package sklearn

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type t
val of_pyobject : Py.Object.t -> t
val to_pyobject : t -> Py.Object.t
val create : unit -> t

Mixin class for all bicluster estimators in scikit-learn

val get_indices : i:int -> 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 : np.array, dtype=np.intp Indices of rows in the dataset that belong to the bicluster. col_ind : np.array, dtype=np.intp Indices of columns in the dataset that belong to the bicluster.

val get_shape : i:int -> t -> int

Shape of the i'th bicluster.

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

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

val get_submatrix : i:int -> data:Py.Object.t -> t -> Arr.t

Return the submatrix corresponding to bicluster `i`.

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

Returns ------- submatrix : array 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 : Format.formatter -> t -> unit

Pretty-print the object to a formatter.

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