Authorizations
Path Parameters
Project ID
Learn Block ID, use the impulse functions to retrieve the ID
Response
OK
Whether the operation succeeded
Date when the model was trained
Scale input for StandardScaler. Values are scaled like this (where ix
is axis index): input[ix] = (input[ix] - mean[ix]) / scale[ix];
Mean input for StandardScaler. Values are scaled like this (where ix
is axis index): input[ix] = (input[ix] - mean[ix]) / scale[ix];
Trained K-means clusters
Which axes were included during training (by index)
"
[ 0, 11, 22 ]"
DEPRECATED, see "thresholds" instead. Default minimum confidence rating required before tagging as anomaly, based on scores of training data (GMM only).
List of configurable thresholds for this block.
Optional error description (set if 'success' was false)
The types of model that are available
The model type that is recommended for use
int8
, float32
, akida
, requiresRetrain
Metrics for each of the available model types