direct access to MongoDB

[lacava]

recommender methods should be able to query the database directly for info (e.g. whether an ML+P combo has been run on a dataset) rather than accessing static files. @djfunksalot and I will work on this

[lacava]

@djfunksalot : format from recommender:

payload = {'token':self.api_key,
                   'filter_ids':self.trained_data_ids, # ids of data NOT to return
                    'algorithm': self.models, # algorithms to return
                  }

response spec:

• 'algorithm' one of:
  'LogisticRegression', 'DecisionTreeClassifier', 'KNeighborsClassifier', 'SVC', 'RandomForestClassifier', 'GradientBoostingClassifier' 'ElasticNet', 'DecisionTreeRegressor', 'KNeighborsRegressor', 'SVR', 'RandomForestRegressor', 'GradientBoostingRegressor'
• 'dataset_name' name of dataset
• 'accuracy': accuracy
• 'bal_accuracy': balanced accuracy
• 'parameters': dictionary parameter values such as {'C':1e-06,'loss'='hinge','fit_intercept'=True}

[lacava]

@djfunksalot lmk when this is updated on your end so i can check it on mine.

[lacava]

uses an external variable FGLAB_URL to define server location. see commit e5b6f18