2.8.22 Release notes

This release includes a fix for preserving pandas DataFrame dtypes during VMDataset initialization.

Bug fixes

Fix pandas DataFrame dtype preservation in VMDataset initialization

You can now reduce memory usage when initializing VMDataset objects with vm.init_dataset(). We've introduced a copy_data option that lets you avoid copying the input dataframe, which is useful for handling large datasets in environments with limited memory. By default, copy_data is set to True. Here's how to use it:

vm_ds = vm.init_dataset(
    dataset=df,
    input_id="demo",
    target_column="target",
    copy_data=False,
)