public static final class BatchPredictRequest.Builder extends GeneratedMessageV3.Builder<BatchPredictRequest.Builder> implements BatchPredictRequestOrBuilder
Request message for PredictionService.BatchPredict.
Protobuf type google.cloud.automl.v1beta1.BatchPredictRequest
Inherited Members
com.google.protobuf.GeneratedMessageV3.Builder.getUnknownFieldSetBuilder()
com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownLengthDelimitedField(int,com.google.protobuf.ByteString)
com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownVarintField(int,int)
com.google.protobuf.GeneratedMessageV3.Builder.parseUnknownField(com.google.protobuf.CodedInputStream,com.google.protobuf.ExtensionRegistryLite,int)
com.google.protobuf.GeneratedMessageV3.Builder.setUnknownFieldSetBuilder(com.google.protobuf.UnknownFieldSet.Builder)
Static Methods
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()
Returns
Methods
addRepeatedField(Descriptors.FieldDescriptor field, Object value)
public BatchPredictRequest.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Parameters
Returns
Overrides
build()
public BatchPredictRequest build()
Returns
buildPartial()
public BatchPredictRequest buildPartial()
Returns
clear()
public BatchPredictRequest.Builder clear()
Returns
Overrides
clearField(Descriptors.FieldDescriptor field)
public BatchPredictRequest.Builder clearField(Descriptors.FieldDescriptor field)
Parameter
Returns
Overrides
public BatchPredictRequest.Builder clearInputConfig()
Required. The input configuration for batch prediction.
.google.cloud.automl.v1beta1.BatchPredictInputConfig input_config = 3 [(.google.api.field_behavior) = REQUIRED];
clearName()
public BatchPredictRequest.Builder clearName()
Required. Name of the model requested to serve the batch prediction.
string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
clearOneof(Descriptors.OneofDescriptor oneof)
public BatchPredictRequest.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Parameter
Returns
Overrides
clearOutputConfig()
public BatchPredictRequest.Builder clearOutputConfig()
Required. The Configuration specifying where output predictions should
be written.
.google.cloud.automl.v1beta1.BatchPredictOutputConfig output_config = 4 [(.google.api.field_behavior) = REQUIRED];
clearParams()
public BatchPredictRequest.Builder clearParams()
Returns
clone()
public BatchPredictRequest.Builder clone()
Returns
Overrides
containsParams(String key)
public boolean containsParams(String key)
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_imp<span>ortan</span>ce - (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.
map<string, string> params = 5 [(.google.api.field_behavior) = REQUIRED];
getDefaultInstanceForType()
public BatchPredictRequest getDefaultInstanceForType()
Returns
getDescriptorForType()
public Descriptors.Descriptor getDescriptorForType()
Returns
Overrides
public BatchPredictInputConfig getInputConfig()
Required. The input configuration for batch prediction.
.google.cloud.automl.v1beta1.BatchPredictInputConfig input_config = 3 [(.google.api.field_behavior) = REQUIRED];
public BatchPredictInputConfig.Builder getInputConfigBuilder()
Required. The input configuration for batch prediction.
.google.cloud.automl.v1beta1.BatchPredictInputConfig input_config = 3 [(.google.api.field_behavior) = REQUIRED];
public BatchPredictInputConfigOrBuilder getInputConfigOrBuilder()
Required. The input configuration for batch prediction.
.google.cloud.automl.v1beta1.BatchPredictInputConfig input_config = 3 [(.google.api.field_behavior) = REQUIRED];
getMutableParams()
public Map<String,String> getMutableParams()
Use alternate mutation accessors instead.
getName()
Required. Name of the model requested to serve the batch prediction.
string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
| Type | Description |
| String | The name.
|
getNameBytes()
public 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) = { ... }
getOutputConfig()
public BatchPredictOutputConfig getOutputConfig()
Required. The Configuration specifying where output predictions should
be written.
.google.cloud.automl.v1beta1.BatchPredictOutputConfig output_config = 4 [(.google.api.field_behavior) = REQUIRED];
getOutputConfigBuilder()
public BatchPredictOutputConfig.Builder getOutputConfigBuilder()
Required. The Configuration specifying where output predictions should
be written.
.google.cloud.automl.v1beta1.BatchPredictOutputConfig output_config = 4 [(.google.api.field_behavior) = REQUIRED];
getOutputConfigOrBuilder()
public BatchPredictOutputConfigOrBuilder getOutputConfigOrBuilder()
Required. The Configuration specifying where output predictions should
be written.
.google.cloud.automl.v1beta1.BatchPredictOutputConfig output_config = 4 [(.google.api.field_behavior) = REQUIRED];
getParams()
public Map<String,String> getParams()
Returns
getParamsCount()
public int getParamsCount()
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_imp<span>ortan</span>ce - (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.
map<string, string> params = 5 [(.google.api.field_behavior) = REQUIRED];
getParamsMap()
public Map<String,String> getParamsMap()
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_imp<span>ortan</span>ce - (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.
map<string, string> params = 5 [(.google.api.field_behavior) = REQUIRED];
getParamsOrDefault(String key, String defaultValue)
public String getParamsOrDefault(String key, String defaultValue)
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_imp<span>ortan</span>ce - (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.
map<string, string> params = 5 [(.google.api.field_behavior) = REQUIRED];
getParamsOrThrow(String key)
public String getParamsOrThrow(String key)
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_imp<span>ortan</span>ce - (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.
map<string, string> params = 5 [(.google.api.field_behavior) = REQUIRED];
public boolean hasInputConfig()
Required. The input configuration for batch prediction.
.google.cloud.automl.v1beta1.BatchPredictInputConfig input_config = 3 [(.google.api.field_behavior) = REQUIRED];
| Type | Description |
| boolean | Whether the inputConfig field is set.
|
hasOutputConfig()
public boolean hasOutputConfig()
Required. The Configuration specifying where output predictions should
be written.
.google.cloud.automl.v1beta1.BatchPredictOutputConfig output_config = 4 [(.google.api.field_behavior) = REQUIRED];
| Type | Description |
| boolean | Whether the outputConfig field is set.
|
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
Overrides
internalGetMapField(int number)
protected MapField internalGetMapField(int number)
Parameter
Returns
Overrides
internalGetMutableMapField(int number)
protected MapField internalGetMutableMapField(int number)
Parameter
Returns
Overrides
isInitialized()
public final boolean isInitialized()
Returns
Overrides
mergeFrom(BatchPredictRequest other)
public BatchPredictRequest.Builder mergeFrom(BatchPredictRequest other)
Parameter
Returns
public BatchPredictRequest.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Returns
Overrides
Exceptions
mergeFrom(Message other)
public BatchPredictRequest.Builder mergeFrom(Message other)
Parameter
Returns
Overrides
public BatchPredictRequest.Builder mergeInputConfig(BatchPredictInputConfig value)
Required. The input configuration for batch prediction.
.google.cloud.automl.v1beta1.BatchPredictInputConfig input_config = 3 [(.google.api.field_behavior) = REQUIRED];
mergeOutputConfig(BatchPredictOutputConfig value)
public BatchPredictRequest.Builder mergeOutputConfig(BatchPredictOutputConfig value)
Required. The Configuration specifying where output predictions should
be written.
.google.cloud.automl.v1beta1.BatchPredictOutputConfig output_config = 4 [(.google.api.field_behavior) = REQUIRED];
mergeUnknownFields(UnknownFieldSet unknownFields)
public final BatchPredictRequest.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Parameter
Returns
Overrides
putAllParams(Map<String,String> values)
public BatchPredictRequest.Builder putAllParams(Map<String,String> values)
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_imp<span>ortan</span>ce - (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.
map<string, string> params = 5 [(.google.api.field_behavior) = REQUIRED];
putParams(String key, String value)
public BatchPredictRequest.Builder putParams(String key, String value)
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_imp<span>ortan</span>ce - (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.
map<string, string> params = 5 [(.google.api.field_behavior) = REQUIRED];
removeParams(String key)
public BatchPredictRequest.Builder removeParams(String key)
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_imp<span>ortan</span>ce - (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.
map<string, string> params = 5 [(.google.api.field_behavior) = REQUIRED];
setField(Descriptors.FieldDescriptor field, Object value)
public BatchPredictRequest.Builder setField(Descriptors.FieldDescriptor field, Object value)
Parameters
Returns
Overrides
public BatchPredictRequest.Builder setInputConfig(BatchPredictInputConfig value)
Required. The input configuration for batch prediction.
.google.cloud.automl.v1beta1.BatchPredictInputConfig input_config = 3 [(.google.api.field_behavior) = REQUIRED];
public BatchPredictRequest.Builder setInputConfig(BatchPredictInputConfig.Builder builderForValue)
Required. The input configuration for batch prediction.
.google.cloud.automl.v1beta1.BatchPredictInputConfig input_config = 3 [(.google.api.field_behavior) = REQUIRED];
setName(String value)
public BatchPredictRequest.Builder setName(String value)
Required. Name of the model requested to serve the batch prediction.
string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
| Name | Description |
| value | String
The name to set.
|
Returns
setNameBytes(ByteString value)
public BatchPredictRequest.Builder setNameBytes(ByteString value)
Required. Name of the model requested to serve the batch prediction.
string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
| Name | Description |
| value | ByteString
The bytes for name to set.
|
Returns
setOutputConfig(BatchPredictOutputConfig value)
public BatchPredictRequest.Builder setOutputConfig(BatchPredictOutputConfig value)
Required. The Configuration specifying where output predictions should
be written.
.google.cloud.automl.v1beta1.BatchPredictOutputConfig output_config = 4 [(.google.api.field_behavior) = REQUIRED];
setOutputConfig(BatchPredictOutputConfig.Builder builderForValue)
public BatchPredictRequest.Builder setOutputConfig(BatchPredictOutputConfig.Builder builderForValue)
Required. The Configuration specifying where output predictions should
be written.
.google.cloud.automl.v1beta1.BatchPredictOutputConfig output_config = 4 [(.google.api.field_behavior) = REQUIRED];
setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
public BatchPredictRequest.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Parameters
Returns
Overrides
setUnknownFields(UnknownFieldSet unknownFields)
public final BatchPredictRequest.Builder setUnknownFields(UnknownFieldSet unknownFields)
Parameter
Returns
Overrides
