fractional_matrix_power

Aᵖ defined using matrix functions.

{
  "variable": "measurement_matrix",
  "domain": "Industrial sensor calibration",
  "feature_names": [
    "temperature_c",
    "vibration_mm_s"
  ],
  "matrix": [
    [
      4.0,
      0.0
    ],
    [
      0.0,
      9.0
    ]
  ]
}

# DataLens.ai example
# Factorise the named two- or three-sensor calibration matrix.
from scipy.linalg import fractional_matrix_power
result = fractional_matrix_power(A, 0.5)
assert np.allclose(result @ result, A)
print("Expected output verified")

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