Package com.google.cloud.automl.v1

Class BatchPredictInputConfig

java.lang.Object
com.google.protobuf.AbstractMessageLite
com.google.protobuf.AbstractMessage
com.google.protobuf.GeneratedMessage
com.google.cloud.automl.v1.BatchPredictInputConfig
All Implemented Interfaces:
BatchPredictInputConfigOrBuilder, com.google.protobuf.Message, com.google.protobuf.MessageLite, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Serializable
@Generated public final class BatchPredictInputConfig extends com.google.protobuf.GeneratedMessage 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][google.cloud.automl.v1.InputConfig.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},
 ]
 },
 }
 ],
 }\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" ]
 }
 }
 }
 }\n
 {
 "document": {
 "input_config": {
 "gcs_source": { "input_uris": [ "gs://folder/document2.tif" ]
 }
 }
 }
 }

 #### AutoML Tables

 See [Preparing your training
 data](https://cloud.google.com/automl-tables/docs/predict-batch) for more
 information.

 You can use either
 [gcs_source][google.cloud.automl.v1.BatchPredictInputConfig.gcs_source]
 or
 [bigquery_source][BatchPredictInputConfig.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'][google.cloud.automl.v1.TablesModelMetadata.input_feature_column_specs]
 [display_name-s][google.cloud.automl.v1.ColumnSpec.display_name]
 (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'][google.cloud.automl.v1.TablesModelMetadata.input_feature_column_specs]
 [display_name-s][google.cloud.automl.v1.ColumnSpec.display_name]
 (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
See Also:

  • Field Details

    • GCS_SOURCE_FIELD_NUMBER

      public static final int GCS_SOURCE_FIELD_NUMBER
      See Also:

  • Method Details

    • getDescriptor

      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()

    • internalGetFieldAccessorTable

      protected com.google.protobuf.GeneratedMessage.FieldAccessorTable internalGetFieldAccessorTable()
      Specified by:
      internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessage

    • getSourceCase

      public BatchPredictInputConfig.SourceCase getSourceCase()
      Specified by:
      getSourceCase in interface BatchPredictInputConfigOrBuilder

    • 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];
      Specified by:
      hasGcsSource in interface BatchPredictInputConfigOrBuilder
      Returns:
      Whether the gcsSource field is set.

    • 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];
      Specified by:
      getGcsSource in interface BatchPredictInputConfigOrBuilder
      Returns:
      The gcsSource.

    • 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];
      Specified by:
      getGcsSourceOrBuilder in interface BatchPredictInputConfigOrBuilder

    • isInitialized

      public final boolean isInitialized()
      Specified by:
      isInitialized in interface com.google.protobuf.MessageLiteOrBuilder
      Overrides:
      isInitialized in class com.google.protobuf.GeneratedMessage

    • writeTo

      public void writeTo(com.google.protobuf.CodedOutputStream output) throws IOException
      Specified by:
      writeTo in interface com.google.protobuf.MessageLite
      Overrides:
      writeTo in class com.google.protobuf.GeneratedMessage
      Throws:
      IOException

    • getSerializedSize

      public int getSerializedSize()
      Specified by:
      getSerializedSize in interface com.google.protobuf.MessageLite
      Overrides:
      getSerializedSize in class com.google.protobuf.GeneratedMessage

    • equals

      public boolean equals(Object obj)
      Specified by:
      equals in interface com.google.protobuf.Message
      Overrides:
      equals in class com.google.protobuf.AbstractMessage

    • hashCode

      public int hashCode()
      Specified by:
      hashCode in interface com.google.protobuf.Message
      Overrides:
      hashCode in class com.google.protobuf.AbstractMessage

    • parseFrom

      public static BatchPredictInputConfig parseFrom(ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException
      Throws:
      com.google.protobuf.InvalidProtocolBufferException

    • parseFrom

      public static BatchPredictInputConfig parseFrom(ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException
      Throws:
      com.google.protobuf.InvalidProtocolBufferException

    • parseFrom

      public static BatchPredictInputConfig parseFrom(com.google.protobuf.ByteString data) throws com.google.protobuf.InvalidProtocolBufferException
      Throws:
      com.google.protobuf.InvalidProtocolBufferException

    • parseFrom

      public static BatchPredictInputConfig parseFrom(com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException
      Throws:
      com.google.protobuf.InvalidProtocolBufferException

    • parseFrom

      public static BatchPredictInputConfig parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException
      Throws:
      com.google.protobuf.InvalidProtocolBufferException

    • parseFrom

      public static BatchPredictInputConfig parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException
      Throws:
      com.google.protobuf.InvalidProtocolBufferException

    • parseFrom

      public static BatchPredictInputConfig parseFrom(InputStream input) throws IOException
      Throws:
      IOException

    • parseFrom

      public static BatchPredictInputConfig parseFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
      Throws:
      IOException

    • parseDelimitedFrom

      public static BatchPredictInputConfig parseDelimitedFrom(InputStream input) throws IOException
      Throws:
      IOException

    • parseDelimitedFrom

      public static BatchPredictInputConfig parseDelimitedFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
      Throws:
      IOException

    • parseFrom

      public static BatchPredictInputConfig parseFrom(com.google.protobuf.CodedInputStream input) throws IOException
      Throws:
      IOException

    • parseFrom

      public static BatchPredictInputConfig parseFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
      Throws:
      IOException

    • newBuilderForType

      public BatchPredictInputConfig.Builder newBuilderForType()
      Specified by:
      newBuilderForType in interface com.google.protobuf.Message
      Specified by:
      newBuilderForType in interface com.google.protobuf.MessageLite

    • newBuilder

      public static BatchPredictInputConfig.Builder newBuilder()

    • newBuilder

      public static BatchPredictInputConfig.Builder newBuilder(BatchPredictInputConfig prototype)

    • toBuilder

      public BatchPredictInputConfig.Builder toBuilder()
      Specified by:
      toBuilder in interface com.google.protobuf.Message
      Specified by:
      toBuilder in interface com.google.protobuf.MessageLite

    • newBuilderForType

      protected BatchPredictInputConfig.Builder newBuilderForType(com.google.protobuf.AbstractMessage.BuilderParent parent)
      Overrides:
      newBuilderForType in class com.google.protobuf.AbstractMessage

    • getDefaultInstance

      public static BatchPredictInputConfig getDefaultInstance()

    • parser

      public static com.google.protobuf.Parser<BatchPredictInputConfig> parser()

    • getParserForType

      public com.google.protobuf.Parser<BatchPredictInputConfig> getParserForType()
      Specified by:
      getParserForType in interface com.google.protobuf.Message
      Specified by:
      getParserForType in interface com.google.protobuf.MessageLite
      Overrides:
      getParserForType in class com.google.protobuf.GeneratedMessage

    • getDefaultInstanceForType

      public BatchPredictInputConfig getDefaultInstanceForType()
      Specified by:
      getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder
      Specified by:
      getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder