![]() Np. Probs = probs.numpy() # numpy vector prints better Probs = T.softmax(logits, dim=1) # tensor X = T.tensor(X, dtype=T.float32).to(device) Print("\nPredicting job for M 30 concord $50,000: ") Print("Accuracy on test data = %0.4f" % acc_test) Print("Accuracy on training data = %0.4f" % acc_train) 'optimizer_state' : optimizer.state_dict()Īcc_train = accuracy(net, train_ds) # item-by-item 'numpy_random_state' : np.random.get_state(), 'torch_random_state' : T.random.get_rng_state(), Y = batch # correct class/label/jobĮpoch_loss = loss_val.item() # accumulate T.manual_seed(epoch 1) # checkpoint reproducibilityįor (batch_idx, batch) in enumerate(train_ldr): Optimizer = T.optim.SGD(net.parameters(), lr=lrn_rate) Loss_func = T.nn.CrossEntropyLoss() # applies log-softmax() # valid_ds = EmployeeDataset(valid_file) # all rows # valid_file = ".\\Data\\employee_validate.txt" Test_ds = EmployeeDataset(test_file) # all 40 rows Train_ds = EmployeeDataset(train_file) # all 200 rows Train_file = ".\\Data\\employee_train.txt" Print("\nBegin Employee predict job type ") Y = T.flatten(dataset)Īrg_maxs = T.argmax(oupt, dim=1) # argmax() is new Z = self.oupt(z) # no softmax: CrossEntropyLoss()Īcc = (n_correct * 1.0) / (n_correct n_wrong) Usecols=range(0,7), delimiter="\t", skiprows=0, # comments="#", dtype=np.int64) # 1D requiredĪll_xy = np.loadtxt(src_file, max_rows=num_rows, # tmp_y = np.loadtxt(src_file, max_rows=num_rows, # tmp_x = np.loadtxt(src_file, max_rows=num_rows, # -Ĭlass EmployeeDataset(T.):ĭef _init_(self, src_file, num_rows=None): ![]() # PyTorch 1.10.0-CPU Anaconda3-2020.02 Python 3.7.6ĭevice = T.device('cpu') # apply to Tensor or Module The mascot of Evergreen State College in Olympia is Speedy the geoduck. Geoduck meat can run between 20 and 30 in the United States. The oldest living geoduck known was 168 years. # predict job type from sex, age, city, income Speedy the Geoduck: Website: The Evergreen State College is a public liberal arts college in Olympia, Washington. Geoducks are seen as an aphrodisiac and a delicacy in parts of Asia. Right: Speedy the Geoduck from Evergreen State University. The demo saves checkpoints every 100 epochs. ![]() The demo trains the network for 1000 epochs using stochastic gradient descent with a fixed learning rate of 0.01 and a batch size of 10. The network is explicitly intitialized using xavier_uniform_() on the weights and zeros_() on the biases. There is no output activation because the demo use CrossEntropyLoss() which automatically adds log_softmax() activation. My demo neural network has 6-(10-10)-3 architecture with tanh() hidden activation. The variable-to-predict, Job Type, is ordinal encoded as mgmt = 0, supp = 1, tech = 2. Income is normalized by dividing by $100,000. My data has 200 training items and 40 test items. One of my standard examples for PyTorch neural network classification is to predict employee job type (mgmt, supp, tech) from sex, age, city (anaheim, boulder, concord), and income. Retrieved from evergreen.Because the field of machine learning changes so quickly, it’s important to stay up to date with the latest versions of libraries such as Keras and PyTorch. Retrieved from Evergreen State College (ca. Truly, a college with a mascot as magnificent as Speedy the Geoduck must be a good college, with a good reputation and a kind heart, for no heart is as kind as Speedy the Geoduck’s. His status as mascot has often been a point of ridicule, called ‘the worst mascot ever’ and the ‘oddest mascot’ by people who do not know of his great legacy. Speedy is obviously always in a good mood, despite his terrified face. He can adapt and change to fit the student’s needs, much like the college itself. Evergreen is a college that is not driven by competition, thus explaining Speedy’s open and pacifistic attitude. The geoduck is said to represent everything that Evergreen State College represents. The design for Speedy the Geoduck is fantastic and original: Instead of having him look intimidating and tough like every other sports mascot, Evergreen gave him googly eyes and a face that looks like he just received news that he’s the father. So naturally, the geoduck is the mascot for Evergreen State College. It is described as having a ‘crunchy’ texture and a good taste. It is a slow, lumbering sort of creature that is, at best, an interesting sight visiting the west coast. They have clam shells, but coming from that clam shell is a rather long and thick trunk that the geoduck presumably uses for digging into the sands of the west coast of the United States. Their mascot is known as Speedy the Geoduck.Ī geoduck (pronounced gooey-duck) is a type of clam, one that is known for burrowing and looking supremely weird. If I had to choose a college based on the mascot, I would choose Evergreen State College in Olympia, Washington.
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