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Make verbose an argument for the fit function

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Anders Olsson
2022-06-07 16:04:04 +02:00
parent b01193779d
commit e879377980
8 changed files with 12 additions and 14 deletions
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10
examples/abcdef.rs
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@@ -16,7 +16,7 @@ fn main() {
model.observe(&["A"], &["B"], 0.0);
model.fit();
model.fit(true);
for player in ["A", "B", "C", "D", "E", "F"] {
let (mu, sigma) = model.item_score(player, 1.25);
@@ -26,7 +26,7 @@ fn main() {
model.observe(&["C"], &["D"], 0.25);
model.fit();
model.fit(true);
for player in ["A", "B", "C", "D", "E", "F"] {
let (mu, sigma) = model.item_score(player, 1.25);
@@ -36,7 +36,7 @@ fn main() {
model.observe(&["E"], &["F"], 0.50);
model.fit();
model.fit(true);
for player in ["A", "B", "C", "D", "E", "F"] {
let (mu, sigma) = model.item_score(player, 1.25);
@@ -46,7 +46,7 @@ fn main() {
model.observe(&["B"], &["C"], 0.75);
model.fit();
model.fit(true);
for player in ["A", "B", "C", "D", "E", "F"] {
let (mu, sigma) = model.item_score(player, 1.25);
@@ -56,7 +56,7 @@ fn main() {
model.observe(&["D"], &["E"], 1.00);
model.fit();
model.fit(true);
for player in ["A", "B", "C", "D", "E", "F"] {
let (mu, sigma) = model.item_score(player, 1.25);