Bayesian Tensor Factorization Linked to External Data

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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