Request message for PredictionService.BatchPredict.
Required. The input configuration for batch prediction.
Additional domain-specific parameters for the predictions, any
string must be up to 25000 characters long. - For Text
Classification: score_threshold - (float) A value from
0.0 to 1.0. When the model makes predictions for a text
snippet, it will only produce results that have at least this
confidence score. The default is 0.5. - For Image
Classification: score_threshold - (float) A value from
0.0 to 1.0. When the model makes predictions for an image, it
will only produce results that have at least this confidence
score. The default is 0.5. - For Image Object Detection:
score_threshold - (float) When Model detects objects on
the image, it will only produce bounding boxes which have at
least this confidence score. Value in 0 to 1 range, default is
0.5. max_bounding_box_count - (int64) No more than this
number of bounding boxes will be produced per image. Default
is 100, the requested value may be limited by server. - For
Video Classification : score_threshold - (float) A value
from 0.0 to 1.0. When the model makes predictions for a
video, it will only produce results that have at least this
confidence score. The default is 0.5.
segment_classification - (boolean) Set to true to
request segment-level classification. AutoML Video
Intelligence returns labels and their confidence scores for
the entire segment of the video that user specified in the
request configuration. The default is "true".
shot_classification - (boolean) Set to true to request
shot-level classification. AutoML Video Intelligence
determines the boundaries for each camera shot in the entire
segment of the video that user specified in the request
configuration. AutoML Video Intelligence then returns
labels and their confidence scores for each detected shot,
along with the start and end time of the shot. WARNING:
Model evaluation is not done for this classification type,
the quality of it depends on training data, but there are no
metrics provided to describe that quality. The default is
"false". 1s_interval_classification - (boolean) Set to
true to request classification for a video at one-second
intervals. AutoML Video Intelligence returns labels and
their confidence scores for each second of the entire
segment of the video that user specified in the request
configuration. WARNING: Model evaluation is not done for this
classification type, the quality of it depends on training
data, but there are no metrics provided to describe that
quality. The default is "false". - For Video Object
Tracking: score_threshold - (float) When Model detects
objects on video frames, it will only produce bounding boxes
which have at least this confidence score. Value in 0 to 1
range, default is 0.5. max_bounding_box_count - (int64)
No more than this number of bounding boxes will be returned
per frame. Default is 100, the requested value may be
limited by server. min_bounding_box_size - (float) Only
bounding boxes with shortest edge at least that long as a
relative value of video frame size will be returned. Value
in 0 to 1 range. Default is 0.
Classes
ParamsEntry
API documentation for automl_v1beta1.types.BatchPredictRequest.ParamsEntry class.