This class contains all the input options and common output options for all kinds of data-sets (Binary, Categorical, Contingency and Continuous).

- The following are the various input options:
- data:
Input data.

- datatype:
Type of data.

- semisupervised:
Boolean value specifying if Co-clustering is semi-supervised or not.

- model:
Model to be run for co-clustering.

- nbcocluster:
Number of row and column clusters.

- strategy:
Input strategy.

- The following are the various common output options:
- message:
Status returned.

- rowproportions:
Vector of row proportions.

- colproportions:
Vector of column proportions.

- rowclass:
Vector of assigned row cluster to each row.

- colclass:
Vector of assigned column cluster to each column.

- likelihood:
Final pseudo log-likelihood.

- rowposteriorprob:
Final posterior probabilities for rows.

- colposteriorprob:
Final posterior probabilities for columns.

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