Make verbose an argument for the fit function

examples/abcdef.rs

@@ -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);

examples/kickscore-basics.rs

@@ -31,7 +31,7 @@ fn main() {
     model.observe(&["Jerry"], &["Tom"], 3.0);
     model.observe(&["Jerry"], &["Tom", "Spike"], 3.5);
 
-    model.fit();
+    model.fit(true);
 
     // We can predict a future outcome...
     let (p_win, _p_los) = model.probabilities(&["Jerry"], &["Tom"], 4.0);

examples/nba-history.rs

@@ -69,7 +69,7 @@ fn main() -> Result<(), Box<dyn std::error::Error>> {
         model.observe(&[&winner], &[&loser], t);
     }
 
-    model.fit();
+    model.fit(true);
 
     println!("Probability that CHI beats BOS...");