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Currently, we use different APIs for models on different tasks to make predictions, e.g. impute() for imputation models, classify() for classification models, cluster() for clustering ones, and forecast() for forecasting ones. We should make a unified API for all models to make predictions (including all tasks) on the given test set.
2. Motivation
Make the framework's API more unified and easier to use.
3. Your contribution
Will make a PR to implement it.
The text was updated successfully, but these errors were encountered:
1. Feature description
Currently, we use different APIs for models on different tasks to make predictions, e.g. impute() for imputation models, classify() for classification models, cluster() for clustering ones, and forecast() for forecasting ones. We should make a unified API for all models to make predictions (including all tasks) on the given test set.
2. Motivation
Make the framework's API more unified and easier to use.
3. Your contribution
Will make a PR to implement it.
The text was updated successfully, but these errors were encountered: