Class: Openlayer::Models::InferencePipelines::DataStreamParams::Config::TabularClassificationData

Inherits:

Internal::Type::BaseModel

• Object
• Internal::Type::BaseModel
• Openlayer::Models::InferencePipelines::DataStreamParams::Config::TabularClassificationData

Defined in:

lib/openlayer/models/inference_pipelines/data_stream_params.rb,
sig/openlayer/models/inference_pipelines/data_stream_params.rbs

Instance Attribute Summary

• #categorical_feature_names ⇒ Array<String>^?

  Array with the names of all categorical features in the dataset.

• #class_names ⇒ Array<String>

  List of class names indexed by label integer in the dataset.

• #feature_names ⇒ Array<String>^?

  Array with all input feature names.

• #inference_id_column_name ⇒ String^?

  Name of the column with the inference ids.

• #label_column_name ⇒ String^?

  Name of the column with the labels.

• #latency_column_name ⇒ String^?

  Name of the column with the latencies.

• #metadata ⇒ Object^?

  Object with metadata.

• #prediction_scores_column_name ⇒ String^?

  Name of the column with the model's predictions as lists of class probabilities.

• #predictions_column_name ⇒ String^?

  Name of the column with the model's predictions as zero-indexed integers.

• #timestamp_column_name ⇒ String^?

  Name of the column with the timestamps.

Instance Method Summary

• #initialize ⇒ Object constructor
• #to_hash ⇒ {

Methods inherited from Internal::Type::BaseModel

==, #==, #[], coerce, #deconstruct_keys, #deep_to_h, dump, fields, hash, #hash, inherited, inspect, #inspect, known_fields, optional, recursively_to_h, required, #to_h, #to_json, #to_s, to_sorbet_type, #to_yaml

Methods included from Internal::Type::Converter

#coerce, coerce, #dump, dump, #inspect, inspect, meta_info, new_coerce_state, type_info

Methods included from Internal::Util::SorbetRuntimeSupport

#const_missing, #define_sorbet_constant!, #sorbet_constant_defined?, #to_sorbet_type, to_sorbet_type

Constructor Details

#initialize ⇒ Object

# File 'sig/openlayer/models/inference_pipelines/data_stream_params.rbs', line 218

def initialize: (

Instance Attribute Details

#categorical_feature_names ⇒ Array<String>^?

Array with the names of all categorical features in the dataset. E.g. ["Age", "Geography"].

Parameters:

• (::Array[String])

Returns:

• (Array<String>, nil)

# File 'lib/openlayer/models/inference_pipelines/data_stream_params.rb', line 215

optional :categorical_feature_names,
Openlayer::Internal::Type::ArrayOf[String],
api_name: :categoricalFeatureNames

#class_names ⇒ Array<String>

List of class names indexed by label integer in the dataset. E.g. ["Retained", "Exited"] when 0, 1 are in your label column.

Parameters:

• value (::Array[String])

Returns:

• (Array<String>)

# File 'lib/openlayer/models/inference_pipelines/data_stream_params.rb', line 208

required :class_names, Openlayer::Internal::Type::ArrayOf[String], api_name: :classNames

#feature_names ⇒ Array<String>^?

Array with all input feature names.

Parameters:

• (::Array[String])

Returns:

• (Array<String>, nil)

# File 'lib/openlayer/models/inference_pipelines/data_stream_params.rb', line 223

optional :feature_names, Openlayer::Internal::Type::ArrayOf[String], api_name: :featureNames

#inference_id_column_name ⇒ String^?

Name of the column with the inference ids. This is useful if you want to update rows at a later point in time. If not provided, a unique id is generated by Openlayer.

Parameters:

• (String)

Returns:

• (String, nil)

# File 'lib/openlayer/models/inference_pipelines/data_stream_params.rb', line 231

optional :inference_id_column_name, String, api_name: :inferenceIdColumnName

#label_column_name ⇒ String^?

Name of the column with the labels. The data in this column must be zero-indexed integers, matching the list provided in classNames.

Parameters:

• (String)

Returns:

• (String, nil)

# File 'lib/openlayer/models/inference_pipelines/data_stream_params.rb', line 238

optional :label_column_name, String, api_name: :labelColumnName

#latency_column_name ⇒ String^?

Name of the column with the latencies.

Parameters:

• (String)

Returns:

• (String, nil)

# File 'lib/openlayer/models/inference_pipelines/data_stream_params.rb', line 244

optional :latency_column_name, String, api_name: :latencyColumnName

#metadata ⇒ Object^?

Object with metadata.

Parameters:

• (top)

Returns:

• (Object, nil)

# File 'lib/openlayer/models/inference_pipelines/data_stream_params.rb', line 250

optional :metadata, Openlayer::Internal::Type::Unknown

#prediction_scores_column_name ⇒ String^?

Name of the column with the model's predictions as lists of class probabilities.

Parameters:

• (String)

Returns:

• (String, nil)

# File 'lib/openlayer/models/inference_pipelines/data_stream_params.rb', line 263

optional :prediction_scores_column_name, String, api_name: :predictionScoresColumnName

#predictions_column_name ⇒ String^?

Name of the column with the model's predictions as zero-indexed integers.

Parameters:

• (String)

Returns:

• (String, nil)

# File 'lib/openlayer/models/inference_pipelines/data_stream_params.rb', line 256

optional :predictions_column_name, String, api_name: :predictionsColumnName

#timestamp_column_name ⇒ String^?

Name of the column with the timestamps. Timestamps must be in UNIX sec format. If not provided, the upload timestamp is used.

Parameters:

• (String)

Returns:

• (String, nil)

# File 'lib/openlayer/models/inference_pipelines/data_stream_params.rb', line 270

optional :timestamp_column_name, String, api_name: :timestampColumnName

Instance Method Details

#to_hash ⇒ {

Returns:

• ({)

# File 'sig/openlayer/models/inference_pipelines/data_stream_params.rbs', line 231

def to_hash: -> {