Package org.mlflow.api.proto

Interface Service.DatasetOrBuilder

All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder
All Known Implementing Classes:
Service.Dataset, Service.Dataset.Builder
Enclosing class:
Service
public static interface Service.DatasetOrBuilder extends com.google.protobuf.MessageOrBuilder

  • Method Summary

    Modifier and Type
    Method
    Description
    String
    getDigest()
    Dataset digest, e.g.
    com.google.protobuf.ByteString
    getDigestBytes()
    Dataset digest, e.g.
    String
    getName()
    The name of the dataset.
    com.google.protobuf.ByteString
    getNameBytes()
    The name of the dataset.
    String
    getProfile()
    The profile of the dataset.
    com.google.protobuf.ByteString
    getProfileBytes()
    The profile of the dataset.
    String
    getSchema()
    The schema of the dataset.
    com.google.protobuf.ByteString
    getSchemaBytes()
    The schema of the dataset.
    String
    getSource()
    The type of the dataset source, e.g.
    com.google.protobuf.ByteString
    getSourceBytes()
    The type of the dataset source, e.g.
    String
    getSourceType()
    Source information for the dataset.
    com.google.protobuf.ByteString
    getSourceTypeBytes()
    Source information for the dataset.
    boolean
    hasDigest()
    Dataset digest, e.g.
    boolean
    hasName()
    The name of the dataset.
    boolean
    hasProfile()
    The profile of the dataset.
    boolean
    hasSchema()
    The schema of the dataset.
    boolean
    hasSource()
    The type of the dataset source, e.g.
    boolean
    hasSourceType()
    Source information for the dataset.

    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 Details

    • hasName

      boolean hasName()
       The name of the dataset. E.g. “my.uc.table@2” “nyc-taxi-dataset”, “fantastic-elk-3”
      optional string name = 1 [(.mlflow.validate_required) = true];
      Returns:
      Whether the name field is set.

    • getName

      String getName()
       The name of the dataset. E.g. “my.uc.table@2” “nyc-taxi-dataset”, “fantastic-elk-3”
      optional string name = 1 [(.mlflow.validate_required) = true];
      Returns:
      The name.

    • getNameBytes

      com.google.protobuf.ByteString getNameBytes()
       The name of the dataset. E.g. “my.uc.table@2” “nyc-taxi-dataset”, “fantastic-elk-3”
      optional string name = 1 [(.mlflow.validate_required) = true];
      Returns:
      The bytes for name.

    • hasDigest

      boolean hasDigest()
       Dataset digest, e.g. an md5 hash of the dataset that uniquely identifies it
 within datasets of the same name.
      optional string digest = 2 [(.mlflow.validate_required) = true];
      Returns:
      Whether the digest field is set.

    • getDigest

      String getDigest()
       Dataset digest, e.g. an md5 hash of the dataset that uniquely identifies it
 within datasets of the same name.
      optional string digest = 2 [(.mlflow.validate_required) = true];
      Returns:
      The digest.

    • getDigestBytes

      com.google.protobuf.ByteString getDigestBytes()
       Dataset digest, e.g. an md5 hash of the dataset that uniquely identifies it
 within datasets of the same name.
      optional string digest = 2 [(.mlflow.validate_required) = true];
      Returns:
      The bytes for digest.

    • hasSourceType

      boolean hasSourceType()
       Source information for the dataset. Note that the source may not exactly reproduce the
 dataset if it was transformed / modified before use with MLflow.
      optional string source_type = 3 [(.mlflow.validate_required) = true];
      Returns:
      Whether the sourceType field is set.

    • getSourceType

      String getSourceType()
       Source information for the dataset. Note that the source may not exactly reproduce the
 dataset if it was transformed / modified before use with MLflow.
      optional string source_type = 3 [(.mlflow.validate_required) = true];
      Returns:
      The sourceType.

    • getSourceTypeBytes

      com.google.protobuf.ByteString getSourceTypeBytes()
       Source information for the dataset. Note that the source may not exactly reproduce the
 dataset if it was transformed / modified before use with MLflow.
      optional string source_type = 3 [(.mlflow.validate_required) = true];
      Returns:
      The bytes for sourceType.

    • hasSource

      boolean hasSource()
       The type of the dataset source, e.g. ‘databricks-uc-table’, ‘DBFS’, ‘S3’, ...
      optional string source = 4 [(.mlflow.validate_required) = true];
      Returns:
      Whether the source field is set.

    • getSource

      String getSource()
       The type of the dataset source, e.g. ‘databricks-uc-table’, ‘DBFS’, ‘S3’, ...
      optional string source = 4 [(.mlflow.validate_required) = true];
      Returns:
      The source.

    • getSourceBytes

      com.google.protobuf.ByteString getSourceBytes()
       The type of the dataset source, e.g. ‘databricks-uc-table’, ‘DBFS’, ‘S3’, ...
      optional string source = 4 [(.mlflow.validate_required) = true];
      Returns:
      The bytes for source.

    • hasSchema

      boolean hasSchema()
       The schema of the dataset. E.g., MLflow ColSpec JSON for a dataframe, MLflow TensorSpec JSON
 for an ndarray, or another schema format.
      optional string schema = 5;
      Returns:
      Whether the schema field is set.

    • getSchema

      String getSchema()
       The schema of the dataset. E.g., MLflow ColSpec JSON for a dataframe, MLflow TensorSpec JSON
 for an ndarray, or another schema format.
      optional string schema = 5;
      Returns:
      The schema.

    • getSchemaBytes

      com.google.protobuf.ByteString getSchemaBytes()
       The schema of the dataset. E.g., MLflow ColSpec JSON for a dataframe, MLflow TensorSpec JSON
 for an ndarray, or another schema format.
      optional string schema = 5;
      Returns:
      The bytes for schema.

    • hasProfile

      boolean hasProfile()
       The profile of the dataset. Summary statistics for the dataset, such as the number of rows
 in a table, the mean / std / mode of each column in a table, or the number of elements
 in an array.
      optional string profile = 6;
      Returns:
      Whether the profile field is set.

    • getProfile

      String getProfile()
       The profile of the dataset. Summary statistics for the dataset, such as the number of rows
 in a table, the mean / std / mode of each column in a table, or the number of elements
 in an array.
      optional string profile = 6;
      Returns:
      The profile.

    • getProfileBytes

      com.google.protobuf.ByteString getProfileBytes()
       The profile of the dataset. Summary statistics for the dataset, such as the number of rows
 in a table, the mean / std / mode of each column in a table, or the number of elements
 in an array.
      optional string profile = 6;
      Returns:
      The bytes for profile.