Class: Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ExplanationMetadataInputMetadataVisualization

Inherits:
Object
  • Object
show all
Includes:
Core::Hashable, Core::JsonObjectSupport
Defined in:
lib/google/apis/aiplatform_v1/classes.rb,
lib/google/apis/aiplatform_v1/representations.rb,
lib/google/apis/aiplatform_v1/representations.rb

Overview

Visualization configurations for image explanation.

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(**args) ⇒ GoogleCloudAiplatformV1ExplanationMetadataInputMetadataVisualization

Returns a new instance of GoogleCloudAiplatformV1ExplanationMetadataInputMetadataVisualization.



11277
11278
11279
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 11277

def initialize(**args)
   update!(**args)
end

Instance Attribute Details

#clip_percent_lowerbound ⇒ Float

Excludes attributions below the specified percentile, from the highlighted areas. Defaults to 62. Corresponds to the JSON property clipPercentLowerbound

Returns:

  • (Float) 


11238
11239
11240
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 11238

def clip_percent_lowerbound
  @clip_percent_lowerbound
end

#clip_percent_upperbound ⇒ Float

Excludes attributions above the specified percentile from the highlighted areas. Using the clip_percent_upperbound and clip_percent_lowerbound together can be useful for filtering out noise and making it easier to see areas of strong attribution. Defaults to 99.9. Corresponds to the JSON property clipPercentUpperbound

Returns:

  • (Float) 


11246
11247
11248
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 11246

def clip_percent_upperbound
  @clip_percent_upperbound
end

#color_map ⇒ String

The color scheme used for the highlighted areas. Defaults to PINK_GREEN for Integrated Gradients attribution, which shows positive attributions in green and negative in pink. Defaults to VIRIDIS for XRAI attribution, which highlights the most influential regions in yellow and the least influential in blue. Corresponds to the JSON property colorMap

Returns:

  • (String) 


11255
11256
11257
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 11255

def color_map
  @color_map
end

#overlay_type ⇒ String

How the original image is displayed in the visualization. Adjusting the overlay can help increase visual clarity if the original image makes it difficult to view the visualization. Defaults to NONE. Corresponds to the JSON property overlayType

Returns:

  • (String) 


11262
11263
11264
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 11262

def overlay_type
  @overlay_type
end

#polarity ⇒ String

Whether to only highlight pixels with positive contributions, negative or both. Defaults to POSITIVE. Corresponds to the JSON property polarity

Returns:

  • (String) 


11268
11269
11270
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 11268

def polarity
  @polarity
end

#type ⇒ String

Type of the image visualization. Only applicable to Integrated Gradients attribution. OUTLINES shows regions of attribution, while PIXELS shows per- pixel attribution. Defaults to OUTLINES. Corresponds to the JSON property type

Returns:

  • (String) 


11275
11276
11277
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 11275

def type
  @type
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



11282
11283
11284
11285
11286
11287
11288
11289
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 11282

def update!(**args)
  @clip_percent_lowerbound = args[:clip_percent_lowerbound] if args.key?(:clip_percent_lowerbound)
  @clip_percent_upperbound = args[:clip_percent_upperbound] if args.key?(:clip_percent_upperbound)
  @color_map = args[:color_map] if args.key?(:color_map)
  @overlay_type = args[:overlay_type] if args.key?(:overlay_type)
  @polarity = args[:polarity] if args.key?(:polarity)
  @type = args[:type] if args.key?(:type)
end