sys.stdout.flush() print(" ")# Use a panda dataframe to organize the resultsresults_df = pandas.DataFrame(results, columns="method loss time init".split()) print("Total time = %0.3f sec\n"% (time() - start))# plot the resultsplot_results(results_df, plot_name)returnresults_df 开...
ret = BrewPipeDataFrame('y') ret.data = tmpreturnret 开发者ID:meyerd,项目名称:brewPipe,代码行数:16,代码来源:tf_leastsquares.py 示例8: testInitializeSameTableWithMultipleNodes ▲点赞 1▼ deftestInitializeSameTableWithMultipleNodes(self):vocabulary_file = self._createVocabFile("one_column_5.tx...
DataFrame( index=test_dataset.samples_frame.id, columns=["proba", "label"] ) test_dataloader = torch.utils.data.DataLoader( test_dataset, shuffle=False, batch_size=self.hparams.get("batch_size", 4), num_workers=self.hparams.get("num_workers", 16)) for batch in tqdm(test_...
# 需要导入模块: from nolearn.lasagne import NeuralNet [as 别名]# 或者: from nolearn.lasagne.NeuralNet importinitialize[as 别名]defcreate_nn():''' Create a neural net with one (or more) layers to fit the featurized data. A single softmax layer is equivalent to doing logistic regression on ...
graph: the `Graph` in which the `DataFrame` should be built. session: the `Session` in which to run the columns of the `DataFrame`. start_queues: if true, queues will be started before running and halted after producting `n` batches. ...