val get_py : string -> Py.Object.tGet an attribute of this module as a Py.Object.t. This is useful to pass a Python function to another function.
module ABCMeta : sig ... endmodule BaseEstimator : sig ... endval abstractmethod : funcobj:Py.Object.t -> unit -> Py.Object.tA decorator indicating abstract methods.
Requires that the metaclass is ABCMeta or derived from it. A class that has a metaclass derived from ABCMeta cannot be instantiated unless all of its abstract methods are overridden. The abstract methods can be called using any of the normal 'super' call mechanisms.
Usage:
class C(metaclass=ABCMeta): @abstractmethod def my_abstract_method(self, ...): ...
val if_delegate_has_method :
delegate:
[ `S of string
| `StringList of string list
| `Tuple_of_strings of Py.Object.t ] ->
unit ->
Py.Object.tCreate a decorator for methods that are delegated to a sub-estimator
This enables ducktyping by hasattr returning True according to the sub-estimator.
Parameters ---------- delegate : string, list of strings or tuple of strings Name of the sub-estimator that can be accessed as an attribute of the base object. If a list or a tuple of names are provided, the first sub-estimator that is an attribute of the base object will be used.
val update_wrapper :
?assigned:Py.Object.t ->
?updated:Py.Object.t ->
wrapper:Py.Object.t ->
wrapped:Py.Object.t ->
unit ->
Py.Object.tUpdate a wrapper function to look like the wrapped function
wrapper is the function to be updated wrapped is the original function assigned is a tuple naming the attributes assigned directly from the wrapped function to the wrapper function (defaults to functools.WRAPPER_ASSIGNMENTS) updated is a tuple naming the attributes of the wrapper that are updated with the corresponding attribute from the wrapped function (defaults to functools.WRAPPER_UPDATES)