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Fit a Pipeline, Ensemble (version 1.0.11.0)

Choose the dataset containing pipeline/estimator:

Is the estimator a deep learning model?:

Select input type::

Choose the training dataset containing features:

Does the dataset contain header::

Choose how to select data by column::

Select target column(s)::

Dataset containing class labels or target values::

Does the dataset contain header::

Choose how to select data by column::

Select target column(s)::

What it does

This tools takes a pre-built model to simply fit on the provided labeled dataset by calling scikit-learn API fit. The model could be built in build_pipeline tool, stacking_ensemble tool or other places. Limited deep learning model is also supported.

The supported labeled dataset are the following:

tabular
sparse

Output

fitted model, h5mlm model.
optional hdf5 file containing weights for deep learning models.