Transform data by applying a function along samples or feature axis.
Functions
absolute_features() | Returns a mapper that converts features into absolute values. |
argsort(seq[, reverse]) | Return indices to get sequence sorted |
array_whereequal(a, x) | Reliable comparison for numpy.ndarray numpy.ndarray (as of 1.5.0.dev) fails to compare tuples in array of dtype object, e.g. |
borrowdoc(cls[, methodname]) | Return a decorator to borrow docstring from another cls.`methodname` |
expand_contraint_spec(spec) | Helper to translate literal contraint specs into functional ones e.g. |
max_of_abs(x) | Max of absolute values along the 2nd axis |
maxofabs_sample() | Returns a mapper that finds max of absolute values of all samples. |
mean_feature([attrfx]) | Returns a mapper that computes the mean feature of a dataset. |
mean_group_feature(attrs[, attrfx]) | Returns a mapper that computes the mean features of unique feature groups. |
mean_group_sample(attrs[, attrfx]) | Returns a mapper that computes the mean samples of unique sample groups. |
mean_sample([attrfx]) | Returns a mapper that computes the mean sample of a dataset. |
merge2first(attrs) | Compress a sequence by discard all but the first element |
subtract_mean(x) | Subtract mean across first axis |
subtract_mean_feature([attrfx]) | Subtract mean of features across samples. |
sum_of_abs(x) | Sum of absolute values along the 2nd axis |
sum_sample([attrfx]) | Returns a mapper that computes the sum sample of a dataset. |
sumofabs_sample() | Returns a mapper that returns the sum of absolute values of all samples. |
Classes
AltConstraints(*constraints) | Logical OR for constraints. |
BinaryFxNode(fx, space, **kwargs) | Extract a dataset attribute and call a function with it and the samples. |
BinomialProportionCI(**kwargs) | Compute binomial proportion confidence intervals |
Constraint | Base class for input value conversion/validation. |
Constraints(*constraints) | Logical AND for constraints. |
Dataset(samples[, sa, fa, a]) | Generic storage class for datasets with multiple attributes. |
EnsureBool | Ensure that an input is a bool. |
EnsureChoice(*values) | Ensure an input is element of a set of possible values .. |
EnsureDType(dtype) | Ensure that an input (or several inputs) are of a particular data type. |
EnsureFloat() | Ensure that an input (or several inputs) are of a data type ‘float’. |
EnsureInt() | Ensure that an input (or several inputs) are of a data type ‘int’. |
EnsureListOf(dtype) | Ensure that an input is a list of a particular data type .. |
EnsureNone | Ensure an input is of value None |
EnsureRange([min, max]) | Ensure an input is within a particular range |
EnsureStr | Ensure an input is a string. |
EnsureTupleOf(dtype) | Ensure that an input is a tuple of a particular data type .. |
FxMapper(axis, fx[, fxargs, uattrs, attrfx, ...]) | Apply a custom transformation to (groups of) samples or features. |
Mapper(**kwargs) | Basic mapper interface definition. |
MeanRemoval([in_place]) | Subtract sample mean from features. |
Node([space, pass_attr, postproc]) | Common processing object. |
Parameter(default[, constraints, ro, index, ...]) | This class shall serve as a representation of a parameter. |