\n | CompletionDesc | \nCleanDesc | \n
---|---|---|
0 | \n[no completion notes were entered servicemax].... | \ncompletion notes entered servicemax techdispat... | \n
1 | \nassessed condition filters all inverters. litt... | \nassessed condition filters inverters little cl... | \n
2 | \n750. techdispatched: no | \ntechdispatched | \n
3 | \nall module rows washed, waiting for final repo... | \nmodule rows washed waiting final report sun power | \n
4 | \n10/2/19 e-1, row 51, e1-3-51-1. tracker tracki... | \nrow tracker tracking wrong lubed gear boxes tr... | \n
... | \n... | \n... | \n
95 | \nreplaced filters all inverters. | \nreplaced filters inverters | \n
96 | \nreplaced modem. c4 could not see it. i called ... | \nreplaced modem could see called contact suppor... | \n
97 | \narrived site, performed tasks, everything chec... | \narrived site performed tasks everything checke... | \n
98 | \nupon arrival cb 2.7 was offline with board tri... | \nupon arrival cb offline board tripped lead boa... | \n
99 | \nconfirmed that cb 1.1.6 was turned off. verifi... | \nconfirmed cb turned verified voltage array tur... | \n
100 rows × 2 columns
\n\n | CompletionDesc | \nCleanDesc | \n
---|---|---|
0 | \nwe reset communications inverter reset switch ... | \nreset communications inverter reset switch ins... | \n
1 | \npure power fixed damaged source circuits did f... | \npure power fixed damaged source circuits row c... | \n
2 | \n2/7: at 0945, we received call from c4 that al... | \nreceived call eight feeders tripped offline re... | \n
3 | \nw/o trackers 1/25/19 morning check west: *w-b1... | \nw trackers morning check west row tracking wro... | \n
4 | \nreplaced filters all inverters. | \nreplaced filters inverters | \n
... | \n... | \n... | \n
95 | \n. techdispatched: no | \ntechdispatched | \n
96 | \n7/21/19 w/o 0287481 w-b10-1 upon arriving foun... | \nw w b upon arriving found inverter fault mode ... | \n
97 | \nutility re-energized site | \nutility energized site | \n
98 | \n1/6: escorted onsite to change out contactor 3... | \nescorted onsite change contactor contactor cha... | \n
99 | \n8/3/19 cc: c4 reports pv ground overcurrent er... | \ncc reports pv ground overcurrent error gui upo... | \n
100 rows × 2 columns
\n\n | estimator | \nmin_score | \nmean_score | \nmax_score | \nstd_score | \nmean_fit_time | \nclf__C | \nclf__max_iter | \ndoc2vec__epochs | \ndoc2vec__vector_size | \n... | \nclf__alpha | \nclf__batch_size | \nclf__hidden_layer_sizes | \nclf__learning_rate | \nclf__solver | \nclf__loss | \nclf__normalize | \nclf__n_estimators | \nclf__max_samples | \nclf__algorithm | \n
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
197 | \nRidgeClassifier | \n0.327576 | \n0.328847 | \n0.330119 | \n0.00127141 | \n0.347001 | \nNaN | \nNaN | \n30 | \n40 | \n... | \n0.001 | \nNaN | \nNaN | \nNaN | \nNaN | \nNaN | \nFalse | \nNaN | \nNaN | \nNaN | \n
219 | \nSGDClassifier | \n0.162205 | \n0.324544 | \n0.486884 | \n0.16234 | \n0.246996 | \nNaN | \nNaN | \n30 | \n100 | \n... | \n0.01 | \nNaN | \nNaN | \nNaN | \nNaN | \nsquared_hinge | \nNaN | \nNaN | \nNaN | \nNaN | \n
202 | \nRidgeClassifier | \n0.30641 | \n0.32426 | \n0.342109 | \n0.0178496 | \n0.3425 | \nNaN | \nNaN | \n30 | \n100 | \n... | \n0.001 | \nNaN | \nNaN | \nNaN | \nNaN | \nNaN | \nTrue | \nNaN | \nNaN | \nNaN | \n
33 | \nMLPClassifier | \n0.258324 | \n0.323305 | \n0.388285 | \n0.0649801 | \n1.252 | \nNaN | \n1000 | \n30 | \n40 | \n... | \n0.01 | \nauto | \n(100,) | \nadaptive | \nadam | \nNaN | \nNaN | \nNaN | \nNaN | \nNaN | \n
258 | \nBaggingClassifier | \n0.281785 | \n0.312197 | \n0.342609 | \n0.0304119 | \n0.627001 | \nNaN | \nNaN | \n30 | \n100 | \n... | \nNaN | \nNaN | \nNaN | \nNaN | \nNaN | \nNaN | \nNaN | \n100 | \n0.8 | \nNaN | \n
... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n
160 | \nPassiveAggressiveClassifier | \n0.00679245 | \n0.00932215 | \n0.0118519 | \n0.0025297 | \n0.333001 | \n0 | \nNaN | \n30 | \n40 | \n... | \nNaN | \nNaN | \nNaN | \nNaN | \nNaN | \nsquared_hinge | \nNaN | \nNaN | \nNaN | \nNaN | \n
161 | \nPassiveAggressiveClassifier | \n0.00679245 | \n0.00932215 | \n0.0118519 | \n0.0025297 | \n0.331001 | \n0 | \nNaN | \n30 | \n40 | \n... | \nNaN | \nNaN | \nNaN | \nNaN | \nNaN | \nsquared_hinge | \nNaN | \nNaN | \nNaN | \nNaN | \n
162 | \nPassiveAggressiveClassifier | \n0.00679245 | \n0.00932215 | \n0.0118519 | \n0.0025297 | \n0.320499 | \n0 | \nNaN | \n30 | \n100 | \n... | \nNaN | \nNaN | \nNaN | \nNaN | \nNaN | \nsquared_hinge | \nNaN | \nNaN | \nNaN | \nNaN | \n
157 | \nPassiveAggressiveClassifier | \n0.00679245 | \n0.00932215 | \n0.0118519 | \n0.0025297 | \n0.313503 | \n0 | \nNaN | \n30 | \n40 | \n... | \nNaN | \nNaN | \nNaN | \nNaN | \nNaN | \nhinge | \nNaN | \nNaN | \nNaN | \nNaN | \n
187 | \nPassiveAggressiveClassifier | \n0.000784314 | \n0.00631808 | \n0.0118519 | \n0.00553377 | \n0.240998 | \n1 | \nNaN | \n30 | \n100 | \n... | \nNaN | \nNaN | \nNaN | \nNaN | \nNaN | \nsquared_hinge | \nNaN | \nNaN | \nNaN | \nNaN | \n
284 rows × 27 columns
\n\n | estimator | \nmin_score | \nmean_score | \nmax_score | \nstd_score | \nmean_fit_time | \nclf__C | \nclf__max_iter | \ndoc2vec__epochs | \ndoc2vec__vector_size | \n... | \nclf__alpha | \nclf__batch_size | \nclf__hidden_layer_sizes | \nclf__learning_rate | \nclf__solver | \nclf__loss | \nclf__normalize | \nclf__n_estimators | \nclf__max_samples | \nclf__algorithm | \n
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
237 | \nBaggingClassifier | \n0.372093 | \n0.394092 | \n0.416091 | \n0.0219989 | \n0.873702 | \nNaN | \nNaN | \n30 | \n40 | \n... | \nNaN | \nNaN | \nNaN | \nNaN | \nNaN | \nNaN | \nNaN | \n30 | \n1 | \nNaN | \n
257 | \nBaggingClassifier | \n0.351801 | \n0.3894 | \n0.427 | \n0.0375996 | \n1.29176 | \nNaN | \nNaN | \n30 | \n40 | \n... | \nNaN | \nNaN | \nNaN | \nNaN | \nNaN | \nNaN | \nNaN | \n100 | \n0.8 | \nNaN | \n
101 | \nLogisticRegression | \n0.354023 | \n0.364714 | \n0.375405 | \n0.0106912 | \n1.33549 | \n166.81 | \nNaN | \n30 | \n40 | \n... | \nNaN | \nNaN | \nNaN | \nNaN | \nlbfgs | \nNaN | \nNaN | \nNaN | \nNaN | \nNaN | \n
211 | \nRidgeClassifier | \n0.362534 | \n0.36471 | \n0.366886 | \n0.0021759 | \n0.554745 | \nNaN | \nNaN | \n30 | \n100 | \n... | \n1 | \nNaN | \nNaN | \nNaN | \nNaN | \nNaN | \nTrue | \nNaN | \nNaN | \nNaN | \n
255 | \nBaggingClassifier | \n0.350844 | \n0.364601 | \n0.378359 | \n0.0137578 | \n1.18378 | \nNaN | \nNaN | \n30 | \n100 | \n... | \nNaN | \nNaN | \nNaN | \nNaN | \nNaN | \nNaN | \nNaN | \n50 | \n0.8 | \nNaN | \n
... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n
161 | \nPassiveAggressiveClassifier | \n0.00679245 | \n0.00932215 | \n0.0118519 | \n0.0025297 | \n0.706125 | \n0 | \nNaN | \n30 | \n40 | \n... | \nNaN | \nNaN | \nNaN | \nNaN | \nNaN | \nsquared_hinge | \nNaN | \nNaN | \nNaN | \nNaN | \n
162 | \nPassiveAggressiveClassifier | \n0.00679245 | \n0.00932215 | \n0.0118519 | \n0.0025297 | \n0.715129 | \n0 | \nNaN | \n30 | \n100 | \n... | \nNaN | \nNaN | \nNaN | \nNaN | \nNaN | \nsquared_hinge | \nNaN | \nNaN | \nNaN | \nNaN | \n
163 | \nPassiveAggressiveClassifier | \n0.00679245 | \n0.00932215 | \n0.0118519 | \n0.0025297 | \n0.770728 | \n0 | \nNaN | \n30 | \n100 | \n... | \nNaN | \nNaN | \nNaN | \nNaN | \nNaN | \nsquared_hinge | \nNaN | \nNaN | \nNaN | \nNaN | \n
185 | \nPassiveAggressiveClassifier | \n0.00331738 | \n0.00758462 | \n0.0118519 | \n0.00426723 | \n0.746157 | \n1 | \nNaN | \n30 | \n40 | \n... | \nNaN | \nNaN | \nNaN | \nNaN | \nNaN | \nsquared_hinge | \nNaN | \nNaN | \nNaN | \nNaN | \n
186 | \nPassiveAggressiveClassifier | \n0.000784314 | \n0.000792157 | \n0.0008 | \n7.84314e-06 | \n1.17011 | \n1 | \nNaN | \n30 | \n100 | \n... | \nNaN | \nNaN | \nNaN | \nNaN | \nNaN | \nsquared_hinge | \nNaN | \nNaN | \nNaN | \nNaN | \n
284 rows × 27 columns
\n\n | estimator | \nmin_score | \nmean_score | \nmax_score | \nstd_score | \nmean_fit_time | \nclf__damping | \nclf__max_iter | \ndoc2vec__epochs | \ndoc2vec__vector_size | \ndoc2vec__window | \nclf__branching_factor | \nclf__n_clusters | \nclf__threshold | \nclf__init | \nclf__n_init | \nclf__bandwidth | \nclf__bin_seeding | \n
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
58 | \nKMeans | \n0.304215 | \n0.325436 | \n0.346657 | \n0.021221 | \n0.471002 | \nNaN | \nNaN | \n30 | \n100 | \n5 | \nNaN | \n10 | \nNaN | \nrandom | \n50 | \nNaN | \nNaN | \n
47 | \nKMeans | \n0.242306 | \n0.314168 | \n0.38603 | \n0.0718618 | \n0.634501 | \nNaN | \nNaN | \n30 | \n100 | \n10 | \nNaN | \n10 | \nNaN | \nk-means++ | \n50 | \nNaN | \nNaN | \n
57 | \nKMeans | \n0.259153 | \n0.303834 | \n0.348515 | \n0.0446809 | \n0.4615 | \nNaN | \nNaN | \n30 | \n40 | \n10 | \nNaN | \n10 | \nNaN | \nrandom | \n50 | \nNaN | \nNaN | \n
61 | \nKMeans | \n0.2281 | \n0.303038 | \n0.377976 | \n0.0749377 | \n0.659002 | \nNaN | \nNaN | \n30 | \n40 | \n10 | \nNaN | \n10 | \nNaN | \nrandom | \n100 | \nNaN | \nNaN | \n
44 | \nKMeans | \n0.233452 | \n0.301244 | \n0.369036 | \n0.0677921 | \n0.613 | \nNaN | \nNaN | \n30 | \n40 | \n5 | \nNaN | \n10 | \nNaN | \nk-means++ | \n50 | \nNaN | \nNaN | \n
... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n
21 | \nBirch | \n-9.76892e-17 | \n-4.88446e-17 | \n0 | \n4.88446e-17 | \n0.395503 | \nNaN | \nNaN | \n30 | \n40 | \n10 | \n50 | \n10 | \n0.75 | \nNaN | \nNaN | \nNaN | \nNaN | \n
20 | \nBirch | \n-9.76892e-17 | \n-4.88446e-17 | \n0 | \n4.88446e-17 | \n0.375498 | \nNaN | \nNaN | \n30 | \n40 | \n5 | \n50 | \n10 | \n0.75 | \nNaN | \nNaN | \nNaN | \nNaN | \n
19 | \nBirch | \n-9.76892e-17 | \n-4.88446e-17 | \n0 | \n4.88446e-17 | \n0.342 | \nNaN | \nNaN | \n30 | \n100 | \n10 | \n50 | \n10 | \n0.5 | \nNaN | \nNaN | \nNaN | \nNaN | \n
18 | \nBirch | \n-9.76892e-17 | \n-4.88446e-17 | \n0 | \n4.88446e-17 | \n0.345501 | \nNaN | \nNaN | \n30 | \n100 | \n5 | \n50 | \n10 | \n0.5 | \nNaN | \nNaN | \nNaN | \nNaN | \n
103 | \nMeanShift | \n-9.76892e-17 | \n-4.88446e-17 | \n0 | \n4.88446e-17 | \n0.327501 | \nNaN | \n600 | \n30 | \n100 | \n10 | \nNaN | \nNaN | \nNaN | \nNaN | \nNaN | \nNone | \nTrue | \n
104 rows × 18 columns
\n\n | estimator | \nmin_score | \nmean_score | \nmax_score | \nstd_score | \nmean_fit_time | \nclf__damping | \nclf__max_iter | \ndoc2vec__epochs | \ndoc2vec__vector_size | \ndoc2vec__window | \nclf__branching_factor | \nclf__n_clusters | \nclf__threshold | \nclf__init | \nclf__n_init | \nclf__bandwidth | \nclf__bin_seeding | \n
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
61 | \nKMeans | \n0.232905 | \n0.324491 | \n0.416076 | \n0.0915856 | \n1.30219 | \nNaN | \nNaN | \n30 | \n40 | \n10 | \nNaN | \n10 | \nNaN | \nrandom | \n100 | \nNaN | \nNaN | \n
45 | \nKMeans | \n0.256411 | \n0.294995 | \n0.333578 | \n0.0385838 | \n1.24087 | \nNaN | \nNaN | \n30 | \n40 | \n10 | \nNaN | \n10 | \nNaN | \nk-means++ | \n50 | \nNaN | \nNaN | \n
79 | \nMiniBatchKMeans | \n0.244463 | \n0.286252 | \n0.328041 | \n0.041789 | \n0.626127 | \nNaN | \nNaN | \n30 | \n100 | \n10 | \nNaN | \n10 | \nNaN | \nrandom | \n3 | \nNaN | \nNaN | \n
53 | \nKMeans | \n0.248486 | \n0.285797 | \n0.323108 | \n0.0373107 | \n0.848758 | \nNaN | \nNaN | \n30 | \n40 | \n10 | \nNaN | \n10 | \nNaN | \nrandom | \n10 | \nNaN | \nNaN | \n
48 | \nKMeans | \n0.23361 | \n0.285465 | \n0.33732 | \n0.0518552 | \n2.04786 | \nNaN | \nNaN | \n30 | \n40 | \n5 | \nNaN | \n10 | \nNaN | \nk-means++ | \n100 | \nNaN | \nNaN | \n
... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n
96 | \nMeanShift | \n0 | \n0 | \n0 | \n0 | \n0.64322 | \nNaN | \n300 | \n30 | \n40 | \n5 | \nNaN | \nNaN | \nNaN | \nNaN | \nNaN | \nNone | \nTrue | \n
14 | \nAffinityPropagation | \n0 | \n0 | \n0 | \n0 | \n1.0246 | \n0.9 | \n600 | \n30 | \n100 | \n5 | \nNaN | \nNaN | \nNaN | \nNaN | \nNaN | \nNaN | \nNaN | \n
26 | \nBirch | \n0 | \n0 | \n0 | \n0 | \n0.637402 | \nNaN | \nNaN | \n30 | \n100 | \n5 | \n50 | \n10 | \n1 | \nNaN | \nNaN | \nNaN | \nNaN | \n
24 | \nBirch | \n0 | \n0 | \n0 | \n0 | \n0.641205 | \nNaN | \nNaN | \n30 | \n40 | \n5 | \n50 | \n10 | \n1 | \nNaN | \nNaN | \nNaN | \nNaN | \n
103 | \nMeanShift | \n0 | \n0 | \n0 | \n0 | \n0.587775 | \nNaN | \n600 | \n30 | \n100 | \n10 | \nNaN | \nNaN | \nNaN | \nNaN | \nNaN | \nNone | \nTrue | \n
104 rows × 18 columns
\n