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SNNBP-Predict |
| Input | |
| Testing data | File should contain table data: lines for observations (samples) and columns for variables; columns should be separated by tabulation or user-defined symbol (;, etc); no missed data allowed. The testing data is mandatory parameter, it should contain predicting (inputs), but may not contain output variables. |
| Structure | This is the name of previously obtained network parameter file in MLP format |
| List of input variables | List of variables which serve as predictors for NN, the input of the neural network. Format of input : 1;2;3-7;12; |
| Output | |
| Errors | Output file, will contain error estimates for the NN predictions |
| Predictions | File should contain table data: lines for observations (samples) and columns for variables; columns should be separated by tabulation or user-defines sybol (;, etc); no missed data allowed. The validating data is not mandatory parameter, if it is omitted, the validating will be performed on the training data. |
| Options | |
| Significant digits | String in C-type format description (without %), examples: 5.3f; .5f; 3.0f |
| Check names of variables | Check names of variables from table first row:
Take 1-st line in the table Take 1-st line in the table |
| Check names of samples | Check names of samples from table first column:
Take 1-st line in the table Take 1-st line in the table |
| Column separation | Symbol for separation variables in line; by default tabulation and space. |
| Commentary line 1st character | Commentary line symbol (if line starts from CommentSymbol, then this line is ignored); by default - no commentary line |