A collection of HTTP headers that should be specified when uploading to
or downloading from the specified `signed_uri`
Credentials for reading from the specified artifact locations
Credentials for reading from the specified artifact locations
Credentials for writing to the specified artifact locations
Credentials for writing to the specified artifact locations
A collection of HTTP headers that should be specified when uploading to
or downloading from the specified `signed_uri`
A collection of HTTP headers that should be specified when uploading to
or downloading from the specified `signed_uri`
A collection of HTTP headers that should be specified when uploading to
or downloading from the specified `signed_uri`
A collection of HTTP headers that should be specified when uploading to
or downloading from the specified `signed_uri`
DatabricksArtifacts.ArtifactCredentialInfo.Builder.addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field,
Object value)
Credentials for uploading file parts in the initiated multipart upload
Credentials for uploading file parts in the initiated multipart upload
DatabricksArtifacts.ArtifactCredentialInfo.Builder.clear()
DatabricksArtifacts.ArtifactCredentialInfo.Builder.clearField(com.google.protobuf.Descriptors.FieldDescriptor field)
DatabricksArtifacts.ArtifactCredentialInfo.Builder.clearHeaders()
A collection of HTTP headers that should be specified when uploading to
or downloading from the specified `signed_uri`
DatabricksArtifacts.ArtifactCredentialInfo.Builder.clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)
DatabricksArtifacts.ArtifactCredentialInfo.Builder.clearPath()
The path, relative to the Run's artifact root location, of the artifact
that can be accessed with the credential
DatabricksArtifacts.ArtifactCredentialInfo.Builder.clearRunId()
The ID of the MLflow Run containing the artifact that can be accessed
with the credential
The signed URI credential that provides access to the artifact
DatabricksArtifacts.ArtifactCredentialInfo.Builder.clearType()
The type of the signed credential URI (e.g., an AWS presigned URL
or an Azure Shared Access Signature URI)
DatabricksArtifacts.ArtifactCredentialInfo.Builder.clone()
Credential for aborting the initiated multipart upload
optional .mlflow.ArtifactCredentialInfo credential_info = 1;
optional .mlflow.ArtifactCredentialInfo credential_info = 1;
Credentials for reading from the specified artifact locations
Credentials for writing to the specified artifact locations
Credential for uploading the part
Credentials for uploading file parts in the initiated multipart upload
DatabricksArtifacts.ArtifactCredentialInfo.Builder.mergeFrom(com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
DatabricksArtifacts.ArtifactCredentialInfo.Builder.mergeFrom(com.google.protobuf.Message other)
DatabricksArtifacts.ArtifactCredentialInfo.Builder.mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
DatabricksArtifacts.ArtifactCredentialInfo.newBuilder()
DatabricksArtifacts.ArtifactCredentialInfo.newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent)
DatabricksArtifacts.ArtifactCredentialInfo.Builder.removeHeaders(int index)
A collection of HTTP headers that should be specified when uploading to
or downloading from the specified `signed_uri`
DatabricksArtifacts.ArtifactCredentialInfo.Builder.setField(com.google.protobuf.Descriptors.FieldDescriptor field,
Object value)
A collection of HTTP headers that should be specified when uploading to
or downloading from the specified `signed_uri`
A collection of HTTP headers that should be specified when uploading to
or downloading from the specified `signed_uri`
DatabricksArtifacts.ArtifactCredentialInfo.Builder.setPath(String value)
The path, relative to the Run's artifact root location, of the artifact
that can be accessed with the credential
DatabricksArtifacts.ArtifactCredentialInfo.Builder.setPathBytes(com.google.protobuf.ByteString value)
The path, relative to the Run's artifact root location, of the artifact
that can be accessed with the credential
DatabricksArtifacts.ArtifactCredentialInfo.Builder.setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field,
int index,
Object value)
DatabricksArtifacts.ArtifactCredentialInfo.Builder.setRunId(String value)
The ID of the MLflow Run containing the artifact that can be accessed
with the credential
DatabricksArtifacts.ArtifactCredentialInfo.Builder.setRunIdBytes(com.google.protobuf.ByteString value)
The ID of the MLflow Run containing the artifact that can be accessed
with the credential
The signed URI credential that provides access to the artifact
DatabricksArtifacts.ArtifactCredentialInfo.Builder.setSignedUriBytes(com.google.protobuf.ByteString value)
The signed URI credential that provides access to the artifact
The type of the signed credential URI (e.g., an AWS presigned URL
or an Azure Shared Access Signature URI)
DatabricksArtifacts.ArtifactCredentialInfo.Builder.setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
DatabricksArtifacts.ArtifactCredentialInfo.toBuilder()
Credentials for reading from the specified artifact locations
Credentials for reading from the specified artifact locations
Credentials for writing to the specified artifact locations
Credentials for writing to the specified artifact locations
Credentials for uploading file parts in the initiated multipart upload
Credentials for uploading file parts in the initiated multipart upload
Credential for aborting the initiated multipart upload
optional .mlflow.ArtifactCredentialInfo credential_info = 1;
optional .mlflow.ArtifactCredentialInfo credential_info = 1;
Credentials for reading from the specified artifact locations
Credentials for writing to the specified artifact locations
Credential for uploading the part
Credentials for uploading file parts in the initiated multipart upload