def _base_win_launchers_default(self):
return [
WindowLauncher(node_name='Box plot',
view_creator=box_plot,
owner_ref=self,
loop_name='base_win_launchers'),
WindowLauncher(node_name='Stacked histogram',
view_creator=stacked_histogram,
owner_ref=self,
loop_name='base_win_launchers')
]
def _populate_window_launchers(self):
adv_enable = False
std_launchers = [
# ("Overview", "plot_overview"),
("Scores", scores_plot),
("Loadings", loadings_plot),
("Correlation loadings", corr_load_plot),
("Explained variance", expl_var_plot),
]
adv_launchers = [
# ("Show residuals (subtree)", "show_residuals"),
# ("Predicated X cal", "show_pred_x_cal"),
# ("Predicated X val", "show_pred_x_val"),
("MSEE total (explained variance", "show_msee_tot"),
("MSEE individual", "show_msee_ind"),
("MSECV total", "show_msecv_tot"),
("MSECV individual", "show_msecv_ind"),
]
if adv_enable:
std_launchers.extend(adv_launchers)
return [
WindowLauncher(
node_name=nn,
view_creator=fn,
owner_ref=self,
loop_name='window_launchers',
) for nn, fn in std_launchers
]
def _populate_me_plot_launchers(self):
vn = self.model.design_vars + self.model.consumers_vars
self.me_plot_launchers = [
WindowLauncher(owner_ref=self,
node_name=name,
loop_name='me_plot_launchers',
view_creator=plot_main_effects,
func_parms=tuple([name])) for name in vn
]
def _pred_y_val_launch_default(self):
res = self.get_result()
pyv = res.pred_val_y
return [WindowLauncher(node_name="After PC{}".format(i),
view_creator=pred_y_val_table,
func_parms=tuple([i]),
owner_ref=self,
loop_name='pred_y_val_launch',
)
for i, v in enumerate(pyv, 1)]
def test_en():
wl1 = WindowLauncher(node_name='Ones',
view_creator=func_one,
func_parms=("One",),
)
wl2 = WindowLauncher(node_name='Twos',
view_creator=func_two,
func_parms=("Two",),
)
wl3 = WindowLauncher(node_name='Threes',
view_creator=func_three,
func_parms=("Three",),
)
vn = ViewNavigator(res='Hello')
vn.view_loop.append(wl1)
vn.view_loop.append(wl2)
vn.view_loop.append(wl3)
pto = vn.show_next()
ptre = vn.show_next()
pen = vn.show_next()
ptre = vn.show_previous()
pto = vn.show_previous()
assert pto.hello() == 'Two say Hello'
def _create_win_launchers(self):
if self.model.summary_axis == 'Row-wise':
nl = self.model.ds.obj_n
else:
nl = self.model.ds.var_n
wll = []
for n in nl:
wl = WindowLauncher(owner_ref=self,
node_name=n,
view_creator=plot_histogram,
func_parms=tuple([n]),
loop_name='idx_win_launchers')
wll.append(wl)
return wll
def _populate_int_plot_launchers(self):
vn = self.model.design_vars + self.model.consumers_vars
if self.model.model_struct == 'Struct 2':
int_plot_launchers = [(u"{0}:{1}".format(*comb), comb[0], comb[1])
for comb in combinations(vn, 2)]
else:
int_plot_launchers = []
self.int_plot_launchers = [
WindowLauncher(owner_ref=self,
node_name=nn,
loop_name='int_plot_launchers',
view_creator=plot_interaction,
func_parms=tuple([p_one, p_two]))
for nn, p_one, p_two in int_plot_launchers
]
def _populate_window_launchers(self):
std_launchers = [
# ("Overview", plot_overview),
("X Scores", scores_plot),
("X&Y correlation loadings", corr_loadings_plot),
("X loadings", loadings_x_plot),
("Y loadings", loadings_y_plot),
("Explained variance in X", expl_var_x_plot),
("Explained variance in Y", expl_var_y_plot),
]
return [WindowLauncher(node_name=nn, view_creator=fn,
owner_ref=self,
loop_name='window_launchers',
)
for nn, fn in std_launchers]
def _populate_table_win_launchers(self):
# Populate table windows launchers
table_win_launchers = [
("LS means", means_table),
("Fixed effects", fixed_table),
("Random effects", random_table),
("Pair-wise differences", diff_table),
# ("Full model residuals", residu_table),
# ("Fixed residuals", resid_ind_table),
]
return [
WindowLauncher(
owner_ref=self,
node_name=nn,
view_creator=fn,
loop_name='table_win_launchers',
) for nn, fn in table_win_launchers
]