calc_mse_from_identity_line | Calculate the mean squared error from the identity line. |
calc_nmse_from_identity_line | Calculate the normalized mean squared error from the identity... |
calc_nmse_from_phenotype_predictions | Calculate the normalized mean squared error through time from... |
calc_r_squared | Calculate the 'r_squared' |
calc_r_squared_from_phenotype_predictions | Calculate the 'r_squared' through time from the phenotype... |
check_analyse_epochs | Check if the 'analyse_epochs' is valid |
check_csv_filename | Check if the 'csv_filename' is valid |
check_data | Check if the 'data' is valid |
check_datadir | Check if the 'datadir' is valid |
check_data_opts_id | Check if the 'data_opts_id' is valid |
check_epoch | Check if the 'epoch' is valid |
check_epochs | Check if the 'epochs' is valid |
check_evaluate_results | Check if the 'evaluate_results' are valid. |
check_file_extension | Check if the 'file_extension' is valid |
check_folder_name | Check if the 'folder_name' is valid |
check_gcae_args | Check if the arguments to call GCAE are valid. |
check_gcae_experiment_params | Check if the options to run GCAE are valid. |
check_gcae_experiment_params_filename | Check if the 'gcae_experiment_params_filename' is valid |
check_gcae_experiment_results | Check if the 'gcae_experiment_results' is valid. |
check_gcae_folder | Check if the 'gcae_folder' is valid |
check_gcae_input_data | Check if the 'gcae_input_data' is valid, i.e. can be run by... |
check_gcae_input_data_data_type | Check if the data type of 'gcae_input_data' is valid |
check_gcae_input_filenames | Check if the GenoCAE input filenames list is valid. |
check_gcae_input_files | Check if the GenoCAE input files are valid. |
check_gcae_is_installed | Check if GCAE is installed |
check_gcae_options | Check if the options to run GCAE are valid. |
check_gcae_options_filename | Check if the 'gcae_options_filename' is valid |
check_gcae_python_packages_are_installed | Check if all the GCAE Python packages are installed. |
check_gcae_repo_is_cloned | Check if the GCAE repo is cloned. Will stop if not. |
check_gcae_script_is_fixed | Check if the GCAE script is fixed |
check_gcae_setup | Check if the options to run GCAE are valid. |
check_gcae_setup_filename | Check if the 'gcae_setup_filename' is valid |
check_gcae_train_files_are_present | Check if the files to run gcae_train are present. |
check_gcae_version | Check if the GCAE version is valid, will stop if not |
check_genotype_concordances_table | Create a 'genotype_concordances_table' to be used in testing |
check_gif_filename | Check if the 'gif_filename' is valid |
check_input_files_are_present | Check if all the files needed for do_gcae_experiment are... |
check_labels_table | Check if the 'labels_table' is valid |
check_losses_from_train_t_table | Check if the 'losses_from_train_t_table' is valid |
check_losses_from_train_v_table | Check if the 'losses_from_train_v_table' is valid |
check_metric | Check if the 'metric' is valid |
check_metrics | Check if the 'metrics' is valid |
check_model | Check if the 'model' is valid |
check_model_filename | Check if the 'model_filename' is valid |
check_model_id | Check if the 'model_id' is valid |
check_nmse_in_time_table | Check if the 'nmse_in_time_table' is valid |
check_n_neurons | Check if the 'n_neurons' is valid |
check_ormr_folder_name | Check if the 'ormr_folder_name' is valid |
check_pheno_model_filename | Check if the 'pheno_model_filename' is valid |
check_pheno_model_id | Check if the 'pheno_model_id' is valid |
check_phenotype_predictions_table | Check if the 'phenotype_predictions_table' is valid |
check_png_filename | Check if the 'png_filename' is valid |
check_python_version | Check if the 'python_version' is valid |
check_resume_from | Check if the 'resume_from' is valid |
check_r_squared_in_time_table | Check if the 'r_squared_in_time_table' is valid |
check_save_interval | Check if the 'save_interval' is valid |
check_score_per_pop_table | Create a 'score_per_pop_table' to be used in testing |
check_scores_table | Check if the 'scores_table' is valid |
check_superpops | Check if the 'superpops' is valid |
check_trainedmodeldir | Check if the 'trainedmodeldir' is valid |
check_trainedmodelname | Check if the 'trainedmodelname' is valid |
check_train_opts_id | Check if the 'train_opts_id' is valid |
check_train_times_table | Check if the 'train_times_table' is valid |
clean_file_path | Cleans up a file path |
clean_gcaer_tempfolder | Remove all 'gcaer' temporary files |
clone_gcae_repo | Clone the GCAE repo |
create_gcae_evaluate_args | Create the CLI arguments to evaluate the 'GCAE' training |
create_gcae_experiment_params | Create the parameters for a GCAE experiment |
create_gcae_input_data | Create a 'gcae_input_data'. |
create_gcae_input_filenames | Create a 'gcae_input_filenames' |
create_gcae_input_files_1 | Create setting 1 for GCAE |
create_gcae_input_files_2 | Create setting 2 for GCAE |
create_gcae_options | Create the options to run GCAE |
create_gcae_project_args | Create the CLI arguments to project with 'GCAE' |
create_gcae_setup | Create the GCAE setup |
create_gcae_train_args | Create the CLI arguments to train with GCAE |
create_gcae_train_more_args | Create the CLI arguments to resume training the 'GCAE' |
create_genotype_concordances_through_time_png | Create a PNG file of the genotype concordance through time |
create_losses_from_train_t_through_time_png | Create a PNG file of the losses from training through time,... |
create_losses_from_train_v_through_time_png | Create a PNG file of the losses from training through time,... |
create_nmse_through_time_png | Create a PNG file of the NMSE through time |
create_phenotype_prediction_quality_png | Create a PNG file of the phenotype predictions at that time |
create_phenotype_predictions_through_time_png | Create a PNG file of the phenotypic predictions through time |
create_phenotype_prediction_through_time_gif | Create a GIF file of the phenotype predictions through time |
create_plots_from_gcae_experiment_results | Create plots from the saved GCAE experiment's results |
create_r_squared_through_time_png | Create a PNG file of the 'r_squared' through time |
create_score_per_pop_through_time_png | Create a PNG file of the F1 scores per population through... |
create_scores_through_time_png | Create a PNG file of the F1 scores through time |
create_test_gcae_experiment_params | Create the parameters for a GCAE experiment |
create_test_gcae_experiment_results | Create a 'gcae_experiment_results' to be used in testing |
create_test_gcae_input_data | Create a 'gcae_input_data' to be used in testing. |
create_test_gcae_input_filenames | Create a 'gcae_input_filenames' to be used in testing |
create_test_gcae_setup | Create a GCAE setup to be used in testing |
create_test_genotype_concordances_table | Create a 'genotype_concordances_table' to be used in testing |
create_test_losses_from_train_t_table | Create a 'losses_from_train_t_table' to be used in testing |
create_test_losses_from_train_v_table | Create a 'losses_from_train_v_table' to be used in testing |
create_test_model | Create a GCAE model to be used in testing |
create_test_nmse_in_time_table | Create a 'nmse_in_time_table' to be used in testing |
create_test_phenotype_predictions_table | Create a 'phenotype_predictions_table' to be used in testing |
create_test_r_squared_in_time_table | Create a 'r_squared_in_time_table' to be used in testing |
create_test_score_per_pop_table | Create a 'score_per_pop_table' to be used in testing |
create_test_scores_table | Create a 'scores_table' to be used in testing |
create_test_train_times_table | Create a 'train_times_table' to be used in testing |
create_train_times_through_time_png | Create a PNG file of the training times through time |
default_params_doc | This function does nothing. It is intended to inherit is... |
do_gcae_experiment | Do a full 'GCAE' experiment |
evaluate_phenotype_prediction | Determine how well the quantitative trait prediction worked |
fix_gcae_script | Fix the GCAE script |
gcae_animate | Animate |
gcae_evaluate | Use 'GCAE' its evaluate |
gcae_options_to_str | Convert a 'gcae_options' to a string |
gcae_plot | Plot |
gcae_project | Project |
gcaer | gcaer: An R interface to 'GCAE'. |
gcaer_report | Create a gcaer report, to be used when reporting bugs |
gcae_setup_to_str | Convert a 'gcae_setup' to a string |
gcae_train | Train model, and save its state at certain epochs to disk. |
gcae_train_more | Continue training a model, and save its state at certain... |
get_default_github_repo_branch_name | Get the name of the default GitHub repository branch |
get_default_github_repo_url | Get the default GitHub repository URL |
get_default_ormr_folder_name | Get the default ormr folder used by 'gcaer' |
get_gcae_data_opts_filename | Get the filename to the GCAE data options |
get_gcae_data_opts_filenames | Get the filenames for all the 'GCAE' phenotypic model... |
get_gcae_data_opts_ids | Get the 'data_opts' IDs for all the 'GCAE' phenotype... |
get_gcae_example_filename | Get the path to a gcaer file |
get_gcae_example_filenames | Get the paths to all 'GCAE' example files |
get_gcae_experiment_results_filenames | Get a list of filenames the GCAE results will be saved to |
get_gcae_folder | Get the path to the default 'GCAE' folder as used by gcaer |
get_gcae_help_text | Get the text of the gcae help file |
get_gcae_input_filenames | Create a 'gcae_input_filenames' |
get_gcae_model_filename | Get the filename to the GCAE model |
get_gcae_model_filenames | Get the filenames for all the 'GCAE' autoencoder... |
get_gcae_model_ids | Get the model IDs for all the 'GCAE' autoencoder... |
get_gcae_output_subfolder | Get the path to the GCAE output subfolder |
get_gcae_pheno_model_filename | Get the filename to the 'GCAE' phenotype model |
get_gcae_pheno_model_filenames | Get the filenames for all the 'GCAE' phenotypic model... |
get_gcae_pheno_model_ids | Get the 'pheno_model' IDs for all the 'GCAE' phenotype... |
get_gcae_required_python_packages | Get the names and version of all the Python packages GCAE... |
get_gcaer_filename | Get the path to a gcaer file |
get_gcaer_filenames | Get the full paths to all gcaer files |
get_gcaer_folder | Get the folder where gcaer stores its temporary files |
get_gcaer_tempfilename | Get a temporary filename |
get_gcaer_theme | Get the 'gcaer' theme |
get_gcae_trainedmodelname | Get the GCAE 'trainedmodelname' |
get_gcae_train_opts_filename | Get the filename to the GCAE training options |
get_gcae_train_opts_filenames | Get the filenames for all the 'GCAE' phenotypic model... |
get_gcae_train_opts_ids | Get the 'train_opts' IDs for all the 'GCAE' phenotype... |
get_gcae_version | Get the version of GCAE |
get_n_neurons_in_latent_layer | Get the number of neurons in the layent layer |
get_n_neurons_in_latent_layer_from_gcae_experiment_params | Get the number of neurons in the layent layer from a... |
get_n_neurons_in_latent_layer_from_model | Get the number of neurons in the layent layer from a 'model' |
get_run_gcae_py_path | Get the full path to 'run_gcae.py' |
get_test_data | Get the 'data' for use in testing. |
get_test_datadir | Get the 'datadir' for use in testing. |
get_test_labels_table | Get a 'labels_table' for use in testing. |
has_cloned_gcae_repo | Determines if the GCAE repo has been cloned already |
install_gcae | Install a specific version of GCAE |
install_gcae_requirements | Install the GCAE requirements |
is_equal_json | Determine if two JSON objects are the same |
is_gcae_experiment_params | Determine if the 'gcae_experiment_params' is indeed a... |
is_gcae_installed | Determine if 'GCAE' is installed |
is_gcae_repo_cloned | Determine if 'GCAE"s repo is cloned |
is_gcae_script_fixed | Clone the GCAE repo |
is_model | Determine if the 'model' is indeed a 'model' |
is_tensorboard_installed | Determine if TensorBoard is installed |
normalize_true_and_estimated_values | Normalize the true and estimated values |
parse_evaluate_filenames | Parse the data from the files produced by gcae_evaluate |
parse_genotype_concordances_file | Parse the 'genotype_concordances.csv' file |
parse_losses_from_project_file | Parse the 'losses_from_project.csv' file |
parse_losses_from_train_t_file | Parse the 'losses_from_train_t.csv' file |
parse_losses_from_train_v_file | Parse the 'losses_from_train_v.csv' file |
parse_project_files | Parse the data from the files produced by gcae_project |
parse_score_per_pop_file | Parse the f1_scores_pops_epoch_[x].csv file produced by... |
parse_train_filenames | Parse the data from the files produced by gcae_train |
parse_train_times_file | Parse the 'train_times.csv' file |
plot_genotype_concordances_from_file | Plot the genotype concordances in time, from file |
plot_losses_from_train_t_from_file | Plot the losses from training in time, for the training set,... |
plot_losses_from_train_v_from_file | Plot the losses from training in time, for the validation... |
plot_model | Plot a 'GCAE' autoencoder architecture, from file |
plot_nmse_in_time_from_file | Plot the NMSE in time, from file |
plot_phenotype_predictions_from_file | Plot the phenotype predictions in time, from file |
plot_r_squared_in_time_from_file | Plot the 'r_squared' in time, from file |
plot_score_per_pop_from_file | Plot the scores per population in time, from file |
plot_scores_from_file | Plot the F1 scores in time, from file |
plot_train_times_from_file | Plot the train times, from file |
project | Project |
read_gcae_experiment_params_file | Read a 'gcae_experiment_params' from file |
read_gcae_input_files | Read the GenoCAE input filenames |
read_gcae_options_file | Read a 'gcae_options' from file |
read_gcae_setup_file | Read a 'gcae_setup' from file |
read_genotype_concordances_file | Read a 'genotype_concordances_table' from file |
read_labels_file | Read a 'GCAE' labels file |
read_losses_from_train_t_file | Read a 'losses_from_train_t_table' from file |
read_losses_from_train_v_file | Read a 'losses_from_train_v_table' from file |
read_model_file | Read a 'GCAE' autoencoder architecture file |
read_nmse_in_time_file | Read a 'nmse_in_time_table' from file |
read_pheno_model_file | Read a 'GCAE' phenotypic model file |
read_phenotype_predictions_file | Read a 'phenotype_predictions_table' from file |
read_r_squared_in_time_file | Read a 'r_squared_in_time_table' from file |
read_score_per_pop_file | Read a 'score_per_pop_table' from file |
read_scores_file | Read a 'scores_table' from file |
read_train_times_file | Read a 'train_times_table' from file |
remove_gcaer_tempfolder | Remove the 'gcaer' temporary folder |
rename_files | Rename multiple files |
resize_to_shared_individuals_from_data | Resize the 'gcae_input_data' to only contain the shared... |
resize_to_shared_individuals_from_files | Resize the 'gcae_input_data' to only contain the shared... |
run_gcae | Run GCAE from arguments |
run_tensorboard | Run TensorBoard |
save_gcae_experiment_params | Save a 'gcae_experiment_params' to file |
save_gcae_experiment_results | Save a 'gcae_experiment_results' to file |
save_gcae_input_data | Save a 'gcae_input_data' |
save_gcae_options | Save a 'gcae_options' to file |
save_gcae_setup | Save a 'gcae_setup' to file |
save_labels_table | Save a 'GCAE' labels file |
save_model | Save a 'GCAE' autoencoder architecture file |
save_model_plot | Save a 'GCAE' autoencoder architecture file |
set_n_neurons_in_latent_layer | Set the number of neurons in the latent layer |
summarise_gcae_input_data | Summarise the 'gcae_input_data' |
summarise_gcae_input_files | Summarise the GCAE input files |
uninstall_gcae | Uninstall GCAE |
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