All Superinterfaces:

com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder

All Known Implementing Classes:

BatchPredictRequest, BatchPredictRequest.Builder
```
public interface BatchPredictRequestOrBuilder
extends com.google.protobuf.MessageOrBuilder
```

Method Summary

All Methods Instance Methods Abstract Methods Deprecated Methods
Modifier and Type	Method	Description
`boolean`	`containsParams(String key)`	Additional domain-specific parameters for the predictions, any string must be up to 25000 characters long.
`BatchPredictInputConfig`	`getInputConfig()`	Required.
`BatchPredictInputConfigOrBuilder`	`getInputConfigOrBuilder()`	Required.
`String`	`getName()`	Required.
`com.google.protobuf.ByteString`	`getNameBytes()`	Required.
`BatchPredictOutputConfig`	`getOutputConfig()`	Required.
`BatchPredictOutputConfigOrBuilder`	`getOutputConfigOrBuilder()`	Required.
`Map<String,String>`	`getParams()`	Deprecated.
`int`	`getParamsCount()`	Additional domain-specific parameters for the predictions, any string must be up to 25000 characters long.
`Map<String,String>`	`getParamsMap()`	Additional domain-specific parameters for the predictions, any string must be up to 25000 characters long.
`String`	`getParamsOrDefault(String key, String defaultValue)`	Additional domain-specific parameters for the predictions, any string must be up to 25000 characters long.
`String`	`getParamsOrThrow(String key)`	Additional domain-specific parameters for the predictions, any string must be up to 25000 characters long.
`boolean`	`hasInputConfig()`	Required.
`boolean`	`hasOutputConfig()`	Required.

Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder
isInitialized

Methods inherited from interface com.google.protobuf.MessageOrBuilder
findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

Method Detail

getName
```
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:

The name.

getNameBytes
```
com.google.protobuf.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:

The bytes for name.

hasInputConfig
```
boolean hasInputConfig()
```
```
 Required. The input configuration for batch prediction.
 
```
.google.cloud.automl.v1.BatchPredictInputConfig input_config = 3 [(.google.api.field_behavior) = REQUIRED];
Returns:

Whether the inputConfig field is set.

getInputConfig
```
BatchPredictInputConfig getInputConfig()
```
```
 Required. The input configuration for batch prediction.
 
```
.google.cloud.automl.v1.BatchPredictInputConfig input_config = 3 [(.google.api.field_behavior) = REQUIRED];
Returns:

The inputConfig.

getInputConfigOrBuilder
```
BatchPredictInputConfigOrBuilder getInputConfigOrBuilder()
```
```
 Required. The input configuration for batch prediction.
 
```
.google.cloud.automl.v1.BatchPredictInputConfig input_config = 3 [(.google.api.field_behavior) = REQUIRED];

hasOutputConfig
```
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:

Whether the outputConfig field is set.

getOutputConfig
```
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:

The outputConfig.

getOutputConfigOrBuilder

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];

getParamsCount

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;

containsParams

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;

getParams

@Deprecated
Map<String,String> getParams()

Deprecated.

Use getParamsMap() instead.

getParamsMap

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;

getParamsOrDefault

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;

getParamsOrThrow

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;

Interface BatchPredictRequestOrBuilder

Method Summary

Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder

Methods inherited from interface com.google.protobuf.MessageOrBuilder

Method Detail

getName

getNameBytes

hasInputConfig

getInputConfig

getInputConfigOrBuilder

hasOutputConfig

getOutputConfig

getOutputConfigOrBuilder

getParamsCount

containsParams

getParams

getParamsMap

getParamsOrDefault

getParamsOrThrow