Anomaly¶
The anomaly view into the model. Expects that the model being served
when accessing this route implements the anomaly()
method
in order to calculate the anomaly key(s) for the response.
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class
gordo.server.views.anomaly.
AnomalyView
(api=None, *args, **kwargs)[source]¶ Bases:
gordo.server.views.base.BaseModelView
Serve model predictions via POST method.
Gives back predictions looking something like this (depending on anomaly model being served):
{ 'data': [ { 'end': ['2016-01-01T00:10:00+00:00'], 'tag-anomaly-scaled': [0.913027075986948, 0.3474043585419292, 0.8986610906818544, 0.11825221990818557], 'tag-anomaly-unscaled': [10.2335327305725986948, 4.234343958392+3293, 10.379394390232232, 3.32093438982743929], 'model-output': [0.0005317790200933814, -0.0001525811239844188, 0.0008310950361192226, 0.0015755111817270517], 'original-input': [0.9135588550070414, 0.3472517774179448, 0.8994921857179736, 0.11982773108991263], 'start': ['2016-01-01T00:00:00+00:00'], 'total-anomaly-unscaled': [1.3326228173185086], 'total-anomaly-scaled': [0.3020328328002392], }, ... ], 'tags': [{'asset': None, 'name': 'tag-0'}, {'asset': None, 'name': 'tag-1'}, {'asset': None, 'name': 'tag-2'}, {'asset': None, 'name': 'tag-3'}], 'time-seconds': '0.1937'}
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endpoint
= 'anomaly_view'¶
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mediatypes
()¶
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methods
= ['POST']¶
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post
()[source]¶ Process a POST request by using provided user data
A typical response might look like this
{ 'data': [ { 'end': ['2016-01-01T00:10:00+00:00'], 'model-output': [0.0005317790200933814, -0.0001525811239844188, 0.0008310950361192226, 0.0015755111817270517], 'original-input': [0.9135588550070414, 0.3472517774179448, 0.8994921857179736, 0.11982773108991263], 'start': ['2016-01-01T00:00:00+00:00'], }, ... ], 'tags': [ {'asset': None, 'name': 'tag-0'}, {'asset': None, 'name': 'tag-1'}, {'asset': None, 'name': 'tag-2'}, {'asset': None, 'name': 'tag-3'} ], 'time-seconds': '0.1937' }
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