Module: MachineLearningWorkbench::Monkey::NumericallyApproximatable

Defined in:
lib/machine_learning_workbench/monkey.rb

Overview

# ‘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

Instance Method Summary collapse

Instance Method Details

#approximates?(other, epsilon = 1e-5) ⇒ Boolean

Verifies if ‘self` and `other` are withing `epsilon` of each other.

Parameters:

  • other (Numeric)
  • epsilon (Numeric) (defaults to: 1e-5)

Returns:

  • (Boolean) 


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# 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