Initializes a new TableDiscreteFunction instance.
def __init__(self, offset_of_inputs, table_of_outputs):
...
| Parameter |
Type |
Description |
| offset_of_inputs |
int |
The offset of the table indices relative to the input values. |
| table_of_outputs |
list[int] |
The table of output values. |
| Raises |
Description |
ValueError |
When the number of table elements is 0. |
from groupdocs.search.options import TableDiscreteFunction
# Create a function with an offset of 0 and a table defining the maximum
# number of differences for word lengths.
fuzzy_algo = TableDiscreteFunction(0, [0, 1, 1, 2, 2])
Initializes a new TableDiscreteFunction.
def __init__(self, first_step_level, steps):
...
| Parameter |
Type |
Description |
| first_step_level |
int |
The level of the first step of the step function. |
| steps |
list[Step] |
The next steps of the step function. |
| Raises |
Description |
ValueError |
If limits of steps are not strictly increasing. |
from groupdocs.search.options import Step, TableDiscreteFunction
# 1 mistake for words of 1-4 characters, 2 for 5-7 characters, and 3 from 8 characters on
fuzzy_algorithm = TableDiscreteFunction(1, [Step(5, 2), Step(8, 3)])
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