Welcome to Ideal Flow Network (IFN)’s documentation!
Contents:
- Overview
- Ideal Flow Network (IFN) - Beginner’s Guide
- Basic Use of IFN
- IFN Tutorial for General Network
- General Network
- IFN Tutorial
- How to Apply IFN in Your Field of Study?
- IFN for Classification of Data Table (Supervised Learning)
- Transportation Mode Choice
- IFN Tutorial for Natural Language Processing
- IFN Spirituality, System Thinking and Morality
- Data Structure
- Unit Tests
- Ideal Flow Package
- Module contents
- Submodules
- IdealFlow.Command module
- IdealFlow.Network module
- Ideal Flow Network
IFNIFN.abs_diff_capacity_flow()IFN.add_first_link()IFN.add_last_link()IFN.add_link()IFN.add_node()IFN.add_random_ones()IFN.adj_list_to_matrix()IFN.adjacency_to_ideal_flow()IFN.adjacency_to_stochastic()IFN.all_shortest_path()IFN.alphabet_list()IFN.assign()IFN.assign_adjacency_list()IFN.assign_cycle_to_matrix()IFN.association_predict_actor_net()IFN.association_predict_trajectory()IFN.association_train()IFN.average_flowIFN.average_flow_matrix()IFN.average_node_entropyIFN.average_node_entropy_matrix()IFN.average_node_entropy_ratioIFN.average_node_entropy_ratio_matrix()IFN.backtracking()IFN.backtracking_cycle_limit()IFN.bfs()IFN.bfs_until()IFN.binarized_matrix()IFN.canonize()IFN.canonize_cycle_dict()IFN.canonize_signature()IFN.capacity_to_adjacency()IFN.capacity_to_balance_inflow_outflow()IFN.capacity_to_congestion()IFN.capacity_to_ideal_flow()IFN.capacity_to_stochastic()IFN.cardinal_ifn_signature()IFN.change_flow_in_cycle()IFN.color_graph()IFN.combinations()IFN.complement()IFN.complete_graph()IFN.compose()IFN.congestion()IFN.copy_dict()IFN.cov_flowIFN.cov_flow_matrix()IFN.create_node_mapping()IFN.cycle_dict_to_signature()IFN.cycle_length()IFN.cycle_sum_weight()IFN.decimal_to_fraction()IFN.decompose()IFN.delete_link()IFN.delete_node()IFN.densityIFN.dfs()IFN.dfs_adj_list()IFN.dfs_until()IFN.diameterIFN.difference()IFN.duplicate()IFN.equivalent_ifn()IFN.excel_col_to_num()IFN.extract_first_k_terms()IFN.extract_last_k_terms()IFN.find_a_cycle()IFN.find_all_cycles_in_adj_list()IFN.find_all_cycles_in_matrix()IFN.find_all_paths()IFN.find_all_permutation_cycles()IFN.find_all_walks_in_matrix()IFN.find_cardinal_ifn_signature_exhaustive()IFN.find_cycles()IFN.find_element_in_list()IFN.find_key_in_dict()IFN.find_path()IFN.find_path_cycle_limit()IFN.find_pivot_type()IFN.find_pivots()IFN.flow_matrix_to_adj_list()IFN.flows_in_cycle()IFN.form_link_cycle_matrix()IFN.from_base62()IFN.generate()IFN.generate_combinations()IFN.generate_random_terms()IFN.get_data()IFN.get_link_flow()IFN.get_linksIFN.get_matrix()IFN.get_path()IFN.get_path_entropy()IFN.get_path_probability()IFN.global_scaling()IFN.hadamard_division()IFN.has_pivot()IFN.ideal_flow()IFN.ideal_flow_to_stochastic()IFN.identify_unique_nodes()IFN.in_degreeIFN.in_neighbors()IFN.in_weightIFN.intersect()IFN.inverse_dict()IFN.is_acyclicIFN.is_bipartiteIFN.is_connectedIFN.is_contain_cycleIFN.is_cycle_canonical()IFN.is_cycle_has_coef_1()IFN.is_edge_in_cycle()IFN.is_equal_network()IFN.is_equal_signature()IFN.is_equivalent_ifn()IFN.is_eulerian_cycleIFN.is_ideal_flowIFN.is_ideal_flow_matrix()IFN.is_irreducible_matrix()IFN.is_irreducible_signature()IFN.is_non_empty_adj_list()IFN.is_non_negative_matrix()IFN.is_path()IFN.is_positive_matrix()IFN.is_premagicIFN.is_premagic_matrix()IFN.is_premier_matrix()IFN.is_premier_signature()IFN.is_reachable()IFN.is_row_stochastic_matrix()IFN.is_square_matrix()IFN.is_strongly_connectedIFN.is_trajectory_cycle()IFN.is_valid_signature()IFN.kappa()IFN.link_combination()IFN.link_cycle_matrix()IFN.link_permutation()IFN.load()IFN.load_adj_list()IFN.markov()IFN.match()IFN.matrix_apply_cycle()IFN.matrix_replace_value()IFN.matrix_to_adj_list()IFN.max_flowIFN.max_flow_matrix()IFN.max_flow_path()IFN.max_network_entropy()IFN.merge_adjacency_list()IFN.merge_signatures()IFN.min_flowIFN.min_flow_matrix()IFN.min_flow_path()IFN.min_irreducible()IFN.network_delete_cloud()IFN.network_entropyIFN.network_entropy_matrix()IFN.network_entropy_ratioIFN.network_entropy_ratio_matrix()IFN.network_probabilityIFN.node_index()IFN.node_name()IFN.nodesIFN.nodes_flowIFN.num_to_excel_col()IFN.num_to_str_fraction()IFN.order_markov_higher()IFN.order_markov_lower()IFN.out_degreeIFN.out_neighbors()IFN.out_weightIFN.overlay()IFN.parse_cycle()IFN.parse_terms_to_dict()IFN.path_distance()IFN.path_length()IFN.path_sum_weight()IFN.permutations()IFN.premier_ifn()IFN.premier_signature()IFN.query()IFN.query_cycle_limit()IFN.rand_capacity()IFN.rand_ifn_signature()IFN.rand_int()IFN.rand_irreducible()IFN.rand_permutation_eye()IFN.rand_stochastic()IFN.random_cycle_from()IFN.random_ideal_flow_matrix()IFN.random_ifn()IFN.random_irreducible_stochastic()IFN.random_walk_cycle()IFN.random_walk_from()IFN.random_walk_matrix()IFN.random_walk_nodes()IFN.read_csv()IFN.reduce_link_flow()IFN.reindex()IFN.relabel_signature()IFN.reverse_network()IFN.reverse_relabel_signature()IFN.row_stochasticIFN.save()IFN.save_adj_list()IFN.set_data()IFN.set_link_weight()IFN.set_link_weight_plus_1()IFN.set_matrix()IFN.set_path()IFN.shortest_path()IFN.show()IFN.signature_coef_to_1()IFN.signature_to_adj_list()IFN.signature_to_coef_flow()IFN.signature_to_column_stochastic()IFN.signature_to_ideal_flow()IFN.signature_to_kappa()IFN.signature_to_link_flow()IFN.signature_to_links()IFN.signature_to_max_flow()IFN.signature_to_min_flow()IFN.signature_to_num_links()IFN.signature_to_num_nodes()IFN.signature_to_pivots()IFN.signature_to_row_stochastic()IFN.signature_to_sum_cols()IFN.signature_to_sum_rows()IFN.solve_cycles()IFN.stationary_markov_chain()IFN.stdev_flowIFN.stdev_flow_matrix()IFN.stochastic_to_entropy_ratio()IFN.stochastic_to_ideal_flow()IFN.stochastic_to_network_entropy()IFN.stochastic_to_pi()IFN.stochastic_to_probability()IFN.str_to_num()IFN.string_to_matrix()IFN.sum_dict_values()IFN.sum_of_col()IFN.sum_of_row()IFN.to_adjacency_matrix()IFN.to_base62()IFN.to_equal_inflow()IFN.to_equal_outflow()IFN.to_graph()IFN.to_markov_order()IFN.total_flowIFN.total_linksIFN.total_nodesIFN.trajectory_to_links()IFN.union()IFN.universe()IFN.unlearn()IFN.weighted_random_choice()
- IdealFlow
- Ideal Flow Package
- Module contents
- Submodules
- IdealFlow.Command module
- IdealFlow.Network module
- Ideal Flow Network
IFNIFN.abs_diff_capacity_flow()IFN.add_first_link()IFN.add_last_link()IFN.add_link()IFN.add_node()IFN.add_random_ones()IFN.adj_list_to_matrix()IFN.adjacency_to_ideal_flow()IFN.adjacency_to_stochastic()IFN.all_shortest_path()IFN.alphabet_list()IFN.assign()IFN.assign_adjacency_list()IFN.assign_cycle_to_matrix()IFN.association_predict_actor_net()IFN.association_predict_trajectory()IFN.association_train()IFN.average_flowIFN.average_flow_matrix()IFN.average_node_entropyIFN.average_node_entropy_matrix()IFN.average_node_entropy_ratioIFN.average_node_entropy_ratio_matrix()IFN.backtracking()IFN.backtracking_cycle_limit()IFN.bfs()IFN.bfs_until()IFN.binarized_matrix()IFN.canonize()IFN.canonize_cycle_dict()IFN.canonize_signature()IFN.capacity_to_adjacency()IFN.capacity_to_balance_inflow_outflow()IFN.capacity_to_congestion()IFN.capacity_to_ideal_flow()IFN.capacity_to_stochastic()IFN.cardinal_ifn_signature()IFN.change_flow_in_cycle()IFN.color_graph()IFN.combinations()IFN.complement()IFN.complete_graph()IFN.compose()IFN.congestion()IFN.copy_dict()IFN.cov_flowIFN.cov_flow_matrix()IFN.create_node_mapping()IFN.cycle_dict_to_signature()IFN.cycle_length()IFN.cycle_sum_weight()IFN.decimal_to_fraction()IFN.decompose()IFN.delete_link()IFN.delete_node()IFN.densityIFN.dfs()IFN.dfs_adj_list()IFN.dfs_until()IFN.diameterIFN.difference()IFN.duplicate()IFN.equivalent_ifn()IFN.excel_col_to_num()IFN.extract_first_k_terms()IFN.extract_last_k_terms()IFN.find_a_cycle()IFN.find_all_cycles_in_adj_list()IFN.find_all_cycles_in_matrix()IFN.find_all_paths()IFN.find_all_permutation_cycles()IFN.find_all_walks_in_matrix()IFN.find_cardinal_ifn_signature_exhaustive()IFN.find_cycles()IFN.find_element_in_list()IFN.find_key_in_dict()IFN.find_path()IFN.find_path_cycle_limit()IFN.find_pivot_type()IFN.find_pivots()IFN.flow_matrix_to_adj_list()IFN.flows_in_cycle()IFN.form_link_cycle_matrix()IFN.from_base62()IFN.generate()IFN.generate_combinations()IFN.generate_random_terms()IFN.get_data()IFN.get_link_flow()IFN.get_linksIFN.get_matrix()IFN.get_path()IFN.get_path_entropy()IFN.get_path_probability()IFN.global_scaling()IFN.hadamard_division()IFN.has_pivot()IFN.ideal_flow()IFN.ideal_flow_to_stochastic()IFN.identify_unique_nodes()IFN.in_degreeIFN.in_neighbors()IFN.in_weightIFN.intersect()IFN.inverse_dict()IFN.is_acyclicIFN.is_bipartiteIFN.is_connectedIFN.is_contain_cycleIFN.is_cycle_canonical()IFN.is_cycle_has_coef_1()IFN.is_edge_in_cycle()IFN.is_equal_network()IFN.is_equal_signature()IFN.is_equivalent_ifn()IFN.is_eulerian_cycleIFN.is_ideal_flowIFN.is_ideal_flow_matrix()IFN.is_irreducible_matrix()IFN.is_irreducible_signature()IFN.is_non_empty_adj_list()IFN.is_non_negative_matrix()IFN.is_path()IFN.is_positive_matrix()IFN.is_premagicIFN.is_premagic_matrix()IFN.is_premier_matrix()IFN.is_premier_signature()IFN.is_reachable()IFN.is_row_stochastic_matrix()IFN.is_square_matrix()IFN.is_strongly_connectedIFN.is_trajectory_cycle()IFN.is_valid_signature()IFN.kappa()IFN.link_combination()IFN.link_cycle_matrix()IFN.link_permutation()IFN.load()IFN.load_adj_list()IFN.markov()IFN.match()IFN.matrix_apply_cycle()IFN.matrix_replace_value()IFN.matrix_to_adj_list()IFN.max_flowIFN.max_flow_matrix()IFN.max_flow_path()IFN.max_network_entropy()IFN.merge_adjacency_list()IFN.merge_signatures()IFN.min_flowIFN.min_flow_matrix()IFN.min_flow_path()IFN.min_irreducible()IFN.network_delete_cloud()IFN.network_entropyIFN.network_entropy_matrix()IFN.network_entropy_ratioIFN.network_entropy_ratio_matrix()IFN.network_probabilityIFN.node_index()IFN.node_name()IFN.nodesIFN.nodes_flowIFN.num_to_excel_col()IFN.num_to_str_fraction()IFN.order_markov_higher()IFN.order_markov_lower()IFN.out_degreeIFN.out_neighbors()IFN.out_weightIFN.overlay()IFN.parse_cycle()IFN.parse_terms_to_dict()IFN.path_distance()IFN.path_length()IFN.path_sum_weight()IFN.permutations()IFN.premier_ifn()IFN.premier_signature()IFN.query()IFN.query_cycle_limit()IFN.rand_capacity()IFN.rand_ifn_signature()IFN.rand_int()IFN.rand_irreducible()IFN.rand_permutation_eye()IFN.rand_stochastic()IFN.random_cycle_from()IFN.random_ideal_flow_matrix()IFN.random_ifn()IFN.random_irreducible_stochastic()IFN.random_walk_cycle()IFN.random_walk_from()IFN.random_walk_matrix()IFN.random_walk_nodes()IFN.read_csv()IFN.reduce_link_flow()IFN.reindex()IFN.relabel_signature()IFN.reverse_network()IFN.reverse_relabel_signature()IFN.row_stochasticIFN.save()IFN.save_adj_list()IFN.set_data()IFN.set_link_weight()IFN.set_link_weight_plus_1()IFN.set_matrix()IFN.set_path()IFN.shortest_path()IFN.show()IFN.signature_coef_to_1()IFN.signature_to_adj_list()IFN.signature_to_coef_flow()IFN.signature_to_column_stochastic()IFN.signature_to_ideal_flow()IFN.signature_to_kappa()IFN.signature_to_link_flow()IFN.signature_to_links()IFN.signature_to_max_flow()IFN.signature_to_min_flow()IFN.signature_to_num_links()IFN.signature_to_num_nodes()IFN.signature_to_pivots()IFN.signature_to_row_stochastic()IFN.signature_to_sum_cols()IFN.signature_to_sum_rows()IFN.solve_cycles()IFN.stationary_markov_chain()IFN.stdev_flowIFN.stdev_flow_matrix()IFN.stochastic_to_entropy_ratio()IFN.stochastic_to_ideal_flow()IFN.stochastic_to_network_entropy()IFN.stochastic_to_pi()IFN.stochastic_to_probability()IFN.str_to_num()IFN.string_to_matrix()IFN.sum_dict_values()IFN.sum_of_col()IFN.sum_of_row()IFN.to_adjacency_matrix()IFN.to_base62()IFN.to_equal_inflow()IFN.to_equal_outflow()IFN.to_graph()IFN.to_markov_order()IFN.total_flowIFN.total_linksIFN.total_nodesIFN.trajectory_to_links()IFN.union()IFN.universe()IFN.unlearn()IFN.weighted_random_choice()
- Ideal Flow Package
- Data Management Methods
- Node Management
- Link Management
- Flow Management
- Adjacency List Operations
- Path and Trajectory Analysis
- Network Indices
- Network Operations
- Matrix Operations
- Stochastic and Probability
- Markov Chain Analysis
- Query and Search Methods
- Neighborhood
- Ideal Flow Network
- Random Walk and Random Cycle
- Entropy
- Cycle Analysis
- Signature Analysis
- Utilities and Helper Methods
- Data Science, Machine Learning and Artificial Intelligence
- Tutorial on Markov Order
- Transportation Analysis