mlem.api.import_object()

Try to load an object as MLEM model (or data) and return it, optionally saving to the specified target location.

def import_object(
    path: str,
    project: Optional[str] = None,
    rev: Optional[str] = None,
    fs: Optional[AbstractFileSystem] = None,
    target: Optional[str] = None,
    target_project: Optional[str] = None,
    target_fs: Optional[AbstractFileSystem] = None,
    type_: Optional[str] = None,
    copy_data: bool = True,
)

Usage:

import os
from mlem.api import import_object
from mlem.core.objects import MlemData
from mlem.contrib.pandas import DataFrameType

path = os.path.join(os.getcwd(), "data.csv")
target_path = os.path.join(os.getcwd(), "imported_data")
meta = import_object(path, target=target_path, type_="pandas[csv]", copy_data=True)

assert isinstance(meta, MlemData)
dt = meta.dataset
assert isinstance(dt, DataFrameType)

Description

Existing datasets and model files are imported as MLEM Objects. Specifically, they are tried to be loaded as MlemModel or MlemData. The function also supports saving these objects for future use within the MLEM context. This API is the underlying mechanism for the mlem import command.

Parameters

• path (required) - Path to the object to import.
• project (optional) - Path to mlem project where to load obj from.
• rev (optional) - Revision if object is stored in git repo.
• fs (optional) - Filesystem to use to load the object.
• target (optional) - Where to store the imported object.
• target_project (optional) - If provided, treat target as object name and dumpobject in this MLEM Project.
• target_fs (optional) - Filesystem to use to save the object.
• type_ (optional) - Type of the object to import. If not provided, will try toinfer from the object itself.
• copy_data (optional) - Whether to copy data to the target location.

Returns

MlemObject: Imported object.

Exceptions

None

Example: Import a saved model as MlemModel

import os
from mlem.core.objects import MlemModel
from mlem.api import import_object

path = os.path.join(os.getcwd(), "mymodel")
target_path = os.path.join(os.getcwd(), "mlem_model")
meta = import_object(path, target=target_path, type_="pickle", copy_data=True)
assert isinstance(meta, MlemModel)