*BEGIN SYNTAX model_graph
model_finder		string
filename_base		string
default_model_file	string
type.tri		string
fold.tri		string
Tmtktri_filename	int_vector
model_file		string
model			model_p
fakeRel_model		fakerel_model_p
nbase_graphs		int

# internal
model_finder_ptr	modelfinder_p
default_model		model_p
*END

*BEGIN SYNTAX model_node
model_file		string	!
domain_file		string	!
label			string	!
Tmtktri_filename	string
occurence_count		int
noinstance_count	int

# internal
domain			domain_p
model			model_p
*END


*BEGIN SYNTAX model_edge
model_file		string
label1			string
label2			string
occurence_count		int
noinstance_count	int

#internal
model			model_p
*END


# sous-noeuds

# Domaines

*BEGIN SYNTAX domain_box
ndata	int
xmax	float
xmin	float
ymax	float
ymin	float
zmax	float
zmin	float
*END

*BEGIN SYNTAX domain_box2
ndata	int
xmax	float
xmin	float
ymax	float
ymin	float
zmax	float
zmin	float
*END

*BEGIN SYNTAX inertial_domain_box
xmin		float
xmax		float
ymin		float
ymax		float
zmin		float
zmax		float
ndata		int
point_number	int
inertia		float_vector
refgravity_center	float_vector
rotation	float_vector
eigenvalues	float_vector
*END

*BEGIN SYNTAX null_domain
*END


# Modeles adaptatifs

*BEGIN SYNTAX ad_tree
mix_method		string
void_label		string
significant_labels	string
nb_learn_data		int
*END

*BEGIN SYNTAX ad_leaf
work			string
eval			string
workmemo		string
evalmemo		string
void_label		string
significant_labels	string
nb_learn_data		int
learn_state		int
nb_learn_data_memo	int
*END

*BEGIN SYNTAX top_adaptive
void_label		string
significant_labels	string
nb_learn_data		int
weight			float
*END

*BEGIN SYNTAX null_model
*END

*BEGIN SYNTAX const_model
value			float !
*END

*BEGIN SYNTAX fake_relation
*END


# Experts SubAdaptive

*BEGIN SYNTAX sub_ad_mlp
name		string
usedinputs	int_vector
net		string
nstats		int
sigma		float_vector
mean		float_vector
eta		float
min_out		float
max_out		float
error_rate	float
gen_error_rate			float
global_min_gen_error		float
global_max_gen_error		float
local_min_gen_error		float
local_max_gen_error		float
gen_good_error_rate		float
global_good_min_gen_error	float
global_good_max_gen_error	float
local_good_min_gen_error	float
local_good_max_gen_error	float
app_good_error_rate		float
steps_since_gen_min		int
*END

*BEGIN SYNTAX sub_ad_gauss
name			string		!
usedinputs		int_vector	!
nstats			int		!
sigma			float_vector	!
mean			float_vector	!
error_rate		float
gen_error_rate			float
global_min_gen_error		float
global_max_gen_error		float
local_min_gen_error		float
local_max_gen_error		float
gen_good_error_rate		float
global_good_min_gen_error	float
global_good_max_gen_error	float
local_good_min_gen_error	float
local_good_max_gen_error	float
app_good_error_rate		float
steps_since_gen_min		int

#ninputs			int		!
#ngauss				int		!
gauss_weights			float_vector	!
gauss_sigma			float_vector	!
gauss_centers			float_vector	!
gauss_samesigma			int
etaW				float		!
etaC				float
etaS				float
default_value			float
gauss_learn_func		string
*END

*BEGIN SYNTAX sub_ad_svm
name		string
usedinputs	int_vector
net		string
nstats		int
sigma		float_vector
mean		float_vector
min_out		float
max_out		float
error_rate	float
gen_error_rate			float
global_min_gen_error		float
global_max_gen_error		float
local_min_gen_error		float
local_max_gen_error		float
gen_good_error_rate		float
global_good_min_gen_error	float
global_good_max_gen_error	float
local_good_min_gen_error	float
local_good_max_gen_error	float
app_good_error_rate		float
steps_since_gen_min		int
svm_mode			string
quality_slope			float
quality_shifted_bad_output	int
*END


# CliqueDescr

*BEGIN SYNTAX fold_descriptor
nstats_normal		int
normal			float_vector
limit_size		float
*END

*BEGIN SYNTAX fold_descriptor2
nstats_normal		int
normal			float_vector
e1e2			float_vector
nstats_E1E2		int
direction		float_vector
nstats_dir		int
*END

*BEGIN SYNTAX inter_fold_descriptor
*END

*BEGIN SYNTAX inter_fold_descriptor2
*END

*BEGIN SYNTAX brain_junction_descriptor
*END



# Mixers


*BEGIN SYNTAX mean_mixer
*END