![]() Set the environment variable HYDRA_FULL_ERROR=1 for a complete stack trace. ValueError: could not convert string ‘oid sha256:xxxxxxxxxxxxx’ to float64 at row 0, column 1. Values = np.loadtxt(filename, skiprows=1, delimiter=delimiter, unpack=False)įile “/usr/local/lib/python3.8/dist-packages/numpy/lib/npyio.py”, line 1338, in loadtxtĪrr = _read(fname, dtype=dtype, comment=comment, delimiter=delimiter,įile “/usr/local/lib/python3.8/dist-packages/numpy/lib/npyio.py”, line 999, in _read Openfoam_var = csv_to_dict(to_absolute_path(“validation/helmholtz.csv”), mapping)įile “/usr/local/lib/python3.8/dist-packages/modulus-22.9-p圓.8.egg/modulus/utils/io/csv_rw.py”, line 33, in csv_to_dict The above exception was the direct cause of the following exception: ![]() ValueError: could not convert string to float: ‘oid sha256:xxxx’ JIT using the NVFuser TorchScript backend examples/helmholtz# python3 helmholtz.py however, I am getting an error as follows: Thank you.I am running the /example/helmholtz/ case as described in the installation guide. # print('Bin descriptions: %s' % str(discretizer._bin_descriptions))Īny help processing this would be greatly appreciated. # print('Interval cut-points: %s' % str(discretizer._cuts)) # print('Discretized dataset:\n%s' % str(X_train_discretized)) # print('Original dataset:\n%s' % str(X_train)) #Print a slice of original and discretized data ![]() # discretizer = MDLP_Discretizer(features=numeric_features) #Initialize discretizer object and fit to training data # X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.33) # numeric_features = np.arange(X.shape) # all fetures in this dataset are numeric. # feature_names, class_names = dataset, dataset The code for this implementation is from sklearn import datasetsįrom sklearn.model_selection import train_test_split ![]() ValueError: could not convert string to float: 'A1' Items = įile "C:\Program Files (x86)\Microsoft Visual Studio\Shared\Python36_64\lib\site-packages\numpy\lib\npyio.py", line 1061, in įile "C:\Program Files (x86)\Microsoft Visual Studio\Shared\Python36_64\lib\site-packages\numpy\lib\npyio.py", line 768, in floatconv The program process the csv and loads the data.Īctual: Traceback (most recent call last):ĭataset = np.loadtxt(fname = 'A1-dm.csv', delimiter = ',')įile "C:\Program Files (x86)\Microsoft Visual Studio\Shared\Python36_64\lib\site-packages\numpy\lib\npyio.py", line 1134, in loadtxtįile "C:\Program Files (x86)\Microsoft Visual Studio\Shared\Python36_64\lib\site-packages\numpy\lib\npyio.py", line 1061, in read_data I am trying to replace datasets.load_iris() with a method to read the csv 'A1-md.csv'. The example that I am working with comes from the popular python tutorial with the iris data set. This file needs to be converted into a dataset. I have a program that needs to process a csv file. ![]()
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