package sklearn

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package sklearn

sklearn
- Sklearn

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val get_py : string -> Py.Object.t

Get an attribute of this module as a Py.Object.t. This is useful to pass a Python function to another function.

module Attrgetter : sig ... end

val any : ?kwds:(string * Py.Object.t) list -> Py.Object.t list -> Py.Object.t

Internal indicator of special typing constructs. See _doc instance attribute for specific docs.

val list : 
  ?kwargs:(string * Py.Object.t) list ->
  Py.Object.t list ->
  Py.Object.t

The central part of internal API.

This represents a generic version of type 'origin' with type arguments 'params'. There are two kind of these aliases: user defined and special. The special ones are wrappers around builtin collections and ABCs in collections.abc. These must have 'name' always set. If 'inst' is False, then the alias can't be instantiated, this is used by e.g. typing.List and typing.Dict.

val abstractmethod : Py.Object.t -> Py.Object.t

A 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. abstractmethod() may be used to declare abstract methods for properties and descriptors.

Usage:

class C(metaclass=ABCMeta): @abstractmethod def my_abstract_method(self, ...): ...

val if_delegate_has_method : 
  [ `S of string | `StringList of string list ] ->
  Py.Object.t

Create 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.t

Update 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)