| CP_model | BaTFLED model object for 3-D response tensor with CP... | 
| diagonal | Version of diag that has more consistent behavior | 
| exp_var | Get the explained variance for a set of predictions | 
| get_data_params | Get parameters for building a model with known relationships | 
| get_influence | Given a 'model' object, rank the input predictors (and... | 
| get_model_params | Get parameters to build a BaTFLED model | 
| im_2_mat | Plot heatmaps of two matrices in red and blue | 
| im_mat | Plot a heatmap of a matrix in red and blue | 
| input_data | Object storing input data for BaTFLED algorithm with 3-D... | 
| kernelize | Transform a matrix of input data into a matrix of kernel... | 
| lower_bnd_CP | Calculate the lower bound of the log likelihood for a trained... | 
| lower_bnd_Tucker | Calculate the lower bound of the log likelihood for a trained... | 
| mk_model | Make a new model object | 
| mk_toy | Make a toy dataset to test the 3d BaTFLED model. | 
| mult_3d | Multiply three matrices (or vectors) through a given core... | 
| nrmse | Computes the normalized root mean squared error | 
| plot_preds | Make a scatterplot of observed vs. predicted values | 
| plot_roc | Plot reciever operating characteristic (ROC) curves for two... | 
| plot_test_cor | Plot correlation results from test data | 
| plot_test_exp_var | Plot explained variance results from test data | 
| plot_test_RMSE | Plot RMSE results from test data | 
| rmse | Updates the root mean squared error for training data.... | 
| rot | Rotate a matrix for printing | 
| safe_log | Take logarithm avoiding underflow | 
| safe_prod | Takes the product of two matrices adding a column of... | 
| show_mat | Plot matrices from a model object with im_mat | 
| test | Get test predictions for a 3D BaTFLED model. | 
| test_CP | Perform 'cold start' prediction using BaTFLED algorthm for CP... | 
| test_results | Get RMSE & explained variance for warm and cold test results | 
| test_Tucker | Perform 'cold start' prediction for Tucker models | 
| train | Train model using BaTFLED algorthm | 
| train_CP | Train a CP model. | 
| train_Tucker | Train a Tucker model using BaTFLED algorthm | 
| Tucker_model | Factorization object for 3D Tucker models. | 
| update_core_Tucker | Update values in the core tensor for a Tucker model. | 
| update_mode1_CP | Update the first mode in a CP model. | 
| update_mode1_Tucker | Update the first mode in a Tucker model. | 
| update_mode2_CP | Update the second mode in a CP model. | 
| update_mode2_Tucker | Update the second mode in a Tucker model. | 
| update_mode3_CP | Update the third mode in a CP model. | 
| update_mode3_Tucker | Update the third mode in a Tucker model. | 
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