- 2.53.0 (latest)
- 2.52.0
- 2.51.0
- 2.49.0
- 2.48.0
- 2.47.0
- 2.46.0
- 2.45.0
- 2.44.0
- 2.43.0
- 2.42.0
- 2.41.0
- 2.40.0
- 2.39.0
- 2.37.0
- 2.36.0
- 2.35.0
- 2.34.0
- 2.33.0
- 2.32.0
- 2.31.0
- 2.30.0
- 2.29.0
- 2.28.0
- 2.27.0
- 2.24.0
- 2.23.0
- 2.22.0
- 2.21.0
- 2.20.0
- 2.19.0
- 2.18.0
- 2.17.0
- 2.16.0
- 2.15.0
- 2.14.0
- 2.13.0
- 2.12.0
- 2.11.0
- 2.10.0
- 2.9.0
- 2.8.0
- 2.7.0
- 2.6.0
- 2.5.0
- 2.4.0
- 2.3.18
- 2.2.3
- 2.1.23
public interface BatchPredictRequestOrBuilder extends MessageOrBuilderImplements
MessageOrBuilderMethods
containsParams(String key)
public abstract boolean containsParams(String key)Additional domain-specific parameters for the predictions, any string must be up to 25000 characters long.
AutoML Natural Language 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.
AutoML Vision 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.
AutoML Vision 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) The maximum number of bounding
boxes returned per image. The default is 100, the
number of bounding boxes returned might be limited by the server.
AutoML Video Intelligence 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.
The default is false.
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.
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. The default is false.
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.
AutoML Video Intelligence 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) The maximum number of bounding
boxes returned per image. The default is 100, the
number of bounding boxes returned might be limited by the server.
min_bounding_box_size
: (float) Only bounding boxes with shortest edge
at least that long as a relative value of video frame size are
returned. Value in 0 to 1 range. Default is 0.
map<string, string> params = 5;
| Parameter | |
|---|---|
| Name | Description |
key | String |
| Returns | |
|---|---|
| Type | Description |
boolean | |
getInputConfig()
public abstract BatchPredictInputConfig getInputConfig()Required. The input configuration for batch prediction.
.google.cloud.automl.v1.BatchPredictInputConfig input_config = 3 [(.google.api.field_behavior) = REQUIRED];
| Returns | |
|---|---|
| Type | Description |
BatchPredictInputConfig | The inputConfig. |
getInputConfigOrBuilder()
public abstract BatchPredictInputConfigOrBuilder getInputConfigOrBuilder()Required. The input configuration for batch prediction.
.google.cloud.automl.v1.BatchPredictInputConfig input_config = 3 [(.google.api.field_behavior) = REQUIRED];
| Returns | |
|---|---|
| Type | Description |
BatchPredictInputConfigOrBuilder | |
getName()
public abstract String getName()Required. Name of the model requested to serve the batch prediction.
string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
| Returns | |
|---|---|
| Type | Description |
String | The name. |
getNameBytes()
public abstract ByteString getNameBytes()Required. Name of the model requested to serve the batch prediction.
string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
| Returns | |
|---|---|
| Type | Description |
ByteString | The bytes for name. |
getOutputConfig()
public abstract BatchPredictOutputConfig getOutputConfig()Required. The Configuration specifying where output predictions should be written.
.google.cloud.automl.v1.BatchPredictOutputConfig output_config = 4 [(.google.api.field_behavior) = REQUIRED];
| Returns | |
|---|---|
| Type | Description |
BatchPredictOutputConfig | The outputConfig. |
getOutputConfigOrBuilder()
public abstract BatchPredictOutputConfigOrBuilder getOutputConfigOrBuilder()Required. The Configuration specifying where output predictions should be written.
.google.cloud.automl.v1.BatchPredictOutputConfig output_config = 4 [(.google.api.field_behavior) = REQUIRED];
| Returns | |
|---|---|
| Type | Description |
BatchPredictOutputConfigOrBuilder | |
getParams()
public abstract Map<String,String> getParams()Use #getParamsMap() instead.
| Returns | |
|---|---|
| Type | Description |
Map<String,String> | |
getParamsCount()
public abstract int getParamsCount()Additional domain-specific parameters for the predictions, any string must be up to 25000 characters long.
AutoML Natural Language 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.
AutoML Vision 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.
AutoML Vision 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) The maximum number of bounding
boxes returned per image. The default is 100, the
number of bounding boxes returned might be limited by the server.
AutoML Video Intelligence 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.
The default is false.
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.
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. The default is false.
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.
AutoML Video Intelligence 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) The maximum number of bounding
boxes returned per image. The default is 100, the
number of bounding boxes returned might be limited by the server.
min_bounding_box_size
: (float) Only bounding boxes with shortest edge
at least that long as a relative value of video frame size are
returned. Value in 0 to 1 range. Default is 0.
map<string, string> params = 5;
| Returns | |
|---|---|
| Type | Description |
int | |
getParamsMap()
public abstract Map<String,String> getParamsMap()Additional domain-specific parameters for the predictions, any string must be up to 25000 characters long.
AutoML Natural Language 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.
AutoML Vision 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.
AutoML Vision 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) The maximum number of bounding
boxes returned per image. The default is 100, the
number of bounding boxes returned might be limited by the server.
AutoML Video Intelligence 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.
The default is false.
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.
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. The default is false.
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.
AutoML Video Intelligence 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) The maximum number of bounding
boxes returned per image. The default is 100, the
number of bounding boxes returned might be limited by the server.
min_bounding_box_size
: (float) Only bounding boxes with shortest edge
at least that long as a relative value of video frame size are
returned. Value in 0 to 1 range. Default is 0.
map<string, string> params = 5;
| Returns | |
|---|---|
| Type | Description |
Map<String,String> | |
getParamsOrDefault(String key, String defaultValue)
public abstract String getParamsOrDefault(String key, String defaultValue)Additional domain-specific parameters for the predictions, any string must be up to 25000 characters long.
AutoML Natural Language 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.
AutoML Vision 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.
AutoML Vision 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) The maximum number of bounding
boxes returned per image. The default is 100, the
number of bounding boxes returned might be limited by the server.
AutoML Video Intelligence 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.
The default is false.
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.
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. The default is false.
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.
AutoML Video Intelligence 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) The maximum number of bounding
boxes returned per image. The default is 100, the
number of bounding boxes returned might be limited by the server.
min_bounding_box_size
: (float) Only bounding boxes with shortest edge
at least that long as a relative value of video frame size are
returned. Value in 0 to 1 range. Default is 0.
map<string, string> params = 5;
| Parameters | |
|---|---|
| Name | Description |
key | String |
defaultValue | String |
| Returns | |
|---|---|
| Type | Description |
String | |
getParamsOrThrow(String key)
public abstract String getParamsOrThrow(String key)Additional domain-specific parameters for the predictions, any string must be up to 25000 characters long.
AutoML Natural Language 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.
AutoML Vision 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.
AutoML Vision 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) The maximum number of bounding
boxes returned per image. The default is 100, the
number of bounding boxes returned might be limited by the server.
AutoML Video Intelligence 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.
The default is false.
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.
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. The default is false.
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.
AutoML Video Intelligence 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) The maximum number of bounding
boxes returned per image. The default is 100, the
number of bounding boxes returned might be limited by the server.
min_bounding_box_size
: (float) Only bounding boxes with shortest edge
at least that long as a relative value of video frame size are
returned. Value in 0 to 1 range. Default is 0.
map<string, string> params = 5;
| Parameter | |
|---|---|
| Name | Description |
key | String |
| Returns | |
|---|---|
| Type | Description |
String | |
hasInputConfig()
public abstract boolean hasInputConfig()Required. The input configuration for batch prediction.
.google.cloud.automl.v1.BatchPredictInputConfig input_config = 3 [(.google.api.field_behavior) = REQUIRED];
| Returns | |
|---|---|
| Type | Description |
boolean | Whether the inputConfig field is set. |
hasOutputConfig()
public abstract boolean hasOutputConfig()Required. The Configuration specifying where output predictions should be written.
.google.cloud.automl.v1.BatchPredictOutputConfig output_config = 4 [(.google.api.field_behavior) = REQUIRED];
| Returns | |
|---|---|
| Type | Description |
boolean | Whether the outputConfig field is set. |