.02486, -0.53021, 0.17162, 0.04734,
0.17984, -0.84934, 0.08191, -0.3045 , 0.13092, 0.01098, -0.05554, -0.09635, -0.13986, -0.18509,
-0.57531, 0.01809, -0.00269, 0.52137, -0.06853, -0.02114, 0.62262, -0.76599, 0.01034, 0.16209,
-0.0254 , 0.02735, -0.02615, 0.65093, -0.85351, -0.89152, 0.00799, -0.59672, -0.48846, -0.59858,
-0.15403, 0.65761, 0.16738, 0.0754 , 0.52624, 0.82602, -0.02598, 0.40127, 0.45649, 0.11987,
0.24958, 0.34019, -0.742 , 0.04091, -0.02229, 0.74436, 0.12138, 0.71557, 0.01476, -0.25715,
0.08925, -0.08362, -0.3 , -0.06476, 0.09035, 0.7435 , -0.07749, -0.8163 , -0.33656, 0.29714,
-0.00522, -0.0003 , 0.87023, 0.02558, -0.99604, -0.1197 , -0.06248, -0.00118, 0.10089, -0.72426,
0.00437, -0.40108, -0.15225, 0.00475, -0.0592 , 0.31623, -0.00579, -0.62022, -0.12784, -0.66596,
0.30865, 0.32293, 0.00099, -0.02548, -0.181 , -0.57369, 0.46369, -0.97714, -0.00414, 0.69337,
-0.97754, -0.03125, 0.63071, 0.04494, -0.71515, -0.22428, -0.11089, -0.7952 , -0.09471, -0.63099,
-0.57655, 0.02376, 0.07157, -0.17595, 0.96694, 0.28698, 0.52431, 0.00224, 0.4979 , -0.15099,
-0.92323, -0.35417, -0.0007 , 0.03533, -0.98333, 0.80681, 0.14622, 0.80184, 0.63707, -0.34576,
-0.04199, -0.58708, -0.01058, 0.21514, -0.00114, 0.14158, -0.00103, 0.00136, 0.00237, 0.03363,
0.36892, -0.65307, 0.43041, 0.15427, -0.40644, -0.71505, -0.50262, -0.5281 , 0.53987, 0.18279,
0.10648, 0.15446, 0.01094, -0.00054, 0.0298 , 0.10558, 0.46539, 0.84262, -0.90441, -0.32831,
-0.97124, 0.00711, 0.30706, -0.02257, 0.82821, 0.16343, -0.17096, 0.23279, 0.94632, 0.89465,
0.00422, 0.11399, -0.03034, 0.53426, 0.2359 , -0.72692, 0.97674, -0.29913, 0.09627, 0.47417,
-0.87099, -0.37598, -0.00867, -0.70182, -0.81085, 0.57523, -0.12937, -0.40587, 0.23322, 0.01819,
-0.58604, 0.50209, 0.69755, -0.71263, -0.22608, 0.82225, 0.49957, 0.73971, 0.06533, -0.79 ,
-0.02314, -0.01394, -0.75689, 0.45218, -0.1325 , 0.62047, -0.10407, -0.08093, -0.0114 , -0.39029,
-0.59705, -0.94595, 0.44325, -0.37954, 0.00017, -0.00643, -0.02829, -0.97852, 0.00206, -0.39064,
-0.00037, -0.18224, -0.25577, 0.95344, 0.61798, 0.95757, -0.20175, 0.11794, -0.71991, -0.09784,
-0.27881, -0.19821, -0.04242, -0.8296 , 0.00081, 0.60963, 0.62664, 0.72264, 0.01433, 0.02532]]], dtype=float32)],
[array([[[-0.02815, 0.01443, -0.21755, ..., -0.2932 , -0.83243, -0.68881],
[-0.11399, 0.58334, 0.01465, ..., -0.42394, 0.0057 , -0.00011]]], dtype=float32),
array([[[ 0.17183, 0.06068, 0.87668, ..., 0.09799, 0.00023, -0.0269 ],
[-0.03981, -0.05539, -0.23291, ..., 0.01526, 0.95958, 0.20518]]], dtype=float32),
array([[[ 0.67286, -0.62926, -0.46802, 0.70781, -0.1038 , -0.56664, -0.75002, 0.59732, -0.71267, 0.67986,
0.29438, -0.32798, -0.11172, -0.10629, -0.22235, 0.02634, -0.12676, 0.00015, -0.2415 , -0.69331,
0.1373 , 0.6395 , 0.54709, -0.18545, 0.73523, -0.07354, 0.72034, -0.69605, -0.83535, -0.0378 ,
0.93838, 0.12184, -0.77273, -0.88967, 0.06678, -0.88061, -0.25478, -0.91705, 0.00156, -0.0026 ,
0.12699, -0.09595, 0.36363, -0.02742, -0.72856, -0.46303, 0.29309, 0.84334, 0.13666, -0.08954,
0.71309, -0.83131, 0.99123, -0.63005, 0.02297, -0.31556, 0.76686, -0.58607, 0.75435, -0.44936,
0.05017, -0.02792, 0.34902, -0.32274, 0.18679, -0.20664, 0.03724, -0.51263, 0.88026, 0.00346,
0.17272, -0.7053 , 0.03951, 0.00038, -0.38001, -0.42956, 0.67778, 0.5839 , -0.06674, -0.00792,
-0.34072, 0.27365, 0.58116, 0.00094, -0.06808, 0.90614, 0.5648 , 0.41149, 0.00279, -0.8009 ,
0.89737, 0.1683 , -0.47667, -0.60266, 0.00028, 0.00242, 0.50461, -0.00596, -0.39126, -0.00524,
0.17619, 0.11177, 0.56797, 0.04151, 0.00092, 0.81613, 0.00019, -0.68058, 0.00011, -0.13884,
0.2879 , 0.08336, 0.03764, -0.16683, -0.12263, 0.99375, 0.77305, -0.72881, -0.51032, -0.00854,
0.21516, 0.94627, -0.43949, 0.09651, 0.48232, -0.67047, 0.61994, -0.65298, 0.76164, 0.40813,
-0.21207, 0.02539, 0.30622, 0.94719, -0.47456, 0.05289, 0.68243, -0.65845, -0.22452, 0.46537,
0.17224, -0.37007, -0.01055, 0.31053, -0.08247, 0.17951, 0.66865, 0.00286, 0.10626, -0.58866,
-0.65322, -0.0006 , -0.01518, 0.42873, -0.09785, 0.62467, -0.47047, 0.91923, 0.79256, 0.5828 ,
0.62863, 0.03925, -0.69479, -0.55773, -0.19763, 0.03652, -0.17079, -0.85278, -0.46987, -0.81744,
0.00205, -0.03472, 0.22838, 0.57121, 0.11225, 0.15275, 0.75706, 0.02474, 0.10318, 0.83198,
-0.0023 , -0.44944, -0.45313, -0.00027, 0.53422, -0.0233 , 0.06128, -0.02725, -0.06369, 0.20423,
-0.85756, -0.33212, -0.06988, 0.14369, 0.78994, -0.04727, 0.02333, -0.31869, 0.10497, -0.94189,
-0.06164, 0.31728, 0.10503, 0.00242, -0.30187, 0.16965, -0.59538, 0.0048 , -0.22711, -0.16922,
0.00835, 0.55194, -0.99398, -0.02675, -0.12815, -0.02341, -0.52103, -0.10805, 0.19744, -0.64536,
-0.55582, -0.13832, -0.12886, 0.06639, 0.00281, -0.05265, 0.65211, 0.2119 , -0.80961, -0.48294,
0.09542, -0.85252, 0.20053, 0.03175, -0.97582, -0.23859, -0.25901, 0.77566, 0.04035, -0.73435,
0.02944, -0.06317, -0.57585, 0.00446, -0.79466, 0.3611 , 0.59581, -0.2554 , 0.59862, 0.04779,
0.16032, 0.03658, 0.03249, -0.00826, 0.5015 , -0.20112, -0.00579, 0.80953, 0.0095 , -0.30357,
-0.075 , 0.48389, 0.97771, -0.61917, -0.34016, -0.23435, 0.1816 , -0.61097, -0.00523, 0.81557,
-0.65464, -0.73878, 0.04386, 0.55917, -0.36094, 0.31521, -0.91728, 0.01842, 0.34646, -0.95734,
-0.39245, -0.07041, -0.58314, -0.00131, -0.01181, -0.901 , 0.03733, -0.68288, 0.71937, -0.55193,
0.05402, -0.99416, -0.5582 , -0.40096, 0.00934, 0.20287, -0.02709, 0.47579, -0.09131, 0.44647,
0.15844, -0.15828, 0.4887 , -0.27968, -0.01158, -0.40339, -0.88158, 0.48028, -0.31001, 0.01998,
0.008 , 0.75216, 0.44623, -0.97026, 0.95654, 0.93987, 0.81009, -0.60017, 0.00245, -0.75555,
-0.70842, -0.81023, 0.40101, -0.71133, 0.00094, -0.03572, 0.75106, 0.79254, 0.01317, 0.11687,
0.03002, 0.53937, 0.30929, -0.09701, -0.57614, 0.58046, 0.52487, 0.52834, -0.47754, 0.07432,
0.36766, 0.12985, -0.65396, 0.54573, -0.95443, 0.50693, 0.48865, 0.78406, 0.10212, 0.22122,
0.84579, -0.66749, -0.80173, -0.00079, -0.01478, 0.91735, -0.38039, -0.03046, -0.14163, 0.12755,
-0.02287, -0.2211 , -0.11576, -0.7463 , -0.24429, 0.12826, -0.80301, -0.57252, -0.06721, -0.99647,
-0.45914, -0.2207 , -0.62894, -0.52069, -0.09315, -0.15881, -0.34433, -0.32729, -0.8492 , 0.13056,
-0.38323, -0.02844, -0.01491, -0.08301, 0.01411, 0.99509, 0.0015 , 0.1794 , -0.21069, -0.00529,
-0.00715, -0.01159, 0.18546, 0.68294, 0.00909, -0.03601, 0.00338, 0.71442, 0.73567, 0.15405],
[-0.10745, -0.89728, -0.02773, 0.36846, 0.68909, -0.00238, -0.84575, 0.21863, -0.72444, -0.38227,
0.92325, 0.82073, -0.09403, -0.02757, 0.76086, 0.86858, -0.04909, -0.12215, -0.42108, -0.25846,
0.07183, 0.3582 , 0.28667, 0.19003, -0.0887 , -0.40156, 0.09809, 0.0253 , -0.66314, -0.00102,
-0.1837 , -0.06704, -0.07694, -0.00983, 0.0421 , 0.37194, -0.58079, -0.25971, -0.00935, -0.02574,
-0.00143, 0.0006 , 0.54139, -0.43277, -0.06122, 0.71352, -0.33764, 0.26673, 0.15375, -0.08849,
-0.79094, 0.37394, -0.15387, 0.41102, 0.03294, -0.37476, 0.34984, 0.57495, 0.81134, -0.23035,
0.00533, -0.7472 , 0.42648, -0.14137, 0.3784 , 0.63215, -0.03785, -0.75149, 0.53347, -0.77514,
0.55872, -0.3569 , 0.00124, 0.93715, -0.39832, -0.40543, 0.71075, 0.00698, -0.56825, -0.01117,
-0.05005, -0.01759, 0.25676, 0.44227, 0.26843, -0.04639, 0.81999, 0.03353, 0.00346, 0.23105,
0.38465, -0.15921, 0.94683, -0.00414, 0.00014, 0.0221 , -0.31495, -0.37511, 0.78355, -0.20104,
0.12596, 0.19275, -0.06768, -0.27088, 0.0865 , -0.84591, -0.09512, -0.92559, 0.10891, -0.02505,
0.35839, 0.82832, 0.72355, -0.23236, 0.3319 , 0.98149, -0.78959, 0.40203, -0.07513, 0.47152,
-0.84441, 0.11772, 0.00124, 0.83422, 0.27929, 0.86386, -0.20588, 0.26875, 0.85652, 0.74349,
-0.01994, 0.0347 , -0.12332, 0.00867, 0.13142, 0.54586, -0.18044, 0.79878, 0.46989, 0.8288 ,
0.11206, -0.63212, 0.07159, 0.07711, -0.19824, -0.01445, -0.01615, 0.0213 , 0.39786, -0.00181,
0.65992, -0.2276 , -0.75137, 0.76128, 0.20748, 0.00872, -0.04719, -0.84117, -0.20077, 0.18145,
-0.79947, 0.81305, -0.02757, -0.01545, -0.21821, 0.49826, -0.02486, -0.53021, 0.17162, 0.04734,
0.17984, -0.84934, 0.08191, -0.3045 , 0.13092, 0.01098, -0.05554, -0.09635, -0.13986, -0.18509,
-0.57531, 0.01809, -0.00269, 0.52137, -0.06853, -0.02114, 0.62262, -0.76599, 0.01034, 0.16209,
-0.0254 , 0.02735, -0.02615, 0.65093, -0.85351, -0.89152, 0.00799, -0.59672, -0.48846, -0.59858,
-0.15403, 0.65761, 0.16738, 0.0754 , 0.52624, 0.82602, -0.02598, 0.40127, 0.45649, 0.11987,
0.24958, 0.34019, -0.742 , 0.04091, -0.02229, 0.74436, 0.12138, 0.71557, 0.01476, -0.25715,
0.08925, -0.08362, -0.3 , -0.06476, 0.09035, 0.7435 , -0.07749, -0.8163 , -0.33656, 0.29714,
-0.00522, -0.0003 , 0.87023, 0.02558, -0.99604, -0.1197 , -0.06248, -0.00118, 0.10089, -0.72426,
0.00437, -0.40108, -0.15225, 0.00475, -0.0592 , 0.31623, -0.00579, -0.62022, -0.12784, -0.66596,
0.30865, 0.32293, 0.00099, -0.02548, -0.181 , -0.57369, 0.46369, -0.97714, -0.00414, 0.69337,
-0.97754, -0.03125, 0.63071, 0.04494, -0.71515, -0.22428, -0.11089, -0.7952 , -0.09471, -0.63099,
-0.57655, 0.02376, 0.07157, -0.17595, 0.96694, 0.28698, 0.52431, 0.00224, 0.4979 , -0.15099,
-0.92323, -0.35417, -0.0007 , 0.03533, -0.98333, 0.80681, 0.14622, 0.80184, 0.63707, -0.34576,
-0.04199, -0.58708, -0.01058, 0.21514, -0.00114, 0.14158, -0.00103, 0.00136, 0.00237, 0.03363,
0.36892, -0.65307, 0.43041, 0.15427, -0.40644, -0.71505, -0.50262, -0.5281 , 0.53987, 0.18279,
0.10648, 0.15446, 0.01094, -0.00054, 0.0298 , 0.10558, 0.46539, 0.84262, -0.90441, -0.32831,
-0.97124, 0.00711, 0.30706, -0.02257, 0.82821, 0.16343, -0.17096, 0.23279, 0.94632, 0.89465,
0.00422, 0.11399, -0.03034, 0.53426, 0.2359 , -0.72692, 0.97674, -0.29913, 0.09627, 0.47417,
-0.87099, -0.37598, -0.00867, -0.70182, -0.81085, 0.57523, -0.12937, -0.40587, 0.23322, 0.01819,
-0.58604, 0.50209, 0.69755, -0.71263, -0.22608, 0.82225, 0.49957, 0.73971, 0.06533, -0.79 ,
-0.02314, -0.01394, -0.75689, 0.45218, -0.1325 , 0.62047, -0.10407, -0.08093, -0.0114 , -0.39029,
-0.59705, -0.94595, 0.44325, -0.37954, 0.00017, -0.00643, -0.02829, -0.97852, 0.00206, -0.39064,
-0.00037, -0.18224, -0.25577, 0.95344, 0.61798, 0.95757, -0.20175, 0.11794, -0.71991, -0.09784,
-0.27881, -0.19821, -0.04242, -0.8296 , 0.00081, 0.60963, 0.62664, 0.72264, 0.01433, 0.02532]]], dtype=float32)]]
Is there a way to interprete this information or should I be using another method to do my predictions. Any help or a point in the correct direction would be great.