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$ ./prodigy dataset test | |
✨ Successfully added 'test' to database SQLite. | |
$ cat data/test.jsonl | |
$ ./prodigy textcat.teach test initial_model_topics data/test.jsonl --label economie | |
✨ Starting the web server at http://localhost:8080 ... | |
Open the app in your browser and start annotating! | |
Saved 2 annotations to database SQLite | |
Dataset: test | |
Session ID: 2018-08-11_13-28-10 | |
$ ./prodigy textcat.teach test initial_model_topics data/test.jsonl --label wonen | |
Using 1 labels: wonen | |
✨ Starting the web server at http://localhost:8080 ... | |
Open the app in your browser and start annotating! | |
^C | |
Saved 2 annotations to database SQLite | |
Dataset: test | |
Session ID: 2018-08-11_13-30-20 | |
$ ./prodigy db-out test | |
{"text":"This is text B","meta":{"id":"2","score":0.0643216446},"_input_hash":-1530009927,"_task_hash":-340967702,"label":"economie","score":0.0643216446,"priority":0.0643216446,"spans":[],"answer":"accept"} | |
{"text":"This is text A","meta":{"id":"1","score":0.02744749},"_input_hash":499043849,"_task_hash":2003036685,"label":"economie","score":0.02744749,"priority":0.02744749,"spans":[],"answer":"reject"} | |
{"text":"This is text B","meta":{"id":"2","score":0.0643216446},"_input_hash":-1530009927,"_task_hash":-340967702,"label":"wonen","score":0.0643216446,"priority":0.0643216446,"spans":[],"answer":"accept"} | |
{"text":"This is text A","meta":{"id":"1","score":0.02744749},"_input_hash":499043849,"_task_hash":2003036685,"label":"wonen","score":0.02744749,"priority":0.02744749,"spans":[],"answer":"reject"} |
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$ ./prodigy textcat.eval test-eval initial_model_topics data/test.jsonl --label economie | |
Using 1 labels: economie | |
✨ ERROR: Invalid task format for view ID 'classification' | |
'label' is a required property | |
{'text': 'This is text A', 'meta': {'id': '1'}, '_input_hash': 499043849, '_task_hash': 2003036685} | |
$ ./prodigy textcat.eval test-eval initial_model_topics data/test_labels.jsonl --label economie | |
Using 1 labels: economie | |
✨ Starting the web server at http://localhost:8080 ... | |
Open the app in your browser and start annotating! | |
^C | |
Saved 2 annotations to database SQLite | |
Dataset: test-eval | |
Session ID: 2018-08-11_13-33-41 | |
Traceback (most recent call last): | |
File "/usr/lib/python3.6/runpy.py", line 193, in _run_module_as_main | |
"__main__", mod_spec) | |
File "/usr/lib/python3.6/runpy.py", line 85, in _run_code | |
exec(code, run_globals) | |
File "/home/wva/prodigy_env/lib/python3.6/site-packages/prodigy/__main__.py", line 261, in <module> | |
server(controller, controller.config) | |
File "/home/wva/prodigy_env/lib/python3.6/site-packages/prodigy/app.py", line 52, in server | |
controller.save() | |
File "cython_src/prodigy/core.pyx", line 136, in prodigy.core.Controller.save | |
File "/home/wva/prodigy_env/lib/python3.6/site-packages/prodigy/recipes/textcat.py", line 219, in on_exit | |
data = dict(model.evaluate(examples)) | |
File "cython_src/prodigy/models/textcat.pyx", line 207, in prodigy.models.textcat.TextClassifier.evaluate | |
KeyError: 'wonen' | |
$ ./prodigy db-out test-eval | |
{"text":"This is text A","meta":{"id":"1"},"label":"economie","_input_hash":499043849,"_task_hash":-1902286938,"answer":"reject"} | |
{"text":"This is text B","meta":{"id":"2"},"label":"wonen","_input_hash":-1530009927,"_task_hash":-628091562,"answer":"accept"} | |
$ ./prodigy drop test-eval | |
✨ Removed 'test-eval' from database SQLite. | |
$ ./prodigy dataset test-eval | |
✨ Successfully added 'test-eval' to database SQLite. | |
$ ./prodigy textcat.eval test-eval nl_core_news_sm data/test_labels2.jsonl | |
✨ Starting the web server at http://localhost:8080 ... | |
Open the app in your browser and start annotating! | |
^C | |
Saved 2 annotations to database SQLite | |
Dataset: test-eval | |
Session ID: 2018-08-11_13-52-08 | |
Traceback (most recent call last): | |
File "/usr/lib/python3.6/runpy.py", line 193, in _run_module_as_main | |
"__main__", mod_spec) | |
File "/usr/lib/python3.6/runpy.py", line 85, in _run_code | |
exec(code, run_globals) | |
File "/home/wva/prodigy_env/lib/python3.6/site-packages/prodigy/__main__.py", line 261, in <module> | |
server(controller, controller.config) | |
File "/home/wva/prodigy_env/lib/python3.6/site-packages/prodigy/app.py", line 52, in server | |
controller.save() | |
File "cython_src/prodigy/core.pyx", line 136, in prodigy.core.Controller.save | |
File "/home/wva/prodigy_env/lib/python3.6/site-packages/prodigy/recipes/textcat.py", line 219, in on_exit | |
data = dict(model.evaluate(examples)) | |
File "cython_src/prodigy/models/textcat.pyx", line 204, in prodigy.models.textcat.TextClassifier.evaluate | |
File "/home/wva/prodigy_env/lib/python3.6/site-packages/spacy/language.py", line 554, in pipe | |
for doc, context in izip(docs, contexts): | |
File "/home/wva/prodigy_env/lib/python3.6/site-packages/spacy/language.py", line 578, in pipe | |
for doc in docs: | |
File "pipeline.pyx", line 860, in pipe | |
File "pipeline.pyx", line 865, in spacy.pipeline.TextCategorizer.predict | |
File "/home/wva/prodigy_env/lib/python3.6/site-packages/thinc/neural/_classes/model.py", line 161, in __call__ | |
return self.predict(x) | |
File "/home/wva/prodigy_env/lib/python3.6/site-packages/thinc/api.py", line 55, in predict | |
X = layer(X) | |
File "/home/wva/prodigy_env/lib/python3.6/site-packages/thinc/neural/_classes/model.py", line 161, in __call__ | |
return self.predict(x) | |
File "/home/wva/prodigy_env/lib/python3.6/site-packages/thinc/neural/_classes/model.py", line 125, in predict | |
y, _ = self.begin_update(X) | |
File "/home/wva/prodigy_env/lib/python3.6/site-packages/thinc/api.py", line 176, in begin_update | |
values = [fwd(X, *a, **k) for fwd in forward] | |
File "/home/wva/prodigy_env/lib/python3.6/site-packages/thinc/api.py", line 176, in <listcomp> | |
values = [fwd(X, *a, **k) for fwd in forward] | |
File "/home/wva/prodigy_env/lib/python3.6/site-packages/thinc/api.py", line 258, in wrap | |
output = func(*args, **kwargs) | |
File "/home/wva/prodigy_env/lib/python3.6/site-packages/thinc/api.py", line 61, in begin_update | |
X, inc_layer_grad = layer.begin_update(X, drop=drop) | |
File "linear.pyx", line 43, in thinc.linear.linear.LinearModel.begin_update | |
ValueError: Buffer and memoryview are not contiguous in the same dimension. | |
$ ./prodigy db-out test-eval | |
{"text":"This is text A","meta":{"id":"1"},"label":"economie","_input_hash":499043849,"_task_hash":-1902286938,"answer":"reject"} | |
{"text":"This is text B","meta":{"id":"2"},"label":"economie","_input_hash":-1530009927,"_task_hash":-252583655,"answer":"accept"} |
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{"text": "This is text A", "meta": {"id": "1"}} | |
{"text": "This is text B", "meta": {"id": "2"}} |
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{"text": "This is text A", "meta": {"id": "1"}, "label": "economie"} | |
{"text": "This is text B", "meta": {"id": "2"}, "label": "wonen"} |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
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{"text": "This is text A", "meta": {"id": "1"}, "label": "economie"} | |
{"text": "This is text B", "meta": {"id": "2"}, "label": "economie"} |
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