Error in KGEOnRelationalData.ipynb using Pyke Model:

[ghost]

---------------------------------------------------------------------------
KeyError                                  Traceback (most recent call last)
<ipython-input-4-5f58e650ca91> in <module>
     17                  ])
     18 
---> 19 pipe.fit_transform(df)

~/.conda/envs/daikiri/lib/python3.6/site-packages/sklearn/pipeline.py in fit_transform(self, X, y, **fit_params)
    383         """
    384         last_step = self._final_estimator
--> 385         Xt, fit_params = self._fit(X, y, **fit_params)
    386         with _print_elapsed_time('Pipeline',
    387                                  self._log_message(len(self.steps) - 1)):

~/.conda/envs/daikiri/lib/python3.6/site-packages/sklearn/pipeline.py in _fit(self, X, y, **fit_params)
    313                 message_clsname='Pipeline',
    314                 message=self._log_message(step_idx),
--> 315                 **fit_params_steps[name])
    316             # Replace the transformer of the step with the fitted
    317             # transformer. This is necessary when loading the transformer

~/.conda/envs/daikiri/lib/python3.6/site-packages/joblib/memory.py in __call__(self, *args, **kwargs)
    350 
    351     def __call__(self, *args, **kwargs):
--> 352         return self.func(*args, **kwargs)
    353 
    354     def call_and_shelve(self, *args, **kwargs):

~/.conda/envs/daikiri/lib/python3.6/site-packages/sklearn/pipeline.py in _fit_transform_one(transformer, X, y, weight, message_clsname, message, **fit_params)
    726     with _print_elapsed_time(message_clsname, message):
    727         if hasattr(transformer, 'fit_transform'):
--> 728             res = transformer.fit_transform(X, y, **fit_params)
    729         else:
    730             res = transformer.fit(X, y, **fit_params).transform(X)

~/.conda/envs/daikiri/lib/python3.6/site-packages/sklearn/base.py in fit_transform(self, X, y, **fit_params)
    569         if y is None:
    570             # fit method of arity 1 (unsupervised transformation)
--> 571             return self.fit(X, **fit_params).transform(X)
    572         else:
    573             # fit method of arity 2 (supervised transformation)

~/src/Hamada/vectograph/transformers.py in transform(self, path_of_kg)
    320 
    321         if self.params['model'] == 'Pyke':
--> 322             return self.__run_pyke(path_of_kg)
    323         elif self.params['model'] in ['Distmult', 'Tucker', 'Conve', 'Complex']:
    324             return self.__run_link_prediction_base_models(path_of_kg)

~/src/Hamada/vectograph/transformers.py in __run_pyke(self, path_of_kg)
    286         self.logger.info('PYKE being executed.')
    287 
--> 288         parser = Parser(p_folder=self.params['storage_path'], k=self.params['K_for_PYKE'])
    289         parser.set_logger(self.logger)
    290         parser.set_similarity_measure(PPMI)

KeyError: 'K_for_PYKE'

[Demirrr]

Dear @hamadazahera,

As explicitly written in the tutorial, we apply DistMult, not PYKE.

[ghost]

DistMult works fine!. I tried to run the code with a different model (e.g PYKE). Is it possible with the same code, or do I need to call other functions, classes?

[Demirrr]

Hello Hamada,

We provide several examples to make the computation flow of Tabular to KG conversion visible. Consequently, none of the examples are for the production. Please use main.py

[Demirrr]

I reckon all is now well now. Consequently, I close this issue.