Spaces:
Running
Running
James McCool
commited on
Commit
·
2fa1322
1
Parent(s):
aebd6f1
Add informative tooltip for distribution type selection in ROO simulations
Browse files
app.py
CHANGED
@@ -85,6 +85,7 @@ with tab2:
|
|
85 |
with st.sidebar:
|
86 |
site_var_sb = st.selectbox("Select Site", ["Draftkings", "Fanduel"])
|
87 |
distribution_type_sb = st.selectbox("Select Distribution Type", ['normal', 'poisson', 'bimodal'])
|
|
|
88 |
floor_var_sb = st.number_input("Floor (low end multiplier)", min_value=0.00, max_value=.50, value=.25, step=.01)
|
89 |
ceiling_var_sb = st.number_input("Ceiling (high end multiplier)", min_value=1.50, max_value=3.00, value=2.00, step=.01)
|
90 |
std_var_sb = st.number_input("Standard Deviation (variance within distribution)", min_value=1.00, max_value=5.00, value=4.00, step=.01)
|
|
|
85 |
with st.sidebar:
|
86 |
site_var_sb = st.selectbox("Select Site", ["Draftkings", "Fanduel"])
|
87 |
distribution_type_sb = st.selectbox("Select Distribution Type", ['normal', 'poisson', 'bimodal'])
|
88 |
+
st.info("The distribution type will determine the shape of the distribution of the ROO values. The normal distribution is for more linear projections, the poisson distribution is for stats like HRs and other counting stats, and the bimodal distribution is useful for event oriented outcomes frequent in MMA.")
|
89 |
floor_var_sb = st.number_input("Floor (low end multiplier)", min_value=0.00, max_value=.50, value=.25, step=.01)
|
90 |
ceiling_var_sb = st.number_input("Ceiling (high end multiplier)", min_value=1.50, max_value=3.00, value=2.00, step=.01)
|
91 |
std_var_sb = st.number_input("Standard Deviation (variance within distribution)", min_value=1.00, max_value=5.00, value=4.00, step=.01)
|