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View training loss curve.

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+ },
2264
+ "df_train": {
2265
+ "columns": [
2266
+ "x",
2267
+ "y"
2268
+ ]
2269
+ },
2270
+ "training": {
2271
+ "columns": [
2272
+ "training_loss"
2273
+ ]
2274
+ }
2275
+ },
2276
+ "other": {
2277
+ "model": {
2278
+ "model": {
2279
+ "inputs": [
2280
+ "Input__tensor_1_output"
2281
+ ],
2282
+ "loss_inputs": [
2283
+ "Input__tensor_3_output",
2284
+ "Output_1_x"
2285
+ ],
2286
+ "outputs": [
2287
+ "Output_1_x"
2288
+ ],
2289
+ "trained": true
2290
+ },
2291
+ "type": "model"
2292
+ }
2293
+ },
2294
+ "relations": []
2295
+ }
2296
+ ],
2297
+ "meta": {
2298
+ "inputs": {
2299
+ "bundle": {
2300
+ "name": "bundle",
2301
+ "position": "left",
2302
+ "type": {
2303
+ "type": "<class 'lynxkite_graph_analytics.core.Bundle'>"
2304
+ }
2305
+ }
2306
+ },
2307
+ "name": "View loss",
2308
+ "outputs": {},
2309
+ "params": {},
2310
+ "position": {
2311
+ "x": 968.0,
2312
+ "y": 610.0
2313
+ },
2314
+ "type": "visualization"
2315
+ },
2316
+ "params": {},
2317
+ "status": "done",
2318
+ "title": "View loss"
2319
+ },
2320
+ "dragHandle": ".bg-primary",
2321
+ "height": 417.0,
2322
+ "id": "View loss 1",
2323
+ "position": {
2324
+ "x": 2052.643815443704,
2325
+ "y": 617.6466886696832
2326
+ },
2327
+ "type": "visualization",
2328
+ "width": 721.0
2329
  }
2330
  ]
2331
  }
lynxkite-graph-analytics/src/lynxkite_graph_analytics/lynxkite_ops.py CHANGED
@@ -389,6 +389,7 @@ def train_model(
389
  losses.append(loss)
390
  m.trained = True
391
  bundle = bundle.copy()
 
392
  bundle.other[model_name] = m
393
  return bundle
394
 
@@ -431,3 +432,17 @@ def train_test_split(bundle: core.Bundle, *, table_name: str, test_ratio: float
431
  bundle.dfs[f"{table_name}_train"] = train
432
  bundle.dfs[f"{table_name}_test"] = test
433
  return bundle
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
389
  losses.append(loss)
390
  m.trained = True
391
  bundle = bundle.copy()
392
+ bundle.dfs["training"] = pd.DataFrame({"training_loss": losses})
393
  bundle.other[model_name] = m
394
  return bundle
395
 
 
432
  bundle.dfs[f"{table_name}_train"] = train
433
  bundle.dfs[f"{table_name}_test"] = test
434
  return bundle
435
+
436
+
437
+ @op("View loss", view="visualization")
438
+ def view_loss(
439
+ bundle: core.Bundle,
440
+ ):
441
+ loss = bundle.dfs["training"].training_loss.tolist()
442
+ v = {
443
+ "title": {"text": "Training loss"},
444
+ "xAxis": {"type": "category"},
445
+ "yAxis": {"type": "value"},
446
+ "series": [{"data": loss, "type": "line"}],
447
+ }
448
+ return v