sklearn.base.BiclusterMixin¶
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class
sklearn.base.BiclusterMixin[source]¶ Mixin class for all bicluster estimators in scikit-learn
Attributes: biclusters_Convenient way to get row and column indicators together.
Methods
get_indices(self, i)Row and column indices of the i’th bicluster. get_shape(self, i)Shape of the i’th bicluster. get_submatrix(self, i, data)Returns the submatrix corresponding to bicluster i.-
__init__(self, /, *args, **kwargs)¶ Initialize self. See help(type(self)) for accurate signature.
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biclusters_¶ Convenient way to get row and column indicators together.
Returns the
rows_andcolumns_members.
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get_indices(self, i)[source]¶ Row and column indices of the i’th bicluster.
Only works if
rows_andcolumns_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.
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get_shape(self, i)[source]¶ 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.
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get_submatrix(self, i, data)[source]¶ Returns 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_andcolumns_attributes exist.