Class: Google::Cloud::AIPlatform::V1::TensorboardTimeSeries

Inherits:
Object
  • Object
show all
Extended by:
Protobuf::MessageExts::ClassMethods
Includes:
Protobuf::MessageExts
Defined in:
proto_docs/google/cloud/aiplatform/v1/tensorboard_time_series.rb

Overview

TensorboardTimeSeries maps to times series produced in training runs

Defined Under Namespace

Modules: ValueType Classes: Metadata

Instance Attribute Summary collapse

Instance Attribute Details

#create_time ⇒ ::Google::Protobuf::Timestamp (readonly)

Returns Output only. Timestamp when this TensorboardTimeSeries was created.

Returns:



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# File 'proto_docs/google/cloud/aiplatform/v1/tensorboard_time_series.rb', line 60

class TensorboardTimeSeries
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # Describes metadata for a TensorboardTimeSeries.
  # @!attribute [r] max_step
  #   @return [::Integer]
  #     Output only. Max step index of all data points within a
  #     TensorboardTimeSeries.
  # @!attribute [r] max_wall_time
  #   @return [::Google::Protobuf::Timestamp]
  #     Output only. Max wall clock timestamp of all data points within a
  #     TensorboardTimeSeries.
  # @!attribute [r] max_blob_sequence_length
  #   @return [::Integer]
  #     Output only. The largest blob sequence length (number of blobs) of all
  #     data points in this time series, if its ValueType is BLOB_SEQUENCE.
  class Metadata
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # An enum representing the value type of a TensorboardTimeSeries.
  module ValueType
    # The value type is unspecified.
    VALUE_TYPE_UNSPECIFIED = 0

    # Used for TensorboardTimeSeries that is a list of scalars.
    # E.g. accuracy of a model over epochs/time.
    SCALAR = 1

    # Used for TensorboardTimeSeries that is a list of tensors.
    # E.g. histograms of weights of layer in a model over epoch/time.
    TENSOR = 2

    # Used for TensorboardTimeSeries that is a list of blob sequences.
    # E.g. set of sample images with labels over epochs/time.
    BLOB_SEQUENCE = 3
  end
end

#description ⇒ ::String

Returns Description of this TensorboardTimeSeries.

Returns:

  • (::String) —

    Description of this TensorboardTimeSeries.



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# File 'proto_docs/google/cloud/aiplatform/v1/tensorboard_time_series.rb', line 60

class TensorboardTimeSeries
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # Describes metadata for a TensorboardTimeSeries.
  # @!attribute [r] max_step
  #   @return [::Integer]
  #     Output only. Max step index of all data points within a
  #     TensorboardTimeSeries.
  # @!attribute [r] max_wall_time
  #   @return [::Google::Protobuf::Timestamp]
  #     Output only. Max wall clock timestamp of all data points within a
  #     TensorboardTimeSeries.
  # @!attribute [r] max_blob_sequence_length
  #   @return [::Integer]
  #     Output only. The largest blob sequence length (number of blobs) of all
  #     data points in this time series, if its ValueType is BLOB_SEQUENCE.
  class Metadata
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # An enum representing the value type of a TensorboardTimeSeries.
  module ValueType
    # The value type is unspecified.
    VALUE_TYPE_UNSPECIFIED = 0

    # Used for TensorboardTimeSeries that is a list of scalars.
    # E.g. accuracy of a model over epochs/time.
    SCALAR = 1

    # Used for TensorboardTimeSeries that is a list of tensors.
    # E.g. histograms of weights of layer in a model over epoch/time.
    TENSOR = 2

    # Used for TensorboardTimeSeries that is a list of blob sequences.
    # E.g. set of sample images with labels over epochs/time.
    BLOB_SEQUENCE = 3
  end
end

#display_name ⇒ ::String

Returns Required. User provided name of this TensorboardTimeSeries. This value should be unique among all TensorboardTimeSeries resources belonging to the same TensorboardRun resource (parent resource).

Returns:

  • (::String) —

    Required. User provided name of this TensorboardTimeSeries. This value should be unique among all TensorboardTimeSeries resources belonging to the same TensorboardRun resource (parent resource).



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# File 'proto_docs/google/cloud/aiplatform/v1/tensorboard_time_series.rb', line 60

class TensorboardTimeSeries
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # Describes metadata for a TensorboardTimeSeries.
  # @!attribute [r] max_step
  #   @return [::Integer]
  #     Output only. Max step index of all data points within a
  #     TensorboardTimeSeries.
  # @!attribute [r] max_wall_time
  #   @return [::Google::Protobuf::Timestamp]
  #     Output only. Max wall clock timestamp of all data points within a
  #     TensorboardTimeSeries.
  # @!attribute [r] max_blob_sequence_length
  #   @return [::Integer]
  #     Output only. The largest blob sequence length (number of blobs) of all
  #     data points in this time series, if its ValueType is BLOB_SEQUENCE.
  class Metadata
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # An enum representing the value type of a TensorboardTimeSeries.
  module ValueType
    # The value type is unspecified.
    VALUE_TYPE_UNSPECIFIED = 0

    # Used for TensorboardTimeSeries that is a list of scalars.
    # E.g. accuracy of a model over epochs/time.
    SCALAR = 1

    # Used for TensorboardTimeSeries that is a list of tensors.
    # E.g. histograms of weights of layer in a model over epoch/time.
    TENSOR = 2

    # Used for TensorboardTimeSeries that is a list of blob sequences.
    # E.g. set of sample images with labels over epochs/time.
    BLOB_SEQUENCE = 3
  end
end

#etag ⇒ ::String

Returns Used to perform a consistent read-modify-write updates. If not set, a blind "overwrite" update happens.

Returns:

  • (::String) —

    Used to perform a consistent read-modify-write updates. If not set, a blind "overwrite" update happens.



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# File 'proto_docs/google/cloud/aiplatform/v1/tensorboard_time_series.rb', line 60

class TensorboardTimeSeries
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # Describes metadata for a TensorboardTimeSeries.
  # @!attribute [r] max_step
  #   @return [::Integer]
  #     Output only. Max step index of all data points within a
  #     TensorboardTimeSeries.
  # @!attribute [r] max_wall_time
  #   @return [::Google::Protobuf::Timestamp]
  #     Output only. Max wall clock timestamp of all data points within a
  #     TensorboardTimeSeries.
  # @!attribute [r] max_blob_sequence_length
  #   @return [::Integer]
  #     Output only. The largest blob sequence length (number of blobs) of all
  #     data points in this time series, if its ValueType is BLOB_SEQUENCE.
  class Metadata
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # An enum representing the value type of a TensorboardTimeSeries.
  module ValueType
    # The value type is unspecified.
    VALUE_TYPE_UNSPECIFIED = 0

    # Used for TensorboardTimeSeries that is a list of scalars.
    # E.g. accuracy of a model over epochs/time.
    SCALAR = 1

    # Used for TensorboardTimeSeries that is a list of tensors.
    # E.g. histograms of weights of layer in a model over epoch/time.
    TENSOR = 2

    # Used for TensorboardTimeSeries that is a list of blob sequences.
    # E.g. set of sample images with labels over epochs/time.
    BLOB_SEQUENCE = 3
  end
end

#metadata ⇒ ::Google::Cloud::AIPlatform::V1::TensorboardTimeSeries::Metadata (readonly)

Returns Output only. Scalar, Tensor, or Blob metadata for this TensorboardTimeSeries.

Returns:



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# File 'proto_docs/google/cloud/aiplatform/v1/tensorboard_time_series.rb', line 60

class TensorboardTimeSeries
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # Describes metadata for a TensorboardTimeSeries.
  # @!attribute [r] max_step
  #   @return [::Integer]
  #     Output only. Max step index of all data points within a
  #     TensorboardTimeSeries.
  # @!attribute [r] max_wall_time
  #   @return [::Google::Protobuf::Timestamp]
  #     Output only. Max wall clock timestamp of all data points within a
  #     TensorboardTimeSeries.
  # @!attribute [r] max_blob_sequence_length
  #   @return [::Integer]
  #     Output only. The largest blob sequence length (number of blobs) of all
  #     data points in this time series, if its ValueType is BLOB_SEQUENCE.
  class Metadata
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # An enum representing the value type of a TensorboardTimeSeries.
  module ValueType
    # The value type is unspecified.
    VALUE_TYPE_UNSPECIFIED = 0

    # Used for TensorboardTimeSeries that is a list of scalars.
    # E.g. accuracy of a model over epochs/time.
    SCALAR = 1

    # Used for TensorboardTimeSeries that is a list of tensors.
    # E.g. histograms of weights of layer in a model over epoch/time.
    TENSOR = 2

    # Used for TensorboardTimeSeries that is a list of blob sequences.
    # E.g. set of sample images with labels over epochs/time.
    BLOB_SEQUENCE = 3
  end
end

#name ⇒ ::String (readonly)

Returns Output only. Name of the TensorboardTimeSeries.

Returns:

  • (::String) —

    Output only. Name of the TensorboardTimeSeries.



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# File 'proto_docs/google/cloud/aiplatform/v1/tensorboard_time_series.rb', line 60

class TensorboardTimeSeries
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # Describes metadata for a TensorboardTimeSeries.
  # @!attribute [r] max_step
  #   @return [::Integer]
  #     Output only. Max step index of all data points within a
  #     TensorboardTimeSeries.
  # @!attribute [r] max_wall_time
  #   @return [::Google::Protobuf::Timestamp]
  #     Output only. Max wall clock timestamp of all data points within a
  #     TensorboardTimeSeries.
  # @!attribute [r] max_blob_sequence_length
  #   @return [::Integer]
  #     Output only. The largest blob sequence length (number of blobs) of all
  #     data points in this time series, if its ValueType is BLOB_SEQUENCE.
  class Metadata
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # An enum representing the value type of a TensorboardTimeSeries.
  module ValueType
    # The value type is unspecified.
    VALUE_TYPE_UNSPECIFIED = 0

    # Used for TensorboardTimeSeries that is a list of scalars.
    # E.g. accuracy of a model over epochs/time.
    SCALAR = 1

    # Used for TensorboardTimeSeries that is a list of tensors.
    # E.g. histograms of weights of layer in a model over epoch/time.
    TENSOR = 2

    # Used for TensorboardTimeSeries that is a list of blob sequences.
    # E.g. set of sample images with labels over epochs/time.
    BLOB_SEQUENCE = 3
  end
end

#plugin_data ⇒ ::String

Returns Data of the current plugin, with the size limited to 65KB.

Returns:

  • (::String) —

    Data of the current plugin, with the size limited to 65KB.



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# File 'proto_docs/google/cloud/aiplatform/v1/tensorboard_time_series.rb', line 60

class TensorboardTimeSeries
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # Describes metadata for a TensorboardTimeSeries.
  # @!attribute [r] max_step
  #   @return [::Integer]
  #     Output only. Max step index of all data points within a
  #     TensorboardTimeSeries.
  # @!attribute [r] max_wall_time
  #   @return [::Google::Protobuf::Timestamp]
  #     Output only. Max wall clock timestamp of all data points within a
  #     TensorboardTimeSeries.
  # @!attribute [r] max_blob_sequence_length
  #   @return [::Integer]
  #     Output only. The largest blob sequence length (number of blobs) of all
  #     data points in this time series, if its ValueType is BLOB_SEQUENCE.
  class Metadata
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # An enum representing the value type of a TensorboardTimeSeries.
  module ValueType
    # The value type is unspecified.
    VALUE_TYPE_UNSPECIFIED = 0

    # Used for TensorboardTimeSeries that is a list of scalars.
    # E.g. accuracy of a model over epochs/time.
    SCALAR = 1

    # Used for TensorboardTimeSeries that is a list of tensors.
    # E.g. histograms of weights of layer in a model over epoch/time.
    TENSOR = 2

    # Used for TensorboardTimeSeries that is a list of blob sequences.
    # E.g. set of sample images with labels over epochs/time.
    BLOB_SEQUENCE = 3
  end
end

#plugin_name ⇒ ::String

Returns Immutable. Name of the plugin this time series pertain to. Such as Scalar, Tensor, Blob.

Returns:

  • (::String) —

    Immutable. Name of the plugin this time series pertain to. Such as Scalar, Tensor, Blob



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# File 'proto_docs/google/cloud/aiplatform/v1/tensorboard_time_series.rb', line 60

class TensorboardTimeSeries
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # Describes metadata for a TensorboardTimeSeries.
  # @!attribute [r] max_step
  #   @return [::Integer]
  #     Output only. Max step index of all data points within a
  #     TensorboardTimeSeries.
  # @!attribute [r] max_wall_time
  #   @return [::Google::Protobuf::Timestamp]
  #     Output only. Max wall clock timestamp of all data points within a
  #     TensorboardTimeSeries.
  # @!attribute [r] max_blob_sequence_length
  #   @return [::Integer]
  #     Output only. The largest blob sequence length (number of blobs) of all
  #     data points in this time series, if its ValueType is BLOB_SEQUENCE.
  class Metadata
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # An enum representing the value type of a TensorboardTimeSeries.
  module ValueType
    # The value type is unspecified.
    VALUE_TYPE_UNSPECIFIED = 0

    # Used for TensorboardTimeSeries that is a list of scalars.
    # E.g. accuracy of a model over epochs/time.
    SCALAR = 1

    # Used for TensorboardTimeSeries that is a list of tensors.
    # E.g. histograms of weights of layer in a model over epoch/time.
    TENSOR = 2

    # Used for TensorboardTimeSeries that is a list of blob sequences.
    # E.g. set of sample images with labels over epochs/time.
    BLOB_SEQUENCE = 3
  end
end

#update_time ⇒ ::Google::Protobuf::Timestamp (readonly)

Returns Output only. Timestamp when this TensorboardTimeSeries was last updated.

Returns:



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# File 'proto_docs/google/cloud/aiplatform/v1/tensorboard_time_series.rb', line 60

class TensorboardTimeSeries
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # Describes metadata for a TensorboardTimeSeries.
  # @!attribute [r] max_step
  #   @return [::Integer]
  #     Output only. Max step index of all data points within a
  #     TensorboardTimeSeries.
  # @!attribute [r] max_wall_time
  #   @return [::Google::Protobuf::Timestamp]
  #     Output only. Max wall clock timestamp of all data points within a
  #     TensorboardTimeSeries.
  # @!attribute [r] max_blob_sequence_length
  #   @return [::Integer]
  #     Output only. The largest blob sequence length (number of blobs) of all
  #     data points in this time series, if its ValueType is BLOB_SEQUENCE.
  class Metadata
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # An enum representing the value type of a TensorboardTimeSeries.
  module ValueType
    # The value type is unspecified.
    VALUE_TYPE_UNSPECIFIED = 0

    # Used for TensorboardTimeSeries that is a list of scalars.
    # E.g. accuracy of a model over epochs/time.
    SCALAR = 1

    # Used for TensorboardTimeSeries that is a list of tensors.
    # E.g. histograms of weights of layer in a model over epoch/time.
    TENSOR = 2

    # Used for TensorboardTimeSeries that is a list of blob sequences.
    # E.g. set of sample images with labels over epochs/time.
    BLOB_SEQUENCE = 3
  end
end

#value_type ⇒ ::Google::Cloud::AIPlatform::V1::TensorboardTimeSeries::ValueType

Returns Required. Immutable. Type of TensorboardTimeSeries value.

Returns:



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# File 'proto_docs/google/cloud/aiplatform/v1/tensorboard_time_series.rb', line 60

class TensorboardTimeSeries
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # Describes metadata for a TensorboardTimeSeries.
  # @!attribute [r] max_step
  #   @return [::Integer]
  #     Output only. Max step index of all data points within a
  #     TensorboardTimeSeries.
  # @!attribute [r] max_wall_time
  #   @return [::Google::Protobuf::Timestamp]
  #     Output only. Max wall clock timestamp of all data points within a
  #     TensorboardTimeSeries.
  # @!attribute [r] max_blob_sequence_length
  #   @return [::Integer]
  #     Output only. The largest blob sequence length (number of blobs) of all
  #     data points in this time series, if its ValueType is BLOB_SEQUENCE.
  class Metadata
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # An enum representing the value type of a TensorboardTimeSeries.
  module ValueType
    # The value type is unspecified.
    VALUE_TYPE_UNSPECIFIED = 0

    # Used for TensorboardTimeSeries that is a list of scalars.
    # E.g. accuracy of a model over epochs/time.
    SCALAR = 1

    # Used for TensorboardTimeSeries that is a list of tensors.
    # E.g. histograms of weights of layer in a model over epoch/time.
    TENSOR = 2

    # Used for TensorboardTimeSeries that is a list of blob sequences.
    # E.g. set of sample images with labels over epochs/time.
    BLOB_SEQUENCE = 3
  end
end