mlem.api.load()

Load python object saved by MLEM.

def load(
    path: Union[str, os.PathLike],
    project: Optional[str] = None,
    rev: Optional[str] = None,
    batch_size: Optional[int] = None,
    follow_links: bool = True,
    try_migrations: bool = False,
) -> Any

Usage:

import os
from mlem.api import load

out_path = os.path.join(os.getcwd(), "saved-model")
loaded = load(out_path)

Description

Loads a Python object from a given path. The path can belong to different file systems (eg: S3). The function returns the underlying Python object saved by MLEM.

Parameters

• path (required) - Path to the object. Could be local path or path inside a git repo.
• project (optional) - URL to project if object is located there.
• rev (optional) - revision, could be git commit SHA, branch name or tag.
• follow_links (optional) - If object we read is a MLEM link, whether to load theactual object link points to. Defaults to True.

Returns

Any: Python object saved by MLEM

Exceptions

None

Example: Load a trained model saved with MLEM

import os
from sklearn.datasets import load_iris
from sklearn.tree import DecisionTreeClassifier
from mlem.api import load

path = os.path.join(os.getcwd(), "saved-model")

model = load(path)
assert isinstance(model, DecisionTreeClassifier)
train, _ = load_iris(return_X_y=True)
model.predict(train)