Some bugfixes and misc

resources/js/components/IterationTable.vue

@@ -1,5 +1,6 @@
 <script setup lang="ts">
-import { computed, ComputedRef } from 'vue';
+import { computed } from 'vue';
+import type { ComputedRef } from 'vue';
 import type { Iteration } from '@/types/perceptron';
 
 const props = defineProps<{
@@ -13,7 +14,9 @@ const props = defineProps<{
 const allWeightPerIteration: ComputedRef<number[][]> = computed(() => {
     return props.iterations.map((iteration) => {
         // We flatten the weights
-        return iteration.weights.flat(2);
+        return iteration.weights
+            .flat(2)
+            .filter((weight): weight is number => weight !== null && Number.isFinite(weight));
     });
 });
 
@@ -61,10 +64,10 @@ const rowBgDark = computed(() => {
                     v-for="(weight, weightIndex) in allWeightPerIteration[index]"
                     v-bind:key="weightIndex"
                 >
-                    {{ weight.toFixed(2) }}
+                    {{ Number.isFinite(weight) ? weight.toFixed(2) : 'N/A' }}
                 </td>
             </template>
-            <td>{{ iteration.error.toFixed(2) }}</td>
+            <td>{{ iteration.error === null ? 'N/A' : iteration.error.toFixed(2) }}</td>
         </tr>
 
         <tr

resources/js/components/PerceptronIterationsErrorsGraph.vue

@@ -28,6 +28,8 @@ const datasets = computed<ErrorDataset[]>(() => {
     const exampleCountPerEpoch: Record<number, number> = {};
 
     props.iterations.forEach((iteration) => {
+        const error = iteration.error ?? 0;
+
         if (!epochErrorOnly.value) {
             const exampleLabel = `Exemple ${iteration.exampleIndex}`;
             let dataset = datasets.find((d) => d.label === exampleLabel);
@@ -45,8 +47,8 @@ const datasets = computed<ErrorDataset[]>(() => {
             }
             dataset.data.push(
                 props.isRegression
-                    ? Math.abs(iteration.error)
-                    : iteration.error,
+                    ? Math.abs(error)
+                    : error,
             );
         }
 
@@ -55,7 +57,7 @@ const datasets = computed<ErrorDataset[]>(() => {
         // Epoch error
         epochAverageError[iteration.epoch] =
             (epochAverageError[iteration.epoch] || 0) +
-            iteration.error ** 2 / 2;
+            error ** 2 / 2;
     });
 
     // Sort dataset by label (Exemple 0, Exemple 1, ...)