module MachineLearningWorkbench::Monkey::NumericallyApproximatable
# `NMatrix#to_a` has inconsistent behavior: single-row matrices are # converted to one-dimensional Arrays rather than a 2D Array with # only one row. Patching `#to_a` directly is not feasible as the # constructor seems to depend on it, and I have little interest in # investigating further. # @return [Array<Array>] a consistent array representation, such that # `nmat.to_consistent_a.to_nm == nmat` holds for single-row matrices def to_consistent_a dim == 2 && shape[0] == 1 ? [to_a] : to_a end alias :to_ca :to_consistent_a
end
Public Instance Methods
approximates?(other, epsilon=1e-5)
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Verifies if `self` and `other` are withing `epsilon` of each other. @param other [Numeric] @param epsilon [Numeric] @return [Boolean]
# File lib/machine_learning_workbench/monkey.rb, line 187 def approximates? other, epsilon=1e-5 # Used for testing and NMatrix#approximates?, should I move to spec_helper? (self - other).abs < epsilon end