diff --git a/docker-compose.yml b/docker-compose.yml
index 3f0eae9..fd1b944 100644
--- a/docker-compose.yml
+++ b/docker-compose.yml
@@ -35,7 +35,7 @@ services:
OCR_SERVICE_MODE: "MODEL"
#OCR_SERVICE_MAXFILESIZE: "1048576"
#OCR_PDF_MODE: "OCR_ONLY | TEXT_ONLY | TEXT_AND_OCR (default)"
- OCR_PDF_MODE: "TEXT_AND_OCR"
+ OCR_PDF_MODE: "OCR_ONLY"
ML_SERVICE_ENDPOINT: "http://imixs-ml-spacy:8000/"
# Enable Training Scheduler
#ML_TRAINNG_SCHEDULER_ENABLED: "true"
@@ -90,7 +90,7 @@ services:
TZ: "Europe/Berlin"
OCR_SERVICE_ENDPOINT: "http://tika:9998/tika"
#OCR_PDF_MODE: "OCR_ONLY | TEXT_ONLY | TEXT_AND_OCR (default)"
- OCR_PDF_MODE: "TEXT_AND_OCR"
+ OCR_PDF_MODE: "OCR_ONLY"
# Payara-Micor ENV
MP_OPENAPI_SERVERS: "http://localhost:8081"
ports:
@@ -123,8 +123,10 @@ services:
# image: thecodingmachine/gotenberg:6
# ports:
# - "3000:3000"
-
-
volumes:
- dbdata:
\ No newline at end of file
+ dbdata:
+
+
+
+
diff --git a/models/TEST_PROTOKOLL.md b/models/TEST_PROTOKOLL.md
new file mode 100644
index 0000000..86401ac
--- /dev/null
+++ b/models/TEST_PROTOKOLL.md
@@ -0,0 +1,491 @@
+# Test Protokoll Alexander Logistic invoice-de-0.1.0
+
+
+**Validierung**
+f4eaceda-f28a-4394-928e-1a05daaf2760
+a5d1e7fe-d74a-4fa2-9b06-3221865759fa
+c0290497-f613-4492-81b6-4ae1e1680029
+d8e3fce4-d11c-46a4-8ba0-369b4c6e902f
+8b766f35-828a-41f1-be04-00b4b62da4d0
+
+
+
+**********************************************************************
+** invoice-de-0.1.0-falsemodell
+**12.10.2021 15:50** (sort order created)
+**********************************************************************
+workflow.query ($workflowgroup:"Rechnungseingang" OR $workflowgroup:"Sachrechnung") AND ($taskid:5900)
+workflow.pagesize 500
+ml.training.filepattern .pdf
+ml.training.iterations 10
+ml.training.dropoutrate 0,25
+multiOccurrence false
+ml.training.quality LOW
+min_losses 0
+
+RESULT
+ -----------------------------------------------------------------------
+imixs-ml-training_1 | ......documents trained in total = 375
+imixs-ml-training_1 | ...... quality level GOOD = 53.33% (200)
+imixs-ml-training_1 | ...... quality level LOW = 31.47% (118)
+imixs-ml-training_1 | ...... quality level BAD = 15.2% (57)
+imixs-ml-training_1 | ...... average NER = 17.195895012525614
+imixs-ml-training_1 |
+imixs-ml-training_1 | ......documents trained in total = 375
+imixs-ml-training_1 | ...... quality level GOOD = 51.73% (194)
+imixs-ml-training_1 | ...... quality level LOW = 32.8% (123)
+imixs-ml-training_1 | ...... quality level BAD = 15.47% (58)
+imixs-ml-training_1 | ...... average NER = 6.50170386961344
+imixs-ml-training_1 |
+imixs-ml-training_1 | ......documents trained in total = 375
+imixs-ml-training_1 | ...... quality level GOOD = 53.87% (202)
+imixs-ml-training_1 | ...... quality level LOW = 31.73% (119)
+imixs-ml-training_1 | ...... quality level BAD = 14.4% (54)
+imixs-ml-training_1 | ...... average NER = 4.8940276912225
+imixs-ml-training_1 |
+imixs-ml-training_1 | ......documents trained in total = 375
+imixs-ml-training_1 | ...... quality level GOOD = 52.8% (198)
+imixs-ml-training_1 | ...... quality level LOW = 32% (120)
+imixs-ml-training_1 | ...... quality level BAD = 15.2% (57)
+imixs-ml-training_1 | ...... average NER = 3.9605563888416824
+imixs-ml-training_1 |
+imixs-ml-training_1 | ......documents trained in total = 375
+imixs-ml-training_1 | ...... quality level GOOD = 54.13% (203)
+imixs-ml-training_1 | ...... quality level LOW = 29.6% (111)
+imixs-ml-training_1 | ...... quality level BAD = 16.27% (61)
+imixs-ml-training_1 | ...... average NER = 3.744507591826106
+imixs-ml-training_1 |
+imixs-ml-training_1 | ......documents trained in total = 375
+imixs-ml-training_1 | ...... quality level GOOD = 53.07% (199)
+imixs-ml-training_1 | ...... quality level LOW = 31.2% (117)
+imixs-ml-training_1 | ...... quality level BAD = 15.73% (59)
+imixs-ml-training_1 | ...... average NER = 2.8395576715820736
+imixs-ml-training_1 |
+imixs-ml-training_1 | ......documents trained in total = 375
+imixs-ml-training_1 | ...... quality level GOOD = 53.87% (202)
+imixs-ml-training_1 | ...... quality level LOW = 32% (120)
+imixs-ml-training_1 | ...... quality level BAD = 14.13% (53)
+imixs-ml-training_1 | ...... average NER = 2.6799682681142363
+imixs-ml-training_1 |
+imixs-ml-training_1 | ......documents trained in total = 375
+imixs-ml-training_1 | ...... quality level GOOD = 53.6% (201)
+imixs-ml-training_1 | ...... quality level LOW = 31.47% (118)
+imixs-ml-training_1 | ...... quality level BAD = 14.93% (56)
+imixs-ml-training_1 | ...... average NER = 2.520244211218683
+imixs-ml-training_1 |
+imixs-ml-training_1 | ......documents trained in total = 375
+imixs-ml-training_1 | ...... quality level GOOD = 49.33% (185)
+imixs-ml-training_1 | ...... quality level LOW = 34.93% (131)
+imixs-ml-training_1 | ...... quality level BAD = 15.73% (59)
+imixs-ml-training_1 | ...... average NER = 2.1511980661715193
+imixs-ml-training_1 |
+imixs-ml-training_1 | ......documents trained in total = 375
+imixs-ml-training_1 | ...... quality level GOOD = 53.87% (202)
+imixs-ml-training_1 | ...... quality level LOW = 31.2% (117)
+imixs-ml-training_1 | ...... quality level BAD = 14.93% (56)
+imixs-ml-training_1 | ...... average NER = 2.2739690429824475
+
+
+
+**13.10.2021 12:00**
+workflow.query ($workflowgroup:"Rechnungseingang" OR $workflowgroup:"Sachrechnung") AND ($taskid:5900)
+workflow.pagesize 500
+ml.training.filepattern .pdf|.PDF
+ml.training.iterations 10
+ml.training.dropoutrate 0,25
+multiOccurrence false
+ml.training.quality LOW
+min_losses 0
+
+imixs-ml-training_1 | ......documents trained in total = 375
+imixs-ml-training_1 | ...... quality level GOOD = 61.33% (230)
+imixs-ml-training_1 | ...... quality level LOW = 38.67% (145)
+imixs-ml-training_1 | ...... quality level BAD = 0% (0)
+imixs-ml-training_1 | ...... average NER = 3.790466332166552
+imixs-ml-training_1 |
+imixs-ml-training_1 | ......documents trained in total = 375
+imixs-ml-training_1 | ...... quality level GOOD = 61.07% (229)
+imixs-ml-training_1 | ...... quality level LOW = 38.93% (146)
+imixs-ml-training_1 | ...... quality level BAD = 0% (0)
+imixs-ml-training_1 | ...... average NER = 3.160620521438082
+imixs-ml-training_1 |
+imixs-ml-training_1 | ......documents trained in total = 375
+imixs-ml-training_1 | ...... quality level GOOD = 58.13% (218)
+imixs-ml-training_1 | ...... quality level LOW = 41.87% (157)
+imixs-ml-training_1 | ...... quality level BAD = 0% (0)
+imixs-ml-training_1 | ...... average NER = 2.636420357788331
+imixs-ml-training_1 |
+imixs-ml-training_1 | ......documents trained in total = 375
+imixs-ml-training_1 | ...... quality level GOOD = 58.13% (218)
+imixs-ml-training_1 | ...... quality level LOW = 41.87% (157)
+imixs-ml-training_1 | ...... quality level BAD = 0% (0)
+imixs-ml-training_1 | ...... average NER = 2.506552163520219
+imixs-ml-training_1 |
+imixs-ml-training_1 | ......documents trained in total = 375
+imixs-ml-training_1 | ...... quality level GOOD = 58.93% (221)
+imixs-ml-training_1 | ...... quality level LOW = 41.07% (154)
+imixs-ml-training_1 | ...... quality level BAD = 0% (0)
+imixs-ml-training_1 | ...... average NER = 2.3495061575286793
+imixs-ml-training_1 |
+imixs-ml-training_1 | ......documents trained in total = 375
+imixs-ml-training_1 | ...... quality level GOOD = 59.47% (223)
+imixs-ml-training_1 | ...... quality level LOW = 40.53% (152)
+imixs-ml-training_1 | ...... quality level BAD = 0% (0)
+imixs-ml-training_1 | ...... average NER = 1.9351332692220107
+imixs-ml-training_1 |
+imixs-ml-training_1 | ......documents trained in total = 375
+imixs-ml-training_1 | ...... quality level GOOD = 61.33% (230)
+imixs-ml-training_1 | ...... quality level LOW = 38.67% (145)
+imixs-ml-training_1 | ...... quality level BAD = 0% (0)
+imixs-ml-training_1 | ...... average NER = 1.8881396005118698
+imixs-ml-training_1 |
+imixs-ml-training_1 | ......documents trained in total = 375
+imixs-ml-training_1 | ...... quality level GOOD = 57.87% (217)
+imixs-ml-training_1 | ...... quality level LOW = 42.13% (158)
+imixs-ml-training_1 | ...... quality level BAD = 0% (0)
+imixs-ml-training_1 | ...... average NER = 1.9754112840739593
+imixs-ml-training_1 |
+imixs-ml-training_1 | ......documents trained in total = 375
+imixs-ml-training_1 | ...... quality level GOOD = 59.73% (224)
+imixs-ml-training_1 | ...... quality level LOW = 40.27% (151)
+imixs-ml-training_1 | ...... quality level BAD = 0% (0)
+imixs-ml-training_1 | ...... average NER = 1.7839739270522237
+imixs-ml-training_1 |
+imixs-ml-training_1 | ......documents trained in total = 375
+imixs-ml-training_1 | ...... quality level GOOD = 59.73% (224)
+imixs-ml-training_1 | ...... quality level LOW = 40.27% (151)
+imixs-ml-training_1 | ...... quality level BAD = 0% (0)
+imixs-ml-training_1 | ...... average NER = 1.6024293913431429
+
+
+
+
+**********************************************************************
+** invoice-de-0.1.0
+**12.10.2021 15:50** (sort order created)
+**********************************************************************
+workflow.query ($workflowgroup:"Rechnungseingang" OR $workflowgroup:"Sachrechnung") AND ($taskid:5900)
+workflow.pagesize 500
+ml.training.filepattern .pdf|.PDF
+ml.training.iterations 10
+ml.training.dropoutrate 0,25
+multiOccurrence true
+ml.training.quality LOW
+min_losses 0
+
+
+
+imixs-ml-training_1 |
+imixs-ml-training_1 | ......documents trained in total = 375
+imixs-ml-training_1 | ...... quality level GOOD = 68.27% (256)
+imixs-ml-training_1 | ...... quality level LOW = 31.47% (118)
+imixs-ml-training_1 | ...... quality level BAD = 0.27% (1)
+imixs-ml-training_1 | ...... average NER = 21.57255353509432
+imixs-ml-training_1 |
+imixs-ml-training_1 | ......documents trained in total = 375
+imixs-ml-training_1 | ...... quality level GOOD = 67.73% (254)
+imixs-ml-training_1 | ...... quality level LOW = 32.27% (121)
+imixs-ml-training_1 | ...... quality level BAD = 0% (0)
+imixs-ml-training_1 | ...... average NER = 8.249835149395697
+imixs-ml-training_1 |
+imixs-ml-training_1 | ......documents trained in total = 375
+imixs-ml-training_1 | ...... quality level GOOD = 68.53% (257)
+imixs-ml-training_1 | ...... quality level LOW = 31.2% (117)
+imixs-ml-training_1 | ...... quality level BAD = 0.27% (1)
+imixs-ml-training_1 | ...... average NER = 5.892598287488733
+imixs-ml-training_1 |
+imixs-ml-training_1 | ......documents trained in total = 375
+imixs-ml-training_1 | ...... quality level GOOD = 68.53% (257)
+imixs-ml-training_1 | ...... quality level LOW = 31.2% (117)
+imixs-ml-training_1 | ...... quality level BAD = 0.27% (1)
+imixs-ml-training_1 | ...... average NER = 4.964129124089013
+imixs-ml-training_1 |
+imixs-ml-training_1 | ......documents trained in total = 375
+imixs-ml-training_1 | ...... quality level GOOD = 68.53% (257)
+imixs-ml-training_1 | ...... quality level LOW = 31.2% (117)
+imixs-ml-training_1 | ...... quality level BAD = 0.27% (1)
+imixs-ml-training_1 | ...... average NER = 3.5603186705177947
+imixs-ml-training_1 |
+imixs-ml-training_1 | ......documents trained in total = 375
+imixs-ml-training_1 | ...... quality level GOOD = 67.2% (252)
+imixs-ml-training_1 | ...... quality level LOW = 32.53% (122)
+imixs-ml-training_1 | ...... quality level BAD = 0.27% (1)
+imixs-ml-training_1 | ...... average NER = 2.692053828307031
+imixs-ml-training_1 |
+imixs-ml-training_1 | ......documents trained in total = 375
+imixs-ml-training_1 | ...... quality level GOOD = 68% (255)
+imixs-ml-training_1 | ...... quality level LOW = 31.73% (119)
+imixs-ml-training_1 | ...... quality level BAD = 0.27% (1)
+imixs-ml-training_1 | ...... average NER = 2.3509401762802873
+imixs-ml-training_1 |
+imixs-ml-training_1 | ......documents trained in total = 375
+imixs-ml-training_1 | ...... quality level GOOD = 65.87% (247)
+imixs-ml-training_1 | ...... quality level LOW = 34.13% (128)
+imixs-ml-training_1 | ...... quality level BAD = 0% (0)
+imixs-ml-training_1 | ...... average NER = 2.2695994889458104
+imixs-ml-training_1 |
+imixs-ml-training_1 | ......documents trained in total = 375
+imixs-ml-training_1 | ...... quality level GOOD = 68.27% (256)
+imixs-ml-training_1 | ...... quality level LOW = 31.47% (118)
+imixs-ml-training_1 | ...... quality level BAD = 0.27% (1)
+imixs-ml-training_1 | ...... average NER = 1.844410364015416
+imixs-ml-training_1 |
+imixs-ml-training_1 | ......documents trained in total = 375
+imixs-ml-training_1 | ...... quality level GOOD = 70.67% (265)
+imixs-ml-training_1 | ...... quality level LOW = 29.07% (109)
+imixs-ml-training_1 | ...... quality level BAD = 0.27% (1)
+imixs-ml-training_1 | ...... average NER = 1.6153951610034658
+
+
+page=1 (count=500)
+--------------------------------
+imixs-ml-training_1 | ......documents trained in total = 375
+imixs-ml-training_1 | ...... quality level GOOD = 69.6% (261)
+imixs-ml-training_1 | ...... quality level LOW = 30.4% (114)
+imixs-ml-training_1 | ...... quality level BAD = 0% (0)
+imixs-ml-training_1 | ...... average NER = 7.093659738880595
+imixs-ml-training_1 |
+imixs-ml-training_1 | ......documents trained in total = 375
+imixs-ml-training_1 | ...... quality level GOOD = 66.4% (249)
+imixs-ml-training_1 | ...... quality level LOW = 33.6% (126)
+imixs-ml-training_1 | ...... quality level BAD = 0% (0)
+imixs-ml-training_1 | ...... average NER = 5.201780406598962
+imixs-ml-training_1 |
+imixs-ml-training_1 | ......documents trained in total = 375
+imixs-ml-training_1 | ...... quality level GOOD = 68.27% (256)
+imixs-ml-training_1 | ...... quality level LOW = 31.73% (119)
+imixs-ml-training_1 | ...... quality level BAD = 0% (0)
+imixs-ml-training_1 | ...... average NER = 3.8116329003426204
+imixs-ml-training_1 |
+imixs-ml-training_1 | ......documents trained in total = 375
+imixs-ml-training_1 | ...... quality level GOOD = 66.67% (250)
+imixs-ml-training_1 | ...... quality level LOW = 33.33% (125)
+imixs-ml-training_1 | ...... quality level BAD = 0% (0)
+imixs-ml-training_1 | ...... average NER = 3.3164488404836154
+imixs-ml-training_1 |
+imixs-ml-training_1 | ......documents trained in total = 375
+imixs-ml-training_1 | ...... quality level GOOD = 66.93% (251)
+imixs-ml-training_1 | ...... quality level LOW = 33.07% (124)
+imixs-ml-training_1 | ...... quality level BAD = 0% (0)
+imixs-ml-training_1 | ...... average NER = 2.7822570929398576
+imixs-ml-training_1 |
+imixs-ml-training_1 | ......documents trained in total = 375
+imixs-ml-training_1 | ...... quality level GOOD = 69.07% (259)
+imixs-ml-training_1 | ...... quality level LOW = 30.93% (116)
+imixs-ml-training_1 | ...... quality level BAD = 0% (0)
+imixs-ml-training_1 | ...... average NER = 2.31773083524846
+imixs-ml-training_1 |
+imixs-ml-training_1 | ......documents trained in total = 375
+imixs-ml-training_1 | ...... quality level GOOD = 68.8% (258)
+imixs-ml-training_1 | ...... quality level LOW = 31.2% (117)
+imixs-ml-training_1 | ...... quality level BAD = 0% (0)
+imixs-ml-training_1 | ...... average NER = 2.165804551920185
+imixs-ml-training_1 |
+imixs-ml-training_1 | ......documents trained in total = 375
+imixs-ml-training_1 | ...... quality level GOOD = 66.4% (249)
+imixs-ml-training_1 | ...... quality level LOW = 33.6% (126)
+imixs-ml-training_1 | ...... quality level BAD = 0% (0)
+imixs-ml-training_1 | ...... average NER = 1.9591955652007715
+imixs-ml-training_1 |
+imixs-ml-training_1 | ......documents trained in total = 375
+imixs-ml-training_1 | ...... quality level GOOD = 66.4% (249)
+imixs-ml-training_1 | ...... quality level LOW = 33.6% (126)
+imixs-ml-training_1 | ...... quality level BAD = 0% (0)
+imixs-ml-training_1 | ...... average NER = 1.5473874007025803
+imixs-ml-training_1 |
+imixs-ml-training_1 | ......documents trained in total = 375
+imixs-ml-training_1 | ...... quality level GOOD = 65.87% (247)
+imixs-ml-training_1 | ...... quality level LOW = 34.13% (128)
+imixs-ml-training_1 | ...... quality level BAD = 0% (0)
+imixs-ml-training_1 | ...... average NER = 1.705957084193204
+imixs-ml-training_1 | |#]
+imixs-ml-training_1 |
+
+page=0 (count=1000)
+--------------------------------
+imixs-ml-training_1 |
+imixs-ml-training_1 | ......documents trained in total = 750
+imixs-ml-training_1 | ...... quality level GOOD = 67.47% (506)
+imixs-ml-training_1 | ...... quality level LOW = 32.53% (244)
+imixs-ml-training_1 | ...... quality level BAD = 0% (0)
+imixs-ml-training_1 | ...... average NER = 3.2147245242951565
+imixs-ml-training_1 |
+imixs-ml-training_1 | ......documents trained in total = 750
+imixs-ml-training_1 | ...... quality level GOOD = 68.8% (516)
+imixs-ml-training_1 | ...... quality level LOW = 31.07% (233)
+imixs-ml-training_1 | ...... quality level BAD = 0.13% (1)
+imixs-ml-training_1 | ...... average NER = 2.2084385109690565
+imixs-ml-training_1 |
+imixs-ml-training_1 | ......documents trained in total = 750
+imixs-ml-training_1 | ...... quality level GOOD = 67.73% (508)
+imixs-ml-training_1 | ...... quality level LOW = 32.27% (242)
+imixs-ml-training_1 | ...... quality level BAD = 0% (0)
+imixs-ml-training_1 | ...... average NER = 2.1797281610496464
+imixs-ml-training_1 |
+imixs-ml-training_1 | ......documents trained in total = 750
+imixs-ml-training_1 | ...... quality level GOOD = 67.2% (504)
+imixs-ml-training_1 | ...... quality level LOW = 32.67% (245)
+imixs-ml-training_1 | ...... quality level BAD = 0.13% (1)
+imixs-ml-training_1 | ...... average NER = 1.8908819163368502
+imixs-ml-training_1 |
+imixs-ml-training_1 | ......documents trained in total = 750
+imixs-ml-training_1 | ...... quality level GOOD = 66% (495)
+imixs-ml-training_1 | ...... quality level LOW = 33.87% (254)
+imixs-ml-training_1 | ...... quality level BAD = 0.13% (1)
+imixs-ml-training_1 | ...... average NER = 1.7774978150912477
+imixs-ml-training_1 |
+imixs-ml-training_1 | ......documents trained in total = 750
+imixs-ml-training_1 | ...... quality level GOOD = 67.6% (507)
+imixs-ml-training_1 | ...... quality level LOW = 32.27% (242)
+imixs-ml-training_1 | ...... quality level BAD = 0.13% (1)
+imixs-ml-training_1 | ...... average NER = 1.669098427922433
+imixs-ml-training_1 |
+imixs-ml-training_1 | ......documents trained in total = 750
+imixs-ml-training_1 | ...... quality level GOOD = 67.33% (505)
+imixs-ml-training_1 | ...... quality level LOW = 32.53% (244)
+imixs-ml-training_1 | ...... quality level BAD = 0.13% (1)
+imixs-ml-training_1 | ...... average NER = 1.6048149396167861
+imixs-ml-training_1 |
+imixs-ml-training_1 | ......documents trained in total = 750
+imixs-ml-training_1 | ...... quality level GOOD = 67.6% (507)
+imixs-ml-training_1 | ...... quality level LOW = 32.27% (242)
+imixs-ml-training_1 | ...... quality level BAD = 0.13% (1)
+imixs-ml-training_1 | ...... average NER = 1.4026393956412981
+imixs-ml-training_1 |
+imixs-ml-training_1 | ......documents trained in total = 750
+imixs-ml-training_1 | ...... quality level GOOD = 67.87% (509)
+imixs-ml-training_1 | ...... quality level LOW = 32% (240)
+imixs-ml-training_1 | ...... quality level BAD = 0.13% (1)
+imixs-ml-training_1 | ...... average NER = 1.1139796046407426
+imixs-ml-training_1 |
+imixs-ml-training_1 | ......documents trained in total = 750
+imixs-ml-training_1 | ...... quality level GOOD = 65.87% (494)
+imixs-ml-training_1 | ...... quality level LOW = 34% (255)
+imixs-ml-training_1 | ...... quality level BAD = 0.13% (1)
+imixs-ml-training_1 | ...... average NER = 1.2621875029460226
+
+
+
+page=1 (count=1000)
+--------------------------------
+imixs-ml-training_1 | ......documents trained in total = 750
+imixs-ml-training_1 | ...... quality level GOOD = 63.47% (476)
+imixs-ml-training_1 | ...... quality level LOW = 36.4% (273)
+imixs-ml-training_1 | ...... quality level BAD = 0.13% (1)
+imixs-ml-training_1 | ...... average NER = 3.7501272727903876
+imixs-ml-training_1 |
+imixs-ml-training_1 | ......documents trained in total = 750
+imixs-ml-training_1 | ...... quality level GOOD = 64% (480)
+imixs-ml-training_1 | ...... quality level LOW = 35.87% (269)
+imixs-ml-training_1 | ...... quality level BAD = 0.13% (1)
+imixs-ml-training_1 | ...... average NER = 2.7749715296165482
+imixs-ml-training_1 |
+imixs-ml-training_1 | ......documents trained in total = 750
+imixs-ml-training_1 | ...... quality level GOOD = 65.47% (491)
+imixs-ml-training_1 | ...... quality level LOW = 34.27% (257)
+imixs-ml-training_1 | ...... quality level BAD = 0.27% (2)
+imixs-ml-training_1 | ...... average NER = 2.191986221088383
+imixs-ml-training_1 |
+imixs-ml-training_1 | ......documents trained in total = 750
+imixs-ml-training_1 | ...... quality level GOOD = 63.2% (474)
+imixs-ml-training_1 | ...... quality level LOW = 36.53% (274)
+imixs-ml-training_1 | ...... quality level BAD = 0.27% (2)
+imixs-ml-training_1 | ...... average NER = 1.836000005105162
+imixs-ml-training_1 |
+imixs-ml-training_1 | ......documents trained in total = 750
+imixs-ml-training_1 | ...... quality level GOOD = 64.8% (486)
+imixs-ml-training_1 | ...... quality level LOW = 34.93% (262)
+imixs-ml-training_1 | ...... quality level BAD = 0.27% (2)
+imixs-ml-training_1 | ...... average NER = 1.629252182245437
+imixs-ml-training_1 |
+imixs-ml-training_1 | ......documents trained in total = 750
+imixs-ml-training_1 | ...... quality level GOOD = 64.27% (482)
+imixs-ml-training_1 | ...... quality level LOW = 35.47% (266)
+imixs-ml-training_1 | ...... quality level BAD = 0.27% (2)
+imixs-ml-training_1 | ...... average NER = 1.5023185259959349
+imixs-ml-training_1 |
+imixs-ml-training_1 | ......documents trained in total = 750
+imixs-ml-training_1 | ...... quality level GOOD = 63.6% (477)
+imixs-ml-training_1 | ...... quality level LOW = 36.13% (271)
+imixs-ml-training_1 | ...... quality level BAD = 0.27% (2)
+imixs-ml-training_1 | ...... average NER = 1.1618358977500587
+imixs-ml-training_1 |
+imixs-ml-training_1 | ......documents trained in total = 750
+imixs-ml-training_1 | ...... quality level GOOD = 64.93% (487)
+imixs-ml-training_1 | ...... quality level LOW = 34.93% (262)
+imixs-ml-training_1 | ...... quality level BAD = 0.13% (1)
+imixs-ml-training_1 | ...... average NER = 1.1362052688492958
+imixs-ml-training_1 |
+imixs-ml-training_1 | ......documents trained in total = 750
+imixs-ml-training_1 | ...... quality level GOOD = 64.4% (483)
+imixs-ml-training_1 | ...... quality level LOW = 35.33% (265)
+imixs-ml-training_1 | ...... quality level BAD = 0.27% (2)
+imixs-ml-training_1 | ...... average NER = 1.0497074333838767
+imixs-ml-training_1 |
+imixs-ml-training_1 | ......documents trained in total = 750
+imixs-ml-training_1 | ...... quality level GOOD = 65.33% (490)
+imixs-ml-training_1 | ...... quality level LOW = 34.4% (258)
+imixs-ml-training_1 | ...... quality level BAD = 0.27% (2)
+imixs-ml-training_1 | ...... average NER = 0.8865013575787167
+
+page=1 (count=1000)
+--------------------------------
+imixs-ml-training_1 | ......documents trained in total = 750
+imixs-ml-training_1 | ...... quality level GOOD = 63.33% (475)
+imixs-ml-training_1 | ...... quality level LOW = 36.4% (273)
+imixs-ml-training_1 | ...... quality level BAD = 0.27% (2)
+imixs-ml-training_1 | ...... average NER = 1.6325150460009787
+imixs-ml-training_1 |
+imixs-ml-training_1 | ......documents trained in total = 750
+imixs-ml-training_1 | ...... quality level GOOD = 61.73% (463)
+imixs-ml-training_1 | ...... quality level LOW = 38% (285)
+imixs-ml-training_1 | ...... quality level BAD = 0.27% (2)
+imixs-ml-training_1 | ...... average NER = 1.5385085364524884
+imixs-ml-training_1 |
+imixs-ml-training_1 | ......documents trained in total = 750
+imixs-ml-training_1 | ...... quality level GOOD = 63.6% (477)
+imixs-ml-training_1 | ...... quality level LOW = 36.13% (271)
+imixs-ml-training_1 | ...... quality level BAD = 0.27% (2)
+imixs-ml-training_1 | ...... average NER = 1.343965340697668
+imixs-ml-training_1 |
+imixs-ml-training_1 | ......documents trained in total = 750
+imixs-ml-training_1 | ...... quality level GOOD = 64.13% (481)
+imixs-ml-training_1 | ...... quality level LOW = 35.73% (268)
+imixs-ml-training_1 | ...... quality level BAD = 0.13% (1)
+imixs-ml-training_1 | ...... average NER = 1.1842750119930687
+imixs-ml-training_1 |
+imixs-ml-training_1 | ......documents trained in total = 750
+imixs-ml-training_1 | ...... quality level GOOD = 63.73% (478)
+imixs-ml-training_1 | ...... quality level LOW = 36% (270)
+imixs-ml-training_1 | ...... quality level BAD = 0.27% (2)
+imixs-ml-training_1 | ...... average NER = 1.112559219903824
+imixs-ml-training_1 |
+imixs-ml-training_1 | ......documents trained in total = 750
+imixs-ml-training_1 | ...... quality level GOOD = 62.8% (471)
+imixs-ml-training_1 | ...... quality level LOW = 36.93% (277)
+imixs-ml-training_1 | ...... quality level BAD = 0.27% (2)
+imixs-ml-training_1 | ...... average NER = 0.9444137586901881
+imixs-ml-training_1 |
+imixs-ml-training_1 | ......documents trained in total = 750
+imixs-ml-training_1 | ...... quality level GOOD = 64% (480)
+imixs-ml-training_1 | ...... quality level LOW = 35.73% (268)
+imixs-ml-training_1 | ...... quality level BAD = 0.27% (2)
+imixs-ml-training_1 | ...... average NER = 0.9175624525798468
+imixs-ml-training_1 |
+imixs-ml-training_1 | ......documents trained in total = 750
+imixs-ml-training_1 | ...... quality level GOOD = 63.47% (476)
+imixs-ml-training_1 | ...... quality level LOW = 36.27% (272)
+imixs-ml-training_1 | ...... quality level BAD = 0.27% (2)
+imixs-ml-training_1 | ...... average NER = 0.8877949306723629
+imixs-ml-training_1 |
+imixs-ml-training_1 | ......documents trained in total = 750
+imixs-ml-training_1 | ...... quality level GOOD = 62.53% (469)
+imixs-ml-training_1 | ...... quality level LOW = 37.2% (279)
+imixs-ml-training_1 | ...... quality level BAD = 0.27% (2)
+imixs-ml-training_1 | ...... average NER = 0.7669201996298972
+imixs-ml-training_1 |
+imixs-ml-training_1 | ......documents trained in total = 750
+imixs-ml-training_1 | ...... quality level GOOD = 62.8% (471)
+imixs-ml-training_1 | ...... quality level LOW = 37.07% (278)
+imixs-ml-training_1 | ...... quality level BAD = 0.13% (1)
+imixs-ml-training_1 | ...... average NER = 0.7161310708827515
diff --git a/models/invoice-de-0.1.0-dev24-03-2021/meta.json b/models/invoice-de-0.1.0-dev24-03-2021/meta.json
deleted file mode 100644
index c5f5205..0000000
--- a/models/invoice-de-0.1.0-dev24-03-2021/meta.json
+++ /dev/null
@@ -1,37 +0,0 @@
-{
- "lang":"de",
- "name":"pipeline",
- "version":"0.0.0",
- "spacy_version":">=3.0.1,<3.1.0",
- "description":"",
- "author":"",
- "email":"",
- "url":"",
- "license":"",
- "spacy_git_version":"91a3cab1c",
- "vectors":{
- "width":0,
- "vectors":0,
- "keys":0,
- "name":null
- },
- "labels":{
- "ner":[
- "cdtr.bic",
- "cdtr.iban",
- "cdtr.name",
- "invoice.date",
- "invoice.number",
- "invoice.total"
- ]
- },
- "pipeline":[
- "ner"
- ],
- "components":[
- "ner"
- ],
- "disabled":[
-
- ]
-}
\ No newline at end of file
diff --git a/models/invoice-de-0.1.0-dev24-03-2021/ner/cfg b/models/invoice-de-0.1.0-dev24-03-2021/ner/cfg
deleted file mode 100644
index dff1b33..0000000
--- a/models/invoice-de-0.1.0-dev24-03-2021/ner/cfg
+++ /dev/null
@@ -1,12 +0,0 @@
-{
- "moves":null,
- "update_with_oracle_cut_size":100,
- "multitasks":[
-
- ],
- "min_action_freq":1,
- "learn_tokens":false,
- "beam_width":1,
- "beam_density":0.0,
- "beam_update_prob":0.0
-}
\ No newline at end of file
diff --git a/models/invoice-de-0.1.0-dev24-03-2021/ner/model b/models/invoice-de-0.1.0-dev24-03-2021/ner/model
deleted file mode 100644
index 0d6aeb1..0000000
Binary files a/models/invoice-de-0.1.0-dev24-03-2021/ner/model and /dev/null differ
diff --git a/models/invoice-de-0.1.0-dev24-03-2021/ner/moves b/models/invoice-de-0.1.0-dev24-03-2021/ner/moves
deleted file mode 100644
index 9b7aae2..0000000
--- a/models/invoice-de-0.1.0-dev24-03-2021/ner/moves
+++ /dev/null
@@ -1 +0,0 @@
-moves{"0":{},"1":{"cdtr.iban":-1,"cdtr.bic":-2,"cdtr.name":-3,"invoice.total":-4,"invoice.number":-5,"invoice.date":-6},"2":{"cdtr.iban":-1,"cdtr.bic":-2,"cdtr.name":-3,"invoice.total":-4,"invoice.number":-5,"invoice.date":-6},"3":{"cdtr.iban":-1,"cdtr.bic":-2,"cdtr.name":-3,"invoice.total":-4,"invoice.number":-5,"invoice.date":-6},"4":{"":1,"cdtr.iban":-1,"cdtr.bic":-2,"cdtr.name":-3,"invoice.total":-4,"invoice.number":-5,"invoice.date":-6},"5":{"":1}}
\ No newline at end of file
diff --git a/models/invoice-de-0.1.0-dev24-03-2021/tokenizer b/models/invoice-de-0.1.0-dev24-03-2021/tokenizer
deleted file mode 100644
index 6cfb24d..0000000
--- a/models/invoice-de-0.1.0-dev24-03-2021/tokenizer
+++ /dev/null
@@ -1,4 +0,0 @@
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- "wygenerowane",
- "wygenerowano",
+ "wydzial",
"wygenerowany",
- "wyhavins",
- "wyhoninhis",
- "wyieacay",
- "wyiiak",
"wyjasnienia",
- "wyjatkiem",
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- "wyjazdU",
- "wyjazdu",
- "wyjazd\u00fc",
- "wyk",
- "wyk.uslugi",
- "wykonang",
+ "wyja\u015bnienia",
+ "wyk.ustugi",
"wykonania",
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- "wyladowano",
"wyladunku",
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- "wyllaite",
- "wylohy",
"wym",
"wymagamy",
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- "wymianie",
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- "wyn",
- "wynikajacych",
"wyo",
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- "wyp3vhj+6vod4znl8ivw4ult2pja+jmwva6",
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- "wypeimena",
- "wypeina",
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"wypeinia",
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- "wypeinsa",
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"wypelnia",
"wypelnienia",
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- "wypelnin",
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"wypelnla",
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"wypetnia",
"wypetnienia",
- "wypetnionia",
- "wyplacen\u00e9",
- "wyplnit",
"wyplyniecia",
- "wypolnia",
- "wypotnia",
+ "wypofnia",
"wyptyniecia",
- "wyr",
- "wyrag",
- "wyraison",
- "wyratam",
- "wyrazam",
- "wyra\u017caj\u0105",
- "wyrdinienie",
+ "wyptynigcia",
+ "wyp\u00e9inienia",
+ "wyp\u0142yni\u0119cia",
"wyre",
- "wyro",
- "wyrobdw",
- "wyrobow",
- "wyrobu",
- "wyroby",
"wyrob\u00f6w",
- "wyrolond",
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- "wys49",
- "wysara",
- "wyscawcy",
- "wyse",
- "wyseicocasogs$+1",
- "wyskiunono",
+ "wyshes",
"wyslawienia",
- "wyslawiono",
- "wyslawlono",
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- "wysokinski",
- "wystaWlifnia",
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- "wystawcy",
- "wystawea",
- "wystawi",
- "wystawiajgcej",
- "wystawiano",
- "wystawiena",
+ "wystawiania",
"wystawienia",
- "wystawienia:31",
- "wystawieniem",
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- "wystawienja",
- "wystawienla",
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- "wystawil",
- "wystawila",
"wystawiona",
- "wystawione",
"wystawiono",
"wystawionow",
- "wystawiony",
+ "wystawionoww",
"wystawit",
- "wystawlifnia",
- "wystawlonla",
- "wystawlono",
- "wystwsro",
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- "wywizin*germany.\u2018com",
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- "wyze",
- "wyzej",
- "wyzwolenia",
- "wy~",
- "wy\u00a5ec",
- "wy\u0142\u0105cznie",
+ "wytnd",
+ "wywar",
+ "wy\u0142adunku",
"wz",
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- "wz+v7pkzvstv",
- "wz328ah",
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- "wzech",
- "wzel-2102:033",
- "wzel-2208",
- "wzg",
- "wzgiedu",
- "wzgigdu",
+ "wz4694r",
"wzgledu",
- "wzglgdu",
- "wziatu",
- "wziy",
- "wzjn7cgjsp0cslffxarqivftykuxhjq+v66fd8j",
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"wz\u00f3r",
"wz\u00f6r",
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- "w\u00e4agnatie",
- "w\u00e4aicana\u0131k",
- "w\u00e4aulp",
- "w\u00e4g",
+ "w\u00a5-spioco",
+ "w\u00c4UEp",
+ "w\u00c4UeP",
"w\u00e4ger",
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- "w\u00e4gt",
- "w\u00e4h",
- "w\u00e4hlbar",
- "w\u00e4hlen",
+ "w\u00e4hning",
"w\u00e4hrend",
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"w\u00e4hrun",
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"w\u00e4hrung",
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- "w\u00e4rsh\u00f6usestr\u00fcck",
- "w\u00e4t",
- "w\u00e4ued",
+ "w\u00e4nde-betondecke",
+ "w\u00e4reneingangebest\u00e4tigung",
"w\u00e4uep",
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- "w\u0131v",
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"w\u0142a",
- "w\u2014",
- "w\u2019538887786",
+ "w\u043e\u043ed\u0440\u0446l\u0440",
"x",
- "x!-xxxx",
"x$",
- "x$d",
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"x%",
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- "x&XXxxxx",
- "x&dXdx",
- "x&s",
- "x&x",
- "x&x-",
- "x&xx",
- "x&xxx",
+ "x&X",
"x&xxxx",
"x'",
- "x'&xxxx",
- "x'/XXX",
- "x'/Xxxxx",
"x'Xxxxx",
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"x'd",
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"x'x",
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"x'xxxx",
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- "x'xxxx\u2022",
- "x'xxx\u00a3xxxx",
- "x'\u2018xxxx",
"x'\u2019xxxx",
- "x(
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