Data Mining (imsl.data_mining)¶
Usage Notes¶
Decision Trees¶
Classes
| ALACARTDecisionTree(response_col_idx, var_type) | Generate a decision tree using the ALACART method. |
| C45DecisionTree(response_col_idx, var_type) | Generate a decision tree using the C4.5 method. |
| CHAIDDecisionTree(response_col_idx, var_type) | Generate a decision tree using the CHAID method. |
| QUESTDecisionTree(response_col_idx, var_type) | Generate a decision tree using the QUEST method. |
Apriori¶
Functions
| frequent_itemsets(max_num_products, x[, ...]) | Compute the frequent itemsets in a transaction set using Apriori. |
Classes
| FrequentItemSets() | Aggregate frequent itemsets and compute association rules. |
| AssociationRule() | Return information on an association rule. |