Loads a serialized Isolation Forest model as produced and exported by the Python version of this package. Note that the metadata must be something importable in R - e.g. column names must be valid for R (numbers are valid for Python's pandas, but not for R, for example).
It's recommended to generate a '.metadata' file (passing `add_metada_file=TRUE`) and to visually inspect said file in any case.
This function is not meant to be used for passing models to and from R - in such case, one can use `saveRDS` and `readRDS` instead as they will likely result in smaller file sizes (although this function will still work correctly for serialization within R).
isotree.import.model(file, lazy_serialization = TRUE)An isolation forest model, as if it had been constructed through isolation.forest.
Path to the saved isolation forest model. Must be a file path, not a file connection, and the character encoding should correspond to the system's native encoding.
Whether to use lazy serialization through the ALTREP system for the resulting objects. See the documentation for this same parameter in isolation.forest for details.
If the model was fit to a `DataFrame` using Pandas' own Boolean types, take a look at the metadata to check if these columns will be taken as booleans (R logicals) or as categoricals with string values `"True"` and `"False"`.
See the documentation for isotree.export.model for details about compatibility of the generated files across different machines and versions.
isotree.export.model isotree.restore.handle