BatchPredictRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)Request message for PredictionService.BatchPredict.
Attributes |
|
|---|---|
| Name | Description |
name |
str
Required. Name of the model requested to serve the batch prediction. |
input_config |
google.cloud.automl_v1beta1.types.BatchPredictInputConfig
Required. The input configuration for batch prediction. |
output_config |
google.cloud.automl_v1beta1.types.BatchPredictOutputConfig
Required. The Configuration specifying where output predictions should be written. |
params |
MutableMapping[str, str]
Required. 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 Tables:
feature_importance - (boolean) Whether feature importance
should be populated in the returned TablesAnnotations. 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
ParamsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)The abstract base class for a message.
| Parameters | |
|---|---|
| Name | Description |
kwargs |
dict
Keys and values corresponding to the fields of the message. |
mapping |
Union[dict,
A dictionary or message to be used to determine the values for this message. |
ignore_unknown_fields |
Optional(bool)
If True, do not raise errors for unknown fields. Only applied if |