|  | 
| 170 | 170 | #    ending point of dataset = present - timedelta_back_in_granularity_increments | 
| 171 | 171 | # name - name of classification algorithm (see sklearn documentation for more) | 
| 172 | 172 | # hidden_layers - number of pybrain hidden layers to use | 
| 173 |  | -# epoch  -  Train on the current dataset for the given number of epochs.  | 
|  | 173 | +# epochs  -  Train on the current dataset for the given number of epochs.  | 
| 174 | 174 | # bias  -  (bool) bias flags to indicate whether the network should have biases  http://pybrain.org/docs/api/tools.html?highlight=buildnetwork#pybrain.tools.shortcuts.buildNetwork | 
| 175 | 175 | # momentum -   http://pybrain.org/docs/api/supervised/trainers.html?highlight=momentum | 
| 176 | 176 | # learningrate -  The learning rate gives the ratio of which parameters are changed into the direction of the gradient.  http://pybrain.org/docs/api/supervised/trainers.html?highlight=learningrate | 
|  | 
| 203 | 203 |         # 2/24 notes -- removed 120,240, added 20, 40, 45 | 
| 204 | 204 |         # 2/25 notes -- added 10, 50, removed 45 | 
| 205 | 205 |         # 2/25 -- added 120,240 back in to retest in light of recent bugs | 
| 206 |  | -        'datasetinput': [1, 2, 3, 4, 5, 6, 15, 10, 20, 40, 100, 200], | 
|  | 206 | +        'datasetinputs': [1, 2, 3, 4, 5, 6, 15, 10, 20, 40, 100, 200], | 
| 207 | 207 |         # 2/23 -- removed 3,5,15 -- added 20,40,100 | 
| 208 | 208 |         # 2/24 -- removed 7,10,20,40,100, added 3,4,5 | 
| 209 | 209 |         # 2/25 -- added 3,5,15,10,20,40,100 back in to retest in light of recent bugs | 
| 210 |  | -        'epoch': [1000], | 
|  | 210 | +        'epochs': [1000], | 
| 211 | 211 |         # 2/22 -- eliminated 4000, 100 | 
| 212 | 212 |         'bias': [True], | 
| 213 | 213 |         # 2/22 -- Eliminated 'False' | 
|  | 
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