mljar-supervised: Problems loading models

OK. I have trained models and I have them sitting in this directory.

C:\Users\User\GBAW23

When I try to run this code.

automl = AutoML(results_path=r"C:\Users\User\GBAW23")

I get this error

What am I doing wrong?

2023-05-19 20:24:33,807 supervised.exceptions ERROR Cannot load AutoML directory. Expecting value: line 1 column 1 (char 0)

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JSONDecodeError Traceback (most recent call last) File ~\anaconda3\lib\site-packages\supervised\base_automl.py:211, in BaseAutoML.load(self, path) 210 else: –> 211 m = ModelFramework.load(path, model_subpath, lazy_load) 212 self._models += [m]

File ~\anaconda3\lib\site-packages\supervised\model_framework.py:570, in ModelFramework.load(results_path, model_subpath, lazy_load) 568 logger.info(f"Loading model framework from {model_path}") –> 570 json_desc = json.load(open(os.path.join(model_path, “framework.json”))) 571 mf = ModelFramework(json_desc[“params”])

File ~\anaconda3\lib\json_init_.py:293, in load(fp, cls, object_hook, parse_float, parse_int, parse_constant, object_pairs_hook, **kw) 276 “”“Deserialize fp (a .read()-supporting file-like object containing 277 a JSON document) to a Python object. 278 (…) 291 kwarg; otherwise JSONDecoder is used. 292 “”” –> 293 return loads(fp.read(), 294 cls=cls, object_hook=object_hook, 295 parse_float=parse_float, parse_int=parse_int, 296 parse_constant=parse_constant, object_pairs_hook=object_pairs_hook, **kw)

File ~\anaconda3\lib\json_init_.py:346, in loads(s, cls, object_hook, parse_float, parse_int, parse_constant, object_pairs_hook, **kw) 343 if (cls is None and object_hook is None and 344 parse_int is None and parse_float is None and 345 parse_constant is None and object_pairs_hook is None and not kw): –> 346 return _default_decoder.decode(s) 347 if cls is None:

File ~\anaconda3\lib\json\decoder.py:337, in JSONDecoder.decode(self, s, _w) 333 “”“Return the Python representation of s (a str instance 334 containing a JSON document). 335 336 “”” –> 337 obj, end = self.raw_decode(s, idx=_w(s, 0).end()) 338 end = _w(s, end).end()

File ~\anaconda3\lib\json\decoder.py:355, in JSONDecoder.raw_decode(self, s, idx) 354 except StopIteration as err: –> 355 raise JSONDecodeError(“Expecting value”, s, err.value) from None 356 return obj, end

JSONDecodeError: Expecting value: line 1 column 1 (char 0)

During handling of the above exception, another exception occurred:

AutoMLException Traceback (most recent call last) Cell In[13], line 2 1 automl = AutoML(results_path=r"C:\Users\User\GBAW23") ----> 2 automl.predict(X)

File ~\anaconda3\lib\site-packages\supervised\automl.py:387, in AutoML.predict(self, X) 370 def predict(self, X: Union[List, numpy.ndarray, pandas.DataFrame]) -> numpy.ndarray: 371 “”" 372 Computes predictions from AutoML best model. 373 (…) 385 AutoMLException: Model has not yet been fitted. 386 “”" –> 387 return self._predict(X)

File ~\anaconda3\lib\site-packages\supervised\base_automl.py:1369, in BaseAutoML._predict(self, X) 1367 def _predict(self, X): -> 1369 predictions = self._base_predict(X) 1370 # Return predictions 1371 # If classification task the result is in column ‘label’ 1372 # If regression task the result is in column ‘prediction’ 1373 return ( 1374 predictions[“label”].to_numpy() 1375 if self._ml_task != REGRESSION 1376 else predictions[“prediction”].to_numpy() 1377 )

File ~\anaconda3\lib\site-packages\supervised\base_automl.py:1301, in BaseAutoML._base_predict(self, X, model) 1299 if model is None: 1300 if self._best_model is None: -> 1301 self.load(self.results_path) 1302 model = self._best_model 1304 if model is None:

File ~\anaconda3\lib\site-packages\supervised\base_automl.py:234, in BaseAutoML.load(self, path) 231 self.n_classes = self._data_info[“n_classes”] 233 except Exception as e: –> 234 raise AutoMLException(f"Cannot load AutoML directory. {str(e)}")

AutoMLException: Cannot load AutoML directory. Expecting value: line 1 column 1 (char 0)