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Fix ValueError in main Perceptron.ipynb for NumPy 2.x compatibility 

Co-authored-by: leestott <2511341+leestott@users.noreply.github.com>
This commit is contained in:
copilot-swe-agent[bot] 2025-10-03 12:48:59 +00:00
parent e74b0c4658
commit ab98173e7f
1 changed files with 4 additions and 5 deletions
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9
lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb
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@ -462,10 +462,9 @@
" neg_out = np.dot(negative_examples, weights) \n",
" pos_correct = (pos_out >= 0).sum() / float(pos_count)\n",
" neg_correct = (neg_out < 0).sum() / float(neg_count)\n",
" # make correction a list so it is homogeneous to weights list then numpy array accepts\n",
" snapshots.append((np.concatenate(weights),[(pos_correct+neg_correct)/2.0,0,0]))\n",
" snapshots.append([np.copy(weights).flatten(), (pos_correct+neg_correct)/2.0])\n",
"\n",
" return np.array(snapshots)\n",
" return np.array(snapshots, dtype=object)\n",
"\n",
"snapshots = train_graph(pos_examples,neg_examples)\n",
"\n",
@ -477,7 +476,7 @@
" pylab.plot(np.arange(len(snapshots[:,1])), snapshots[:,1])\n",
" pylab.ylabel('Accuracy')\n",
" pylab.xlabel('Iteration')\n",
" pylab.plot(step, snapshots[step,1][0], \"bo\")\n",
" pylab.plot(step, snapshots[step,1], \"bo\")\n",
" pylab.show()\n",
"def pl1(step): plotit(pos_examples,neg_examples,snapshots,step)"
]
@ -1078,4 +1077,4 @@
},
"nbformat": 4,
"nbformat_minor": 2
}
}