SNABSuite
0.x
Spiking Neural Architecture Benchmark Suite
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Go to the source code of this file.
Namespaces | |
show_csv | |
Functions | |
def | show_csv.print_tabular () |
def | show_csv.plot_tabular () |
Variables | |
show_csv.parser = argparse.ArgumentParser() | |
show_csv.help | |
show_csv.required | |
show_csv.type | |
show_csv.int | |
show_csv.default | |
show_csv.bool | |
show_csv.str | |
show_csv.args = parser.parse_args() | |
show_csv.path = args.out | |
tuple | show_csv.figsize = (7, 8) |
show_csv.cols = list(pd.read_csv(args.path, nrows=1)) | |
list | show_csv.filter_in = [re.compile('[\w]*_weight'), re.compile('accuracy'), re.compile('pool_delay')] |
show_csv.csv_data = pd.read_csv(args.path, usecols=[i for i in cols if any(re.match(fil, i) for fil in filter_in)]) | |
list | show_csv.data = [] |
show_csv.uni_accuracies = np.unique(data[-1]) | |