package sklearn

You can search for identifiers within the package.

in-package search v0.2.0

package sklearn

sklearn
- Sklearn

Legend:
Library
Module
Module type
Parameter
Class
Class type

type tag = [

| `BiclusterMixin

]

type t = [ `BiclusterMixin | `Object ] Obj.t

val of_pyobject : Py.Object.t -> t

val to_pyobject : [> tag ] Obj.t -> Py.Object.t

val create : unit -> t

Mixin class for all bicluster estimators in scikit-learn

val get_indices : i:int -> [> tag ] Obj.t -> Py.Object.t * Py.Object.t

Row and column indices of the i'th bicluster.

Only works if ``rows_`` and ``columns_`` attributes exist.

Parameters ---------- i : int The index of the cluster.

Returns ------- row_ind : ndarray, dtype=np.intp Indices of rows in the dataset that belong to the bicluster. col_ind : ndarray, dtype=np.intp Indices of columns in the dataset that belong to the bicluster.

val get_shape : i:int -> [> tag ] Obj.t -> Py.Object.t

Shape of the i'th bicluster.

Parameters ---------- i : int The index of the cluster.

Returns ------- shape : tuple (int, int) Number of rows and columns (resp.) in the bicluster.

val get_submatrix : 
  i:int ->
  data:[> `ArrayLike ] Np.Obj.t ->
  [> tag ] Obj.t ->
  [> `ArrayLike ] Np.Obj.t

Return the submatrix corresponding to bicluster `i`.

Parameters ---------- i : int The index of the cluster. data : array-like The data.

Returns ------- submatrix : ndarray The submatrix corresponding to bicluster i.

Notes ----- Works with sparse matrices. Only works if ``rows_`` and ``columns_`` attributes exist.

val to_string : t -> string

Print the object to a human-readable representation.

val show : t -> string

Print the object to a human-readable representation.

val pp : Stdlib.Format.formatter -> t -> unit

Pretty-print the object to a formatter.