def show_individual():
nodes = [
"avginc",
"calwpct",
"compstu",
"computer",
"elpct",
"enrltot",
"expnstu",
"mathscr",
"mealpct",
"readscr",
"str",
"teachers",
"testscr",
]
state = get_state()
st.subheader("Individual Representation")
ind_class = inspect.getsource(ga_library.Individual)
st.code(ind_class)
st.subheader("Example")
# curr_edge_prob = state.get("edge_prob", .5)
state.edge_prob = st.slider("Edge Probability",
min_value=0.,
max_value=1.,
value=.5)
mat, topology = utils.generate_random_dag(nodes, p=state.edge_prob)
visualize_individual(mat, topology)
def show(state: SessionState):
st.header("Estimate")
state = get_state()
if state.model.stage < ModelStage.IDENTIFIED:
st.error("Please prepare the statistical model by identifying it first!")
if st.button("Generate data"):
df = generate_data(n=1000, seed=777, beta1=1.05, alpha1=0.5, alpha2=0.5)
st.dataframe(df)
def main():
state = get_state()
if "model" not in state:
# st.write(f"Model stage: {state.model.stage}")
# else:
st.write("No model created")
st.write("initializing model")
sel_page = st.sidebar.radio("Navigation", list(PAGES))
PAGES[sel_page].show(state)
def setup_sidebar() -> str:
option = st.sidebar.radio("Outline", list(PAGES.keys()), index=0)
if option == "Framework":
option = st.sidebar.radio("Step:", list(FRAMEWORK_PAGES.keys()))
else:
fw_step = None
return option
if __name__ == "__main__":
st.set_page_config(page_title="HalGA", layout="wide", page_icon="🧬")
page_name = setup_sidebar()
state = get_state()
if "toolbox" not in state:
st.write("Initializing DEAP")
data = pydataset.data("Caschool")
state.toolbox = ga_library.setup_deap(ga_library.TOOLBOX, data)
else:
# st.write(f"found toolbox: {state.toolbox}")
pass
# if st.sidebar.button("Start"):
# learn_structure.show()
# else:
page = PAGES[page_name] if page_name in PAGES else FRAMEWORK_PAGES[
page_name]
st.title(page_name)
page.show()
def show(state: SessionState):
st.header("identify")
state = get_state()
if state.model.stage < ModelStage.DEFINED:
st.error("Please create the model first!")
def show(state: SessionState):
st.header("Verify")
state = get_state()
if state.model.stage < ModelStage.ESTIMATED:
st.error("The model must be estimated before it can be verified")
def show_summary():
st.header("Summary")
state = get_state()
if "edge_prob" in state:
st.write(f"Edge Probability: {state.edge_prob}")
pass