accuracy_score¶
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pai4sk.sml_metrics.
accuracy_score
(data, pred)¶ Distributed accuracy classification score. It supports both local and distributed(MPI) implementation.
This metric is often used in multi-class classification to compute the class prediction accuracy. It currently supports binary classification only. The metric is implemented in a distributed manner for MPI execution.
Parameters: - data (Supports the following input data-types :) –
- Dense matrix (ndarray) of correct labels.
- SnapML data partition. This includes the correct labels.
- pred (Predicted classes.) – array-like, shape = (n_samples,)
Returns: accuracy_value – Returns the accuracy score of the predicted classes (pred) when compared with the true labels (data).
Return type: - data (Supports the following input data-types :) –