Function reference • dtrfgv

All functions
`Species_to_predict`	Species to predict
`best_node_cost()`	best_node_cost
`bsamples()`	bsamples
`calcul_cart()`	calcul_cart
`cartgv()`	cartgv
`cartgv.rf()`	cartgv.rf
`cartgv_split()`	cartgv_split
`carts`	Data to test function predict_cartgv
`conditional_error()`	conditional_error
`cost_complexity()`	cost_complexity
`cost_error()`	cost_error
`coups`	Dataframe contains in data_phoneme
`descendant()`	descendant
`entropy()`	entropy
`extract_subtrees()`	extratct_subtrees
`get_node_leaves()`	get_node_leaves
`get_nodes()`	get_nodes
`gini()`	gini
`group` `group`	Data to test function rfgv
`group.selection()`	group.selection
`grpimpperm.rf()`	grpimpperm.rf
`impurete_rpart()`	impurete_rpart
`impurity.cartgv()`	impurity.cartgv
`impurity.cartgv.rf()`	impurity.cartgv.rf
`local_error()`	local_error
`magasin`	Data for decision tree tutorial
`new`	Dataframe contains in data_phoneme
`node_cost()`	node_cost
`node_error()`	node_error
`node_prob()`	node_prob
`opt.cut()`	opt.cut
`performances()`	performances
`perm()`	perm
`pred_cart()`	pred_cart
`predict_cartgv()`	predict_cartgv
`predict_cartgv.rf()`	predict_cartgv.rf
`rfgv()`	rfgv
`rfgv_dataset`	Data to test function rfgv
`split_cartgv()`	split_cartgv()
`surrogate_split()`	surrogate_split
`test`	Dataframe contains in data_phoneme
`train`	Dataframe contains in data_phoneme
`tree`	Dataframe contains in data_phoneme
`tree.cartgv`	Dataframe contains in data_phoneme
`xtab_function()`	xtab function

Reference