ax.imshow(gradient, aspect='auto', cmap=plt.get_cmap(name)) ax.text(-0.01, 0.5, name, va='center', ha='right', fontsize=10, transform=ax.transAxes) # Turn off *all* ticks & spines, not just the ones with colormaps. for ax in axs: ax.set_axis_off() # Save colormap list ...
The horizontal axis represents the mean of the actual value for the group. The size of the bubble shows the frequency or count of values in that range. The vertical axis is the average residual error. The Regression model report also includes a Training Details page like the reports for ...
Variable `Input` contains uninitialized Tensor. [Hint: Expected t->IsInitialized() == true, but received t->IsInitialized():0 != true:1.] (at /paddle/paddle/fluid/framework/operator.cc:2411) [operator < conv2d_fusion > error] python-BaseException...
idx = np.argmax(batch_probs, axis=-1) idx = idx.tolist() labels = [label_map[i] for i in idx] predictions.extend(labels) # 看看预测数据前5个样例分类结果 for idx, data in enumerate(test_ds.data[:10]): print('Data: {} \t Label: {}'.format(data[0], predictions[idx])) 1...
Additionally, there are several arguments that control for chart title, axis names, bar colors, custom bar labels for 'other' and 'net', and x label rotation angles Check out these examples for simple charts. Random forest interpretation Additionally, the output metrics of a decision tree interp...
Cells: Displays the number of cells selected. Error coverage: Displays the percentage of all errors concentrated in the selected cell(s). Error rate: Displays the percentage of failures of all data points in the selected cell(s). Axis features: Selects the intersection of features to display ...
The recombination frequency of each VK gene is indicated as a percentage of all VK-JK rearrangement events and is shown as a mean value with SEM based on six independent VDJ-seq experiments for each pro-B cell type. The different VK genes (horizontal axis) are aligned according to their ...
elementwise_add(pre_bias, bias, axis=channel_dim) ValueError: (InvalidArgument) The input of Op(Conv) should be a 4-D or 5-D Tensor. But received: input's dimension is 3, input's shape is [3, 224, 224]. [Hint: Expected in_dims.size() == 4 || in_dims.size() == 5 ==...
against the alternative hypothesis that the estimated parameter from one condition were part of a population with a different mean than the other condition. The test was performed using 50,000 permutations using the Permute package implemented in Python60. P-values were corrected for multiple comparis...
Moreover, the purpose of the LHCb detector is to study heavy quark hadron decays. Those decays are known to produce particles coming out almost parallel to the beam pipe. Hence, the incident angle of particles striking the calorimeter is between 1° and 21°, with respect to the beam axis...