joblib.load¶
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joblib.load(filename, mmap_mode=None)¶ Reconstruct a Python object from a file persisted with joblib.dump.
Read more in the User Guide.
WARNING: joblib.load relies on the pickle module and can therefore execute arbitrary Python code. It should therefore never be used to load files from untrusted sources.
Parameters: - filename: str, pathlib.Path, or file object.
The file object or path of the file from which to load the object
- mmap_mode: {None, ‘r+’, ‘r’, ‘w+’, ‘c’}, optional
If not None, the arrays are memory-mapped from the disk. This mode has no effect for compressed files. Note that in this case the reconstructed object might no longer match exactly the originally pickled object.
Returns: - result: any Python object
The object stored in the file.
See also
joblib.dump- function to save an object
Notes
This function can load numpy array files saved separately during the dump. If the mmap_mode argument is given, it is passed to np.load and arrays are loaded as memmaps. As a consequence, the reconstructed object might not match the original pickled object. Note that if the file was saved with compression, the arrays cannot be memmapped.
