Danger You are looking at the documentation for an older version of the SDV! We are no longer supporting or maintaining this version of the software Click here to go to the new docs pages.
Danger
You are looking at the documentation for an older version of the SDV! We are no longer supporting or maintaining this version of the software
Click here to go to the new docs pages.
sdv.constraints.
Range
Ensure that the middle_column_name is between low and high columns.
middle_column_name
low
high
The transformation strategy works by replacing the middle_column_name with a scaled version and then applying a logit function. The reverse transform applies a sigmoid to the data and then scales it back to the original space.
low_column_name (str) – Name of the column which will be the lower bound.
middle_column_name (str) – Name of the column that has to be between the lower bound and upper bound.
high_column_name (str) – Name of the column which will be the higher bound.
strict_boundaries (bool) – Whether the comparison of the values should be strict >= or not > when comparing them.
>=
>
__init__
Initialize self. See help(type(self)) for accurate signature.
Methods
__init__(low_column_name, …[, …])
Initialize self.
filter_valid(table_data)
filter_valid
Get only the rows that are valid.
fit(table_data)
fit
Fit Constraint class to data.
Constraint
fit_transform(table_data)
fit_transform
Fit this Constraint to the data and then transform it.
from_dict(constraint_dict)
from_dict
Build a Constraint object from a dict.
is_valid(table_data)
is_valid
Say whether the constraint_column is between the low and high values.
constraint_column
reverse_transform(table_data)
reverse_transform
Handle logic around reverse transforming constraints.
to_dict()
to_dict
Return a dict representation of this Constraint.
transform(table_data)
transform
Perform necessary transformations needed by constraint.
Attributes
constraint_columns