Hi I wonder if there is an author can correct some mistakes in the document.
When I practice the example at https://mxnet.apache.org/api/python/docs/tutorials/getting-started/logistic_regression_explained.html at the paragrph(section 9), when I try to run the code , avg_train_loss = train_model() / train_data_size I get a error like this "raise TypeError('Operator `{}` registered in backend is known as `{}` in Python. ' TypeError: Operator `stack` registered in backend is known as `stack` in Python. This is a legacy operator which can only accept legacy ndarrays, while received an MXNet numpy ndarray. Please call `as_nd_ndarray()` upon the numpy ndarray to convert it to a legacy ndarray, and then feed the converted array to this operator." probably its related to the codes that I changed, because when one(who is new to mxnet) try to run the example code, they will encouter the following error and must correct it Section 1 mx.np.random.seed(12345) # Added for reproducibility # mx.np.random.seed(12345) # Added for reproducibility otherwise, it will throw an error like np does not have function random() Section 2 # x = np.random.normal(0, 1, size=(size, 10), device=device) x = np.random.normal(0, 1, size=(size, 10)) otherwise, it will tell the device does not work for normal function Section 6 accuracy = mx.metric.Accuracy() # accuracy = mx.gluon.metric.Accuracy() f1 = mx.metric.F1() # f1 = mx.gluon.metric.F1() otherwise, it reports that mx.gluon does not have function of mertric. I believe that some mistakes was caused by the early version and its not applied to version 1.7.0. My question is, where I can contact someone to update the old codes? --- [Visit Topic](https://discuss.mxnet.apache.org/t/report-hello-word-error-in-getting-started-logistic-regression-explained/7156/1) or reply to this email to respond. You are receiving this because you enabled mailing list mode. To unsubscribe from these emails, [click here](https://discuss.mxnet.apache.org/email/unsubscribe/9106b6be1238e84694923efb79f58404b736773a3a0cbf8a03040f590559cf95).
