Class BatchPredictInputConfig.Builder (2.55.0) 

public static final class BatchPredictInputConfig.Builder extends GeneratedMessageV3.Builder<BatchPredictInputConfig.Builder> implements BatchPredictInputConfigOrBuilder

Input configuration for BatchPredict Action.

The format of input depends on the ML problem of the model used for prediction. As input source the gcs_source is expected, unless specified otherwise.

The formats are represented in EBNF with commas being literal and with non-terminal symbols defined near the end of this comment. The formats are:

AutoML Vision

Classification

One or more CSV files where each line is a single column:

 GCS_FILE_PATH

The Google Cloud Storage location of an image of up to 30MB in size. Supported extensions: .JPEG, .GIF, .PNG. This path is treated as the ID in the batch predict output.

Sample rows:

 gs://folder/image1.jpeg
 gs://folder/image2.gif
 gs://folder/image3.png
Object Detection

One or more CSV files where each line is a single column:

 GCS_FILE_PATH

The Google Cloud Storage location of an image of up to 30MB in size. Supported extensions: .JPEG, .GIF, .PNG. This path is treated as the ID in the batch predict output.

Sample rows:

 gs://folder/image1.jpeg
 gs://folder/image2.gif
 gs://folder/image3.png

AutoML Video Intelligence

Classification

One or more CSV files where each line is a single column:

 GCS_FILE_PATH,TIME_SEGMENT_START,TIME_SEGMENT_END

GCS_FILE_PATH is the Google Cloud Storage location of video up to 50GB in size and up to 3h in duration duration. Supported extensions: .MOV, .MPEG4, .MP4, .AVI.

TIME_SEGMENT_START and TIME_SEGMENT_END must be within the length of the video, and the end time must be after the start time.

Sample rows:

 gs://folder/video1.mp4,10,40
 gs://folder/video1.mp4,20,60
 gs://folder/vid2.mov,0,inf
Object Tracking

One or more CSV files where each line is a single column:

 GCS_FILE_PATH,TIME_SEGMENT_START,TIME_SEGMENT_END

GCS_FILE_PATH is the Google Cloud Storage location of video up to 50GB in size and up to 3h in duration duration. Supported extensions: .MOV, .MPEG4, .MP4, .AVI.

TIME_SEGMENT_START and TIME_SEGMENT_END must be within the length of the video, and the end time must be after the start time.

Sample rows:

 gs://folder/video1.mp4,10,40
 gs://folder/video1.mp4,20,60
 gs://folder/vid2.mov,0,inf

AutoML Natural Language

Classification

One or more CSV files where each line is a single column:

 GCS_FILE_PATH

GCS_FILE_PATH is the Google Cloud Storage location of a text file. Supported file extensions: .TXT, .PDF, .TIF, .TIFF

Text files can be no larger than 10MB in size.

Sample rows:

 gs://folder/text1.txt
 gs://folder/text2.pdf
 gs://folder/text3.tif
Sentiment Analysis

One or more CSV files where each line is a single column:

 GCS_FILE_PATH

GCS_FILE_PATH is the Google Cloud Storage location of a text file. Supported file extensions: .TXT, .PDF, .TIF, .TIFF

Text files can be no larger than 128kB in size.

Sample rows:

 gs://folder/text1.txt
 gs://folder/text2.pdf
 gs://folder/text3.tif
Entity Extraction

One or more JSONL (JSON Lines) files that either provide inline text or documents. You can only use one format, either inline text or documents, for a single call to [AutoMl.BatchPredict].

Each JSONL file contains a per line a proto that wraps a temporary user-assigned TextSnippet ID (string up to 2000 characters long) called "id", a TextSnippet proto (in JSON representation) and zero or more TextFeature protos. Any given text snippet content must have 30,000 characters or less, and also be UTF-8 NFC encoded (ASCII already is). The IDs provided should be unique.

Each document JSONL file contains, per line, a proto that wraps a Document proto with input_config set. Each document cannot exceed 2MB in size.

Supported document extensions: .PDF, .TIF, .TIFF

Each JSONL file must not exceed 100MB in size, and no more than 20 JSONL files may be passed.

Sample inline JSONL file (Shown with artificial line breaks. Actual line breaks are denoted by "\n".):

 {
    "id": "my_first_id",
    "text_snippet": { "content": "dog car cat"},
    "text_features": [
      {
        "text_segment": {"start_offset": 4, "end_offset": 6},
        "structural_type": PARAGRAPH,
        "bounding_poly": {
          "normalized_vertices": [
            {"x": 0.1, "y": 0.1},
            {"x": 0.1, "y": 0.3},
            {"x": 0.3, "y": 0.3},
            {"x": 0.3, "y": 0.1},
          ]
        },
      }
    ],
  }&#92;n
  {
    "id": "2",
    "text_snippet": {
      "content": "Extended sample content",
      "mime_type": "text/plain"
    }
  }

Sample document JSONL file (Shown with artificial line breaks. Actual line breaks are denoted by "\n".):

  {
    "document": {
      "input_config": {
        "gcs_source": { "input_uris": [ "gs://folder/document1.pdf" ]
        }
      }
    }
  }&#92;n
  {
    "document": {
      "input_config": {
        "gcs_source": { "input_uris": [ "gs://folder/document2.tif" ]
        }
      }
    }
  }

AutoML Tables

See Preparing your training data for more information.

You can use either gcs_source or bigquery_source.

For gcs_source:

CSV file(s), each by itself 10GB or smaller and total size must be 100GB or smaller, where first file must have a header containing column names. If the first row of a subsequent file is the same as the header, then it is also treated as a header. All other rows contain values for the corresponding columns.

The column names must contain the model's input_feature_column_specs' display_name-s (order doesn't matter). The columns corresponding to the model's input feature column specs must contain values compatible with the column spec's data types. Prediction on all the rows, i.e. the CSV lines, will be attempted.

Sample rows from a CSV file: <pre> "First Name","Last Name","Dob","Addresses" "John","Doe","1968-01-22","[{"status":"current","address":"123_First_Avenue","city":"Seattle","state":"WA","zip":"11111","numberOfYears":"1"},{"status":"previous","address":"456_Main_Street","city":"Portland","state":"OR","zip":"22222","numberOfYears":"5"}]" "Jane","Doe","1980-10-16","[{"status":"current","address":"789_Any_Avenue","city":"Albany","state":"NY","zip":"33333","numberOfYears":"2"},{"status":"previous","address":"321_Main_Street","city":"Hoboken","state":"NJ","zip":"44444","numberOfYears":"3"}]} </pre> For bigquery_source:

The URI of a BigQuery table. The user data size of the BigQuery table must be 100GB or smaller.

The column names must contain the model's input_feature_column_specs' display_name-s (order doesn't matter). The columns corresponding to the model's input feature column specs must contain values compatible with the column spec's data types. Prediction on all the rows of the table will be attempted.

Input field definitions:

GCS_FILE_PATH : The path to a file on Google Cloud Storage. For example, "gs://folder/video.avi".

TIME_SEGMENT_START : (TIME_OFFSET) Expresses a beginning, inclusive, of a time segment within an example that has a time dimension (e.g. video).

TIME_SEGMENT_END : (TIME_OFFSET) Expresses an end, exclusive, of a time segment within n example that has a time dimension (e.g. video).

TIME_OFFSET : A number of seconds as measured from the start of an example (e.g. video). Fractions are allowed, up to a microsecond precision. "inf" is allowed, and it means the end of the example.

Errors:

If any of the provided CSV files can't be parsed or if more than certain percent of CSV rows cannot be processed then the operation fails and prediction does not happen. Regardless of overall success or failure the per-row failures, up to a certain count cap, will be listed in Operation.metadata.partial_failures.

Protobuf type google.cloud.automl.v1.BatchPredictInputConfig

Inheritance

Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > BatchPredictInputConfig.Builder

Static Methods

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()
Returns
Type Description
Descriptor

Methods

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

public BatchPredictInputConfig.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Parameters
Name Description
field FieldDescriptor
value Object
Returns
Type Description
BatchPredictInputConfig.Builder
Overrides

build()

public BatchPredictInputConfig build()
Returns
Type Description
BatchPredictInputConfig

buildPartial()

public BatchPredictInputConfig buildPartial()
Returns
Type Description
BatchPredictInputConfig

clear()

public BatchPredictInputConfig.Builder clear()
Returns
Type Description
BatchPredictInputConfig.Builder
Overrides

clearField(Descriptors.FieldDescriptor field)

public BatchPredictInputConfig.Builder clearField(Descriptors.FieldDescriptor field)
Parameter
Name Description
field FieldDescriptor
Returns
Type Description
BatchPredictInputConfig.Builder
Overrides

clearGcsSource()

public BatchPredictInputConfig.Builder clearGcsSource()

Required. The Google Cloud Storage location for the input content.

.google.cloud.automl.v1.GcsSource gcs_source = 1 [(.google.api.field_behavior) = REQUIRED];

Returns
Type Description
BatchPredictInputConfig.Builder

clearOneof(Descriptors.OneofDescriptor oneof)

public BatchPredictInputConfig.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Parameter
Name Description
oneof OneofDescriptor
Returns
Type Description
BatchPredictInputConfig.Builder
Overrides

clearSource()

public BatchPredictInputConfig.Builder clearSource()
Returns
Type Description
BatchPredictInputConfig.Builder

clone()

public BatchPredictInputConfig.Builder clone()
Returns
Type Description
BatchPredictInputConfig.Builder
Overrides

getDefaultInstanceForType()

public BatchPredictInputConfig getDefaultInstanceForType()
Returns
Type Description
BatchPredictInputConfig

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()
Returns
Type Description
Descriptor
Overrides

getGcsSource()

public GcsSource getGcsSource()

Required. The Google Cloud Storage location for the input content.

.google.cloud.automl.v1.GcsSource gcs_source = 1 [(.google.api.field_behavior) = REQUIRED];

Returns
Type Description
GcsSource

The gcsSource.

getGcsSourceBuilder()

public GcsSource.Builder getGcsSourceBuilder()

Required. The Google Cloud Storage location for the input content.

.google.cloud.automl.v1.GcsSource gcs_source = 1 [(.google.api.field_behavior) = REQUIRED];

Returns
Type Description
GcsSource.Builder

getGcsSourceOrBuilder()

public GcsSourceOrBuilder getGcsSourceOrBuilder()

Required. The Google Cloud Storage location for the input content.

.google.cloud.automl.v1.GcsSource gcs_source = 1 [(.google.api.field_behavior) = REQUIRED];

Returns
Type Description
GcsSourceOrBuilder

getSourceCase()

public BatchPredictInputConfig.SourceCase getSourceCase()
Returns
Type Description
BatchPredictInputConfig.SourceCase

hasGcsSource()

public boolean hasGcsSource()

Required. The Google Cloud Storage location for the input content.

.google.cloud.automl.v1.GcsSource gcs_source = 1 [(.google.api.field_behavior) = REQUIRED];

Returns
Type Description
boolean

Whether the gcsSource field is set.

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
Type Description
FieldAccessorTable
Overrides

isInitialized()

public final boolean isInitialized()
Returns
Type Description
boolean
Overrides

mergeFrom(BatchPredictInputConfig other)

public BatchPredictInputConfig.Builder mergeFrom(BatchPredictInputConfig other)
Parameter
Name Description
other BatchPredictInputConfig
Returns
Type Description
BatchPredictInputConfig.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public BatchPredictInputConfig.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input CodedInputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
BatchPredictInputConfig.Builder
Overrides
Exceptions
Type Description
IOException

mergeFrom(Message other)

public BatchPredictInputConfig.Builder mergeFrom(Message other)
Parameter
Name Description
other Message
Returns
Type Description
BatchPredictInputConfig.Builder
Overrides

mergeGcsSource(GcsSource value)

public BatchPredictInputConfig.Builder mergeGcsSource(GcsSource value)

Required. The Google Cloud Storage location for the input content.

.google.cloud.automl.v1.GcsSource gcs_source = 1 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name Description
value GcsSource
Returns
Type Description
BatchPredictInputConfig.Builder

mergeUnknownFields(UnknownFieldSet unknownFields)

public final BatchPredictInputConfig.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Parameter
Name Description
unknownFields UnknownFieldSet
Returns
Type Description
BatchPredictInputConfig.Builder
Overrides

setField(Descriptors.FieldDescriptor field, Object value)

public BatchPredictInputConfig.Builder setField(Descriptors.FieldDescriptor field, Object value)
Parameters
Name Description
field FieldDescriptor
value Object
Returns
Type Description
BatchPredictInputConfig.Builder
Overrides

setGcsSource(GcsSource value)

public BatchPredictInputConfig.Builder setGcsSource(GcsSource value)

Required. The Google Cloud Storage location for the input content.

.google.cloud.automl.v1.GcsSource gcs_source = 1 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name Description
value GcsSource
Returns
Type Description
BatchPredictInputConfig.Builder

setGcsSource(GcsSource.Builder builderForValue)

public BatchPredictInputConfig.Builder setGcsSource(GcsSource.Builder builderForValue)

Required. The Google Cloud Storage location for the input content.

.google.cloud.automl.v1.GcsSource gcs_source = 1 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name Description
builderForValue GcsSource.Builder
Returns
Type Description
BatchPredictInputConfig.Builder

setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

public BatchPredictInputConfig.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Parameters
Name Description
field FieldDescriptor
index int
value Object
Returns
Type Description
BatchPredictInputConfig.Builder
Overrides

setUnknownFields(UnknownFieldSet unknownFields)

public final BatchPredictInputConfig.Builder setUnknownFields(UnknownFieldSet unknownFields)
Parameter
Name Description
unknownFields UnknownFieldSet
Returns
Type Description
BatchPredictInputConfig.Builder
Overrides