kd.curves API

Operators working with curves.

kd.curves.log_p1_pwl_curve(p, adjustments)

Specialization of PWLCurve with log(x + 1) transformation.

Args:
 p: (DataSlice) input points to the curve
 adjustments: (DataSlice) 2D data slice with points used for interpolation.
   The second dimension must have regular size of 2. E.g., [[1, 1.7], [2,
   3.6], [7, 5.7]]

Returns:
  FLOAT64 DataSlice with the same dimensions as p with interpolation results.

kd.curves.log_pwl_curve(p, adjustments)

Specialization of PWLCurve with log(x) transformation.

Args:
 p: (DataSlice) input points to the curve
 adjustments: (DataSlice) 2D data slice with points used for interpolation.
   The second dimension must have regular size of 2. E.g., [[1, 1.7], [2,
   3.6], [7, 5.7]]

Returns:
  FLOAT64 DataSlice with the same dimensions as p with interpolation results.

kd.curves.pwl_curve(p, adjustments)

Aliases:

• kd.pwl_curve

Piecewise Linear (PWL) curve interpolation operator.

Args:
 p: (DataSlice) input points to the curve
 adjustments: (DataSlice) 2D data slice with points used for interpolation.
   The second dimension must have regular size of 2. E.g., [[1, 1.7], [2,
   3.6], [7, 5.7]]

Returns:
  FLOAT64 DataSlice with the same dimensions as p with interpolation results.

kd.curves.symmetric_log_p1_pwl_curve(p, adjustments)

Specialization of PWLCurve with symmetric log(x + 1) transformation.

Args:
 p: (DataSlice) input points to the curve
 adjustments: (DataSlice) 2D data slice with points used for interpolation.
   The second dimension must have regular size of 2. E.g., [[1, 1.7], [2,
   3.6], [7, 5.7]]

Returns:
  FLOAT64 DataSlice with the same dimensions as p with interpolation results.