Aluode/PerceptionLabPortable
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� || dk}|| }|t�|� }t�|�� | j| d��}|�|| | | � |�t|�� qtj |||f| t|�ftd�S )a� Generate a sparse random matrix given column class distributions10 11 Parameters12 ----------13 n_samples : int,14 Number of samples to draw in each column.15 16 classes : list of size n_outputs of arrays of size (n_classes,)17 List of classes for each column.18 19 class_probability : list of size n_outputs of arrays of shape (n_classes,), default=None20 Class distribution of each column. If None, uniform distribution is21 assumed.22 23 random_state : int, RandomState instance or None, default=None24 Controls the randomness of the sampled classes.25 See :term:`Glossary <random_state>`.26 27 Returns28 -------29 random_matrix : sparse csc matrix of size (n_samples, n_outputs)30 31 �ir z class dtype %s is not supportedF)�copyN)�shaper g �?z2Probability array at index {0} does not sum to onezXclasses[{0}] (length {1}) and class_probability[{0}] (length {2}) have different length.g )Z n_population� n_samples� random_state)�size)�dtype) �array�range�len�npZasarrayr �kind�32ValueErrorZastypeZint64�emptyr �fill�isclose�sum�format�insertr Z flatnonzero�item�intr �extendZ searchsortedZcumsum�uniform�append�spZ33csc_matrix)r �classesZclass_probabilityr �data�indicesZindptr�jZ class_prob_j�rngZ
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