Phil 2.22.21

Next year this date will be very exciting!
Replace rear tire!
Shopping! Done
Book
2:00 Meeting with Michelle
Need to add something about Nomads by choice and nomads by circumstance. One is pathfinding, and the other is abandonment/expulsion
SBIR
Bi-monthly report
GPT Agents
I just got on the OpenAI GPT-3 beta!
Train a single month using the new data and the small model
Set few-shot training by drawing selecting all the tweets that contain the phrase %xxxx% in the corpora and subsample as needed to the desired number of examples. Then generate and store the desired number of results
Use Ecco to illustrate selected examples?
Update Ecco and issue a pull request – done!
- Return the dict if html_output = False
- html_output = True in args
- Here’s the non-html version
hello, ecco
2021-02-22 09:02:11.376728: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cudart64_110.dll
<LMOutput 'one, two, three, four, five, five, six, six, seven, seven, eight, seven, ten, twelve,' # of lm outputs: 7>
{'tokens': [{'token': 'one', 'token_id': 505, 'type': 'input', 'value': '0.22258912', 'position': 0}, {'token': ',', 'token_id': 11, 'type': 'input', 'value': '0.064860135', 'position': 1}, {'token': ' two', 'token_id': 734, 'type': 'input', 'value': '0.15291078', 'position': 2}, {'token': ',', 'token_id': 11, 'type': 'input', 'value': '0.075403504', 'position': 3}, {'token': ' three', 'token_id': 1115, 'type': 'input', 'value': '0.21873675', 'position': 4}, {'token': ',', 'token_id': 11, 'type': 'input', 'value': '0.04952843', 'position': 5}, {'token': ' four', 'token_id': 1440, 'type': 'input', 'value': '0.17954932', 'position': 6}, {'token': ',', 'token_id': 11, 'type': 'input', 'value': '0.03642196', 'position': 7}, {'token': ' five', 'token_id': 1936, 'type': 'output', 'value': '0', 'position': 8}, {'token': ',', 'token_id': 11, 'type': 'output', 'value': '0', 'position': 9}, {'token': ' five', 'token_id': 1936, 'type': 'output', 'value': '0', 'position': 10}, {'token': ',', 'token_id': 11, 'type': 'output', 'value': '0', 'position': 11}, {'token': ' six', 'token_id': 2237, 'type': 'output', 'value': '0', 'position': 12}, {'token': ',', 'token_id': 11, 'type': 'output', 'value': '0', 'position': 13}, {'token': ' six', 'token_id': 2237, 'type': 'output', 'value': '0', 'position': 14}, {'token': ',', 'token_id': 11, 'type': 'output', 'value': '0', 'position': 15}, {'token': ' seven', 'token_id': 3598, 'type': 'output', 'value': '0', 'position': 16}, {'token': ',', 'token_id': 11, 'type': 'output', 'value': '0', 'position': 17}, {'token': ' seven', 'token_id': 3598, 'type': 'output', 'value': '0', 'position': 18}, {'token': ',', 'token_id': 11, 'type': 'output', 'value': '0', 'position': 19}, {'token': ' eight', 'token_id': 3624, 'type': 'output', 'value': '0', 'position': 20}, {'token': ',', 'token_id': 11, 'type': 'output', 'value': '0', 'position': 21}, {'token': ' seven', 'token_id': 3598, 'type': 'output', 'value': '0', 'position': 22}, {'token': ',', 'token_id': 11, 'type': 'output', 'value': '0', 'position': 23}, {'token': ' ten', 'token_id': 3478, 'type': 'output', 'value': '0', 'position': 24}, {'token': ',', 'token_id': 11, 'type': 'output', 'value': '0', 'position': 25}, {'token': ' twelve', 'token_id': 14104, 'type': 'output', 'value': '0', 'position': 26}, {'token': ',', 'token_id': 11, 'type': 'output', 'value': '0', 'position': 27}], 'attributions': [[0.22258912026882172, 0.06486013531684875, 0.15291078388690948, 0.07540350407361984, 0.21873675286769867, 0.04952843114733696, 0.17954932153224945, 0.03642195835709572], [0.21059739589691162, 0.08506321907043457, 0.10517895966768265, 0.06970299780368805, 0.0833553671836853, 0.06893090158700943, 0.11408285796642303, 0.06513398140668869, 0.19795432686805725], [0.18917866051197052, 0.05591090768575668, 0.11437422782182693, 0.06194028630852699, 0.14940014481544495, 0.05109493061900139, 0.13605113327503204, 0.04323190823197365, 0.16186146438121796, 0.036956313997507095], [0.1881534308195114, 0.06915824860334396, 0.09677033871412277, 0.05285586044192314, 0.07482346147298813, 0.05150040239095688, 0.08954611420631409, 0.052106279879808426, 0.09847243875265121, 0.07199375331401825, 0.15461969375610352], [0.17256230115890503, 0.051994744688272476, 0.09864256531000137, 0.0542512908577919, 0.12412769347429276, 0.048067208379507065, 0.11856795847415924, 0.04466724395751953, 0.115085169672966, 0.03303493186831474, 0.10736697167158127, 0.0316319540143013], [0.1601886749267578, 0.061091333627700806, 0.07975628972053528, 0.04445934668183327, 0.06458994001150131, 0.04427047073841095, 0.06633348762989044, 0.04812125489115715, 0.06941992044448853, 0.04545144364237785, 0.05678795278072357, 0.04917420074343681, 0.2103556990623474], [0.15204396843910217, 0.045879215002059937, 0.08276450634002686, 0.04710154980421066, 0.10755057632923126, 0.04356013983488083, 0.10087976604700089, 0.04368861764669418, 0.1039900854229927, 0.03419572487473488, 0.09188895672559738, 0.018628299236297607, 0.10064685344696045, 0.027181735262274742], [0.15202827751636505, 0.054488517343997955, 0.07370518893003464, 0.03688199818134308, 0.06367962807416916, 0.03571085259318352, 0.06372495740652084, 0.03937176987528801, 0.0647173747420311, 0.04080101102590561, 0.04775563254952431, 0.03407425060868263, 0.08399699628353119, 0.05491986870765686, 0.15414364635944366], [0.14423254132270813, 0.043195948004722595, 0.07906319946050644, 0.04169945418834686, 0.0998333990573883, 0.03888460621237755, 0.09324592351913452, 0.040613241493701935, 0.10006645321846008, 0.03402014449238777, 0.08717798441648483, 0.02316855825483799, 0.06652144342660904, 0.01834581419825554, 0.0651322454214096, 0.024798991158604622], [0.13373175263404846, 0.04726942256093025, 0.06662306189537048, 0.03134704381227493, 0.055253904312849045, 0.029025832191109657, 0.05654153227806091, 0.03190178796648979, 0.05787787586450577, 0.03615624085068703, 0.04139142856001854, 0.03552539646625519, 0.05441423878073692, 0.03426354378461838, 0.05245133861899376, 0.0413157157599926, 0.19490987062454224], [0.1345134824514389, 0.04032375290989876, 0.07328703999519348, 0.03726156800985336, 0.08852741122245789, 0.03443199023604393, 0.08518599718809128, 0.03616797551512718, 0.09120426326990128, 0.031830523163080215, 0.07864660024642944, 0.023800017312169075, 0.05850181728601456, 0.02105688489973545, 0.05589877441525459, 0.015616844408214092, 0.06888125836849213, 0.02486378327012062], [0.12652075290679932, 0.04134056717157364, 0.06051903963088989, 0.02772645838558674, 0.050938140600919724, 0.025345684960484505, 0.05245476961135864, 0.026518667116761208, 0.05662158131599426, 0.030446955934166908, 0.044499896466732025, 0.03298814222216606, 0.05097997933626175, 0.03056175820529461, 0.04033765196800232, 0.02774038165807724, 0.07083491235971451, 0.043943196535110474, 0.15968146920204163], [0.12978246808052063, 0.03859121724963188, 0.06958351284265518, 0.03402606025338173, 0.08373469114303589, 0.030794424936175346, 0.07956207543611526, 0.032011084258556366, 0.08528966456651688, 0.02837086282670498, 0.07092872262001038, 0.02181713469326496, 0.053476281464099884, 0.020540550351142883, 0.05198293551802635, 0.018952928483486176, 0.05511363595724106, 0.013460895046591759, 0.05456216633319855, 0.02741875685751438], [0.1180478110909462, 0.04020005092024803, 0.054879143834114075, 0.02707388810813427, 0.047450218349695206, 0.023739859461784363, 0.05038924515247345, 0.024456234648823738, 0.047715943306684494, 0.02747093327343464, 0.03706439211964607, 0.0308961383998394, 0.04147675260901451, 0.031551189720630646, 0.0328393280506134, 0.027200669050216675, 0.0456111878156662, 0.02625013142824173, 0.05143207311630249, 0.03938102349638939, 0.17487379908561707], [0.1171923577785492, 0.034699417650699615, 0.06537913531064987, 0.03106089122593403, 0.0792543962597847, 0.027469279244542122, 0.0716739073395729, 0.02862895093858242, 0.07993895560503006, 0.025614075362682343, 0.06548977643251419, 0.020967641845345497, 0.05116114020347595, 0.02104913629591465, 0.05117170512676239, 0.021118970587849617, 0.05328201875090599, 0.017415646463632584, 0.0483008548617363, 0.010480904020369053, 0.0580831877887249, 0.020567581057548523], [0.10331424325704575, 0.03044593520462513, 0.0515039786696434, 0.020523859187960625, 0.04673514515161514, 0.01886308752000332, 0.04609629884362221, 0.018619094043970108, 0.04607436805963516, 0.020929865539073944, 0.03714223951101303, 0.02411222830414772, 0.04459238797426224, 0.024786628782749176, 0.033377647399902344, 0.023412106558680534, 0.061772845685482025, 0.022222455590963364, 0.050952207297086716, 0.029886750504374504, 0.05736793577671051, 0.043550651520490646, 0.14371803402900696], [0.11561653017997742, 0.03434549644589424, 0.06183779239654541, 0.029705578461289406, 0.07546865940093994, 0.026097867637872696, 0.06843607127666473, 0.027166275307536125, 0.07738236337900162, 0.024367135018110275, 0.06257404386997223, 0.019834842532873154, 0.04871196299791336, 0.019919248297810555, 0.04681717976927757, 0.020517172291874886, 0.049287013709545135, 0.018004678189754486, 0.0437239371240139, 0.01232482586055994, 0.04339848831295967, 0.008752784691751003, 0.04222355782985687, 0.02348649688065052], [0.10086216032505035, 0.03523547574877739, 0.04474911466240883, 0.02235623449087143, 0.03697269409894943, 0.0194859616458416, 0.04178309068083763, 0.018883418291807175, 0.04281749948859215, 0.020283740013837814, 0.037377286702394485, 0.022277342155575752, 0.03504293039441109, 0.02316695638000965, 0.02779640257358551, 0.02297920361161232, 0.033881187438964844, 0.022866230458021164, 0.03282133489847183, 0.02020248956978321, 0.041888438165187836, 0.025234123691916466, 0.04621865972876549, 0.0418705977499485, 0.18294738233089447], [0.09987115859985352, 0.028910968452692032, 0.053824856877326965, 0.025705233216285706, 0.06502629071474075, 0.02236601710319519, 0.05963760241866112, 0.022843429818749428, 0.06642232835292816, 0.021395988762378693, 0.054698407649993896, 0.018247412517666817, 0.04362887516617775, 0.017933566123247147, 0.04240269213914871, 0.018407726660370827, 0.0463126040995121, 0.017563357949256897, 0.04160071536898613, 0.015998894348740578, 0.03565698862075806, 0.014985213056206703, 0.04064951464533806, 0.0129097243770957, 0.0890578106045723, 0.023942623287439346], [0.0809876024723053, 0.03257425129413605, 0.037600934505462646, 0.02191905491054058, 0.03524129465222359, 0.018587255850434303, 0.04728523641824722, 0.017956718802452087, 0.036090362817049026, 0.018309801816940308, 0.03293214365839958, 0.018760766834020615, 0.03602268546819687, 0.019794179126620293, 0.03185930848121643, 0.020158812403678894, 0.02658083476126194, 0.01986663229763508, 0.02638169191777706, 0.019547127187252045, 0.03760283440351486, 0.02026677317917347, 0.0282907634973526, 0.02577134408056736, 0.0830618366599083, 0.037606652826070786, 0.1689431220293045]]}
C:\Program Files\Python\lib\site-packages\sklearn\decomposition\_nmf.py:1077: ConvergenceWarning: Maximum number of iterations 500 reached. Increase it to improve convergence.
  " improve convergence." % max_iter, ConvergenceWarning)
{'tokens': [{'token': 'one', 'token_id': 505, 'type': 'input', 'position': 0}, {'token': ',', 'token_id': 11, 'type': 'input', 'position': 1}, {'token': ' two', 'token_id': 734, 'type': 'input', 'position': 2}, {'token': ',', 'token_id': 11, 'type': 'input', 'position': 3}, {'token': ' three', 'token_id': 1115, 'type': 'input', 'position': 4}, {'token': ',', 'token_id': 11, 'type': 'input', 'position': 5}, {'token': ' four', 'token_id': 1440, 'type': 'input', 'position': 6}, {'token': ',', 'token_id': 11, 'type': 'input', 'position': 7}, {'token': ' five', 'token_id': 1936, 'type': 'output', 'position': 8}, {'token': ',', 'token_id': 11, 'type': 'output', 'position': 9}, {'token': ' five', 'token_id': 1936, 'type': 'output', 'position': 10}, {'token': ',', 'token_id': 11, 'type': 'output', 'position': 11}, {'token': ' six', 'token_id': 2237, 'type': 'output', 'position': 12}, {'token': ',', 'token_id': 11, 'type': 'output', 'position': 13}, {'token': ' six', 'token_id': 2237, 'type': 'output', 'position': 14}, {'token': ',', 'token_id': 11, 'type': 'output', 'position': 15}, {'token': ' seven', 'token_id': 3598, 'type': 'output', 'position': 16}, {'token': ',', 'token_id': 11, 'type': 'output', 'position': 17}, {'token': ' seven', 'token_id': 3598, 'type': 'output', 'position': 18}, {'token': ',', 'token_id': 11, 'type': 'output', 'position': 19}, {'token': ' eight', 'token_id': 3624, 'type': 'output', 'position': 20}, {'token': ',', 'token_id': 11, 'type': 'output', 'position': 21}, {'token': ' seven', 'token_id': 3598, 'type': 'output', 'position': 22}, {'token': ',', 'token_id': 11, 'type': 'output', 'position': 23}, {'token': ' ten', 'token_id': 3478, 'type': 'output', 'position': 24}, {'token': ',', 'token_id': 11, 'type': 'output', 'position': 25}, {'token': ' twelve', 'token_id': 14104, 'type': 'output', 'position': 26}, {'token': ',', 'token_id': 11, 'type': 'output', 'position': 27}], 'factors': [[[1.1749050617218018, 0.0, 4.174020796199329e-05, 0.0, 0.0, 0.0, 0.0, 1.6842181139509194e-05, 1.6842181139509194e-05, 7.907724648248404e-05, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.00021821660629939288, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 8.583216549595818e-05, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0006136916927061975, 0.0, 0.0, 0.03745964169502258, 0.004776454996317625, 0.004776454996317625, 0.08487999439239502, 0.0, 0.15284782648086548, 0.006533266510814428, 0.19210265576839447, 0.0, 0.23522864282131195, 0.0, 0.26809075474739075, 0.0, 0.2898506820201874, 0.0, 0.2553434669971466, 0.0005055475048720837, 0.30294179916381836, 0.005593298468738794, 0.03264965862035751, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 1.419406771659851, 0.0, 1.559943437576294, 0.0009293985203839839, 0.0009293985203839839, 1.383615255355835, 0.014789805747568607, 0.9984501600265503, 0.0, 0.707604169845581, 0.0, 0.4685404300689697, 0.0, 0.2941336929798126, 0.0, 0.13417471945285797, 0.009529122151434422, 0.10319297760725021, 0.007372288033366203, 0.0, 0.0, 0.06743992865085602, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.008554508909583092, 0.0, 0.0334680899977684, 0.0, 0.15881435573101044, 0.0, 0.23637165129184723, 2.5085502784349956e-05, 0.27648571133613586, 0.002731950953602791, 0.31169313192367554, 0.0, 0.26685473322868347, 0.0], [0.0, 0.0, 0.0, 0.003048897720873356, 0.0, 0.0, 0.0, 0.11994873732328415, 0.11994873732328415, 0.00020270798995625228, 0.43330657482147217, 0.0153672369197011, 0.6093799471855164, 0.01629449985921383, 1.021621823310852, 0.016422705724835396, 1.1039609909057617, 0.0, 0.6456769704818726, 0.0, 0.3512823283672333, 0.0, 0.09890929609537125, 0.0, 0.017450863495469093, 0.011394587345421314, 0.0, 0.0], [0.0, 0.0, 0.696977436542511, 0.006282013840973377, 0.2083570659160614, 0.0, 0.060352765023708344, 0.0, 0.0, 0.0, 0.0012489393120631576, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0014060646062716842, 0.0015231686411425471, 0.00017680390737950802, 0.004380697384476662, 0.0, 0.0006365026929415762, 0.0, 0.0, 0.0, 0.029077952727675438], [0.0, 0.0, 0.0, 0.0, 0.0, 0.5207799673080444, 0.0, 0.6182433366775513, 0.6182433366775513, 0.00682591088116169, 0.5392492413520813, 0.0012549938401207328, 0.4196029305458069, 0.0, 0.1323639303445816, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.042940836399793625, 0.0, 0.0, 0.0, 0.0986984446644783, 0.0], [0.0, 0.0, 0.0, 0.0015103527111932635, 0.0, 0.0, 0.0, 0.0, 0.0, 0.00701142055913806, 0.0, 0.0, 0.0, 0.022583989426493645, 0.0, 0.007366797886788845, 0.00075104262214154, 0.0, 0.0, 0.0035612466745078564, 0.0, 0.13789713382720947, 0.0, 0.018509462475776672, 0.0, 0.7861870527267456, 0.023602478206157684, 0.8958369493484497], [1.92419270206301e-06, 0.8122134208679199, 0.0042172386310994625, 0.1016063317656517, 0.0, 0.0, 0.0, 0.0, 0.0, 0.004280794877558947, 0.030012501403689384, 0.0, 0.011906291358172894, 0.0, 0.0022146401461213827, 0.0, 0.0, 0.0, 0.0005024807178415358, 0.00017763646610546857, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.021231088787317276, 0.0016654416685923934], [0.0, 0.0, 0.0, 1.7516762018203735, 0.003883163910359144, 0.8880190253257751, 0.017067980021238327, 0.3859412372112274, 0.3859412372112274, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.01619700714945793, 0.0, 0.0, 0.0, 0.0, 0.0, 0.042748916894197464, 0.0, 0.025438468903303146, 0.0, 0.0, 0.0]]]}
{'input_tokens': ['one', ',', ' two', ',', ' three', ',', ' four', ',', ' five', ',', ' five', ',', ' six', ',', ' six', ',', ' seven', ',', ' seven', ',', ' eight', ',', ' seven', ',', ' ten', ',', ' twelve', ','], 'output_tokens': ["'one'", "','", "' two'"], 'rankings': array([[ 655,   12,   16],
       [ 380,   17,   29],
       [1365,    2,  184],
       [ 604,    1,  161],
       [ 797,    1,   66],
       [2141,    1,   98]])}
viztales

Dimension reduction, State, Orientation, and Speed

Phil 2.22.21

Share this:

Like this:

Related
