Tinyml Workshop Runtime Error

在 Colab 中打开 arduino_tinyml_workshop.ipynb，并从“Run with Test Data”单元格开始。结合打印出的 inputs_test、outputs_test 和 predictions 的形状，检查报告中提到的绘图代码行，然后重新运行该单元格。完成的标准是教程单元格在没有报告的 ValueError 的情况下运行完成，并显示实际数据和预测数据的图表。

Running through the tutorial: Nano 33 BLE Sense Rev2
Get Started With Machine Learning on Arduino

In arduino_tinyml_workshop.ipynb in Colab
Got data and uploaded to Colab.
Running the cells, got to the cell: Run with Test Data'
Runtime errors on these lines:
plt.plot(inputs_test, outputs_test, 'b.', label='Actual')
plt.plot(inputs_test, predictions, 'r.', label='Predicted')

Added in a few prints of data...

OUTPUT WITH ERRORS:
1/1 [==============================] - 0s 39ms/step
predictions =
[[1. 0. ]
[0.998 0.002]
[0. 1. ]
[1. 0. ]]
inputs_test =
[[0.701375 0.520875 0.378875 ... 0.500183 0.499817 0.499878 ]
[0.5895 0.461625 0.743125 ... 0.500534 0.50016775 0.50004575]
[0.68425 0.4585 0.71725 ... 0.4999695 0.4987335 0.49971 ]
[0.66625 0.51975 0.3385 ... 0.500885 0.500702 0.5009155 ]]
actual =
[[1. 0.]
[1. 0.]
[0. 1.]
[1. 0.]]

ValueError Traceback (most recent call last)
in <cell line: 12>()
10 plt.clf()
11 plt.title('Training data predicted vs actual values')
---> 12 plt.plot(inputs_test, outputs_test, 'b.', label='Actual')
13 plt.plot(inputs_test, predictions, 'r.', label='Predicted')
14 plt.show()

3 frames
/usr/local/lib/python3.10/dist-packages/matplotlib/axes/_base.py in _plot_args(self, tup, kwargs, return_kwargs, ambiguous_fmt_datakey)
520 ncx, ncy = x.shape[1], y.shape[1]
521 if ncx > 1 and ncy > 1 and ncx != ncy:
--> 522 raise ValueError(f"x has {ncx} columns but y has {ncy} columns")
523 if ncx == 0 or ncy == 0:
524 return []

ValueError: x has 714 columns but y has 2 columns