Man pages for autovi
Auto Visual Inference with Computer Vision Models
| AUTO_VI | AUTO_VI class environment |
| AUTO_VI-cash-auxiliary | Compute auxiliary variables for the keras model |
| AUTO_VI-cash-boot_method | Get bootstrapped residuals from a fitted model |
| AUTO_VI-cash-boot_vss | Predict visual signal strength for bootstrapped residual... |
| AUTO_VI-cash-check | Conduct a auto visual inference check with a computer vision... |
| AUTO_VI-cash-check_result | List of diagnostic results |
| AUTO_VI-cash-feature_pca | Conduct principal component analysis for features extracted... |
| AUTO_VI-cash-feature_pca_plot | Draw a summary Plot for principal component analysis... |
| AUTO_VI-cash-get_data | Get data out of a model object |
| AUTO_VI-cash-get_fitted_and_resid | Get fitted values and residuals out of a model object |
| AUTO_VI-cash-..init.. | Initialization method |
| AUTO_VI-cash-likelihood_ratio | Compute the likelihood ratio using the simulated result |
| AUTO_VI-cash-lineup_check | Conduct a auto visual inference lineup check with a computer... |
| AUTO_VI-cash-null_method | Get null residuals from a fitted model |
| AUTO_VI-cash-null_vss | Simulate null plots and predict the visual signal strength |
| AUTO_VI-cash-plot_lineup | Draw a lineup of standard residual plots |
| AUTO_VI-cash-plot_pair | Draw a pair of standard residual plots |
| AUTO_VI-cash-plot_resid | Draw a standard residual plot |
| AUTO_VI-cash-p_value | Compute the p-value based on the check result |
| AUTO_VI-cash-rotate_resid | Get rotated residuals from a fitted linear model |
| AUTO_VI-cash-save_plot | Save plot(s) |
| AUTO_VI-cash-..str.. | String representation of the object |
| AUTO_VI-cash-summary | Summary of the object |
| AUTO_VI-cash-summary_density_plot | Draw a summary density plot for the result |
| AUTO_VI-cash-summary_plot | Draw a summary plot for the result |
| AUTO_VI-cash-summary_rank_plot | Draw a summary rank plot for the result |
| AUTO_VI-cash-vss | Predict the visual signal strength |
| check_python_library_available | Check python library availability |
| get_keras_model | Download and load the keras model |
| KERAS_WRAPPER | KERAS_WRAPPER class environment |
| KERAS_WRAPPER-cash-get_input_height | Get keras model input image height |
| KERAS_WRAPPER-cash-get_input_width | Get keras model input image width |
| KERAS_WRAPPER-cash-image_to_array | Load an image as numpy array |
| KERAS_WRAPPER-cash-..init.. | Initialization method |
| KERAS_WRAPPER-cash-list_layer_name | List all layer names |
| KERAS_WRAPPER-cash-predict | Predict visual signal strength |
| KERAS_WRAPPER-cash-..str.. | String representation of the object |
| list_keras_model | List all available pre-trained computer vision models |
| remove_plot | Remove a plot |
| save_plot | Save plot(s) |
