package sklearn

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Module Base.BiclusterMixinSource

Sourcetype tag = [
  1. | `BiclusterMixin
]
Sourcetype t = [ `BiclusterMixin | `Object ] Obj.t
Sourceval of_pyobject : Py.Object.t -> t
Sourceval to_pyobject : [> tag ] Obj.t -> Py.Object.t
Sourceval create : unit -> t

Mixin class for all bicluster estimators in scikit-learn

Sourceval 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.

Sourceval 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.

Sourceval 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.

Sourceval to_string : t -> string

Print the object to a human-readable representation.

Sourceval show : t -> string

Print the object to a human-readable representation.

Sourceval pp : Format.formatter -> t -> unit

Pretty-print the object to a formatter.

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